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Senior AI Designer (Combat & Encounters)
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. DESIGN What We Do Put your design skills to work at a cutting-edge company that challenges the norm. From character and level design to competitive gameplay and system design, help shape the future of interactive entertainment at Epic. What You'll Do Epic Games is looking for an experienced Senior AI Designer to join our cross-disciplinary development team, where you will own the vision and create innovative features. In this role, you will - Own the design vision for AI-focused features. - Craft high-quality, player-facing AI behaviors and abilities using behavior trees and visual scripting. - Create quick prototypes to try out and demonstrate new ideas in the game - Collaborate with team members from various disciplines to deliver high-quality experiences to our players - Cooperate with other designers from the AI team to define and promote a cohesive vision for AI in your project - Use playtest feedback to iterate and improve AI features - Create and maintain clear and concise design documentation What we're looking for - Experience shipping multiple AAA titles as a Designer - Experience developing AI for a highly systemic environment - Experience creating behavior trees and using visual scripting - A creative approach that can surprise and amaze players with new ideas and experiences - Talent for empathizing with players and a deep understanding of player motivations. - Team player with good communication skills (verbal and written) This role is open to multiple locations in North America (including CA & WA). EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). California Base Pay Range $158,988 - $233,182 USD Washington Base Pay Range $144,535 - $211,984 USD ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Project Lead - AI
Project Lead - AI Keywords Studios · Bengaluru, India · Full-time · Posted 2026-04-23 Workplace: onsite Department: AI Description Company Introduction: Keywords Studios, established in Dublin in 1998, now has 70+ studios across Europe, North and South America and Asia with 13,000 employee strength located across 5 continents and 23 countries. The company provides a complete outsourced game art, engineering, testing, audio and localization service for all Console, PC, Handheld and Mobile content, to many of the biggest names in games and interactive entertainment, working on thousands of titles including many of the best-selling titles of the past few years. Keywords Studios is comprised of many individual brands, all with something unique to offer our clients. The studios are integrated into the Group by Service Line and use the operating systems and tools deployed by those services lines to ensure people and projects can operate across studios and across geographies. For more info please refer to https://www.keywordsstudios.com/ Job Overview: This exciting new Lead role focuses on the managing of a 40-person team who are accountable for the training of an AI engine and coordinating work/hand-offs to alternate time zones. This role includes performance management and team morale, client engagement and stakeholder management, prioritization of work, KPI management, and process improvement. Responsibilities: - Manage a team of 40 employees including Performance Management - KPI Management - Process improvement - Work in a fast-paced environment - Work collaboratively with engineers, researchers, and product managers - Ensure proper documentation and instructions are in place for remote teams - Manage the successful delivery of hand-offs from the US team to remote teams - Manage scope of work and deliverables for team - Learn new software programs on the job - Think strategically about end-to-end processes and how to improve them - Execute and Deliver on Process improvements Requirements - Strong People Management Skills (3 years of experience, min. 15 FTEs) - Experience in working/leading with international teams - Previous experience working in a corporate environment, especially on large-scale projects - Strong Collaboration Skills - Comfortable launching new projects (3 plus years’ experience leading projects) - Comfortable presenting research findings and insights - Critical thinking and problem-solving skills (solution oriented) - Ability to multi-task - Great Excellent interpersonal and communication skills - Exceptional Organization skills - Technical aptitude in one or more of the following: Spreadsheets (eg, Excel, Google Sheets), Email/calendar (eg Outlook, Gmail), project management (eg, JIRA, Asana) - Ability to assist in system troubleshooting and resolution - Exemplify the quality of doing "whatever it takes," including a high level of accountability, transparency, and teamwork Benefits - Cab Facility - Medical Insurance, Term Insurance and Accidental Insurance - Lunch / Dinner provided at subsidized rates Role Information: IN Location: Asia Pacific Studio: Location: Keywords India Area of Work: QA Testing Services Service: Globalize Employment Type: Full Time Working Pattern: In-Office Apply Apply at Keywords Studios --- Powered by Workable
Senior ML Engineer
ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. Within the Data team, you’ll join the Ad-Network Team which is an autonomous squad of around 30 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters). The goal of this team is to provide a way for Voodoo to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a real-time bidding environment. It is a strategic topic with significant impact on the business. This role can be done on fully remote (EMEA time-zone). ROLE - You will integrate a small, high-ownership squad where you own the full lifecycle - design, implement, deploy, monitor, and iterate - with direct impact on revenue-critical systems processing millions of bid requests per second. - Lead the design and architecture of backend services that power real-time model inference and bidding decisions for our OpenRTB platform. - Collaborate with data scientists and machine learning engineers to deploy, monitor, and optimize ML models that influence real-time bidding strategies, pricing decisions, and targeting - including potentially developing proprietary models in-house. - Oversee the development of A/B testing frameworks and ensure the seamless integration of experimentation tools into our platform for continuous model and bidding optimization. - Ensure that all backend services are high-performance, low-latency, and scalable, capable of handling large data volumes (millions of bidding events per second). - Set best practices for architecture, API design, and distributed systems to ensure robust and maintainable systems at scale. - Work with the cloud infrastructure teams to ensure efficient deployment, scaling, and monitoring of backend services using Kubernetes, Docker, and CI/CD pipelines. - Work closely with product managers to define and implement new features, optimizations, and improvements to the bidding and model inference system. - Lead efforts to optimize performance and cost-efficiency across the backend infrastructure, ensuring that the system can scale effectively with increasing traffic and data. - Continuously monitor the system’s performance, perform post-deployment analysis, and make improvements based on real-world usage and A/B test results. PROFILE (MUST HAVE) - 7+ years of experience in backend engineering, with a strong focus on designing and building scalable, high-performance systems. - Well-versed with machine learning and deploying models for inference in production. - Extensive experience in distributed systems, microservices, and API design using Python. - Hands-on experience with observability tools (e.g., Prometheus, Grafana) for metrics collection, log aggregation, and system monitoring. - Understanding of A/B testing concept and experience integrating them into backend systems for experimentation and optimization. - Proven ability to design, build, and manage cloud infrastructure using Kubernetes, Docker, and cloud-native tooling. Experience with other cloud providers is welcome, but AWS is preferred as it is our primary platform. - Solid experience with CI/CD pipelines, and infrastructure automation tools (e.g., Terraform). - A focus on building reliable, maintainable, and scalable systems, with experience in performance tuning and cost optimization. - Strong problem-solving skills, quality ownership and autonomy: able to take a task from design to production end-to-end - writing contract tests for upstream/downstream interfaces, verifying changes in staging, and treating CI as necessary but not sufficient. NICE TO HAVE : - Experience with OpenRTB and real-time bidding systems. - Expertise in real-time data processing and event-driven architectures (e.g., Kafka, GCP Pub/Sub, Kinesis) for building responsive, low-latency systems. - Genuine interest in understanding the full machine learning lifecycle - from modelization and training to serving and monitoring . - Experience with model serving frameworks (Triton Inference Server, TorchServe, TF Serving, Ray Serve, KServe, or similar) - deploying, configuring, and operating model servers in production. - Exposure to data science workflows and understanding how data engineers and data scientists collaborate in productionizing ML models. - Contributions to open-source projects or active involvement in technical communities related to backend engineering or machine learning. BENEFITS (FOR FRANCE) - Competitive salary upon experience - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Remote days
Staff Machine Learning Engineer, Offline Infrastru...
The opportunity Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems. To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound. We are seeking a staff ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads. You will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform. What you'll be doing - Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation - Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc. - Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows - Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing - Optimize performance and resource utilization across distributed compute systems used for data processing and model training - Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration - Lead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient What we're looking for - Strong experience building large-scale ML pipelines - Experience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training - Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines - Deep experience designing and operating production-grade data pipelines - Strong programming skills in Python and experience working with large-scale distributed workloads - Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms) - Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems - Proven ability to lead technical direction and influence architectural decisions across teams without formal authority Additional information - Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy . Should you have any concerns about your privacy, please contact us at DPO@unity.com. SEN #LI-ED1 *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $209,700 - $283,800 USD
Staff Machine Learning Engineer, Offline Infrastru...
The opportunity Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems. To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound. We are seeking a staff ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads. You will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform. What you'll be doing - Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation - Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc. - Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows - Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing - Optimize performance and resource utilization across distributed compute systems used for data processing and model training - Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration - Lead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient What we're looking for - Strong experience building large-scale ML pipelines - Experience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training - Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines - Deep experience designing and operating production-grade data pipelines - Strong programming skills in Python and experience working with large-scale distributed workloads - Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms) - Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems - Proven ability to lead technical direction and influence architectural decisions across teams without formal authority Additional information - Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy . Should you have any concerns about your privacy, please contact us at DPO@unity.com. SEN #LI-ED1 *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $209,700 - $283,800 USD
Senior Machine Learning Operations Engineer (MLOps...
Passionate about building and deploying Machine Learning pipelines at scale to drive business value? Join our growing Data Science Team as our first Senior Machine Learning Operations (MLOps) Engineer! What's in it for you? As a Senior MLOps Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation. Your role with us: In your role with us, you will enhance our machine learning operations (MLOps), delivering: robust, scalable AWS cloud infrastructure and automation solutions, that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users. Who are we? At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry, including Stake.com, Kick.com and Twist Gaming. Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide. All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies. Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 700+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone. Click play, on your career today! What you will do: - Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring. - Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform. - Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery. - Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance. - Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts. - Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure. What you will bring: Essential experience - 5+ years of experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams. - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - Expert proficiency in cloud infrastructure management using Terraform. - Deep hands-on experience with major cloud platforms (AWS, Azure or GCP). - Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads. - Proficiency with containerisation technologies (Docker, Kubernetes). - Advanced proficiency in Python and scripting for infrastructure automation. Bonus points if you also have: - Experience within iGaming. - Experience working with large volumes of data, preferably at petabyte-scale. - Extensive experience with distributed computing and big data technologies (e.g. Spark, Hadoop). - Familiarity with monitoring and observability platforms. - Knowledge of data security, governance, and compliance practices relevant to ML operations. Some of the perks of joining us: - Access to over 9,000 courses across our Learning and Development Platform. - EAP access for you and your family. - Be rewarded with lucrative annual bonuses. - Give back with a paid volunteer day. - Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house. - Break up the week with on site remedial massage Wednesdays. - In house full-time barista’s providing you your daily coffee needs. - Weekly team lunches and happy hour in the office from 4pm on Fridays. - Enjoy a bustling office with the option for up to 2 days work from home per week. - Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles. We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Machine Learning & Game Tech Architect
To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel and Beyond the Game Blog where we share behind-the-scenes insights and stories direct from our team members! CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you’ll be the key architect behind complex AI and game system integration, enabling novel experiences and serving as a bridge between machine learning and game developers. Responsibilities - Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems. - Design, develop and maintain learning and non-learning systems. - Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company. - Support programming and ML teams throughout development. - Establish and maintain quality guidelines for our ML applications. - Disseminate ML knowledge across the organization. - Improve the function of one’s team, either through individual achievement or through leadership. - Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results. - Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary. - A minimum of 7 years of experience designing, implementing, and maintaining API’s and applications. - Familiarity with classical AI concepts, such as symbolic processing and production systems. - Familiarity with Machine Learning: experience using leading ML libraries and platforms like TensorFlow, PyTorch and Keras. - Familiarity with modelling human behaviour and Reinforcement Learning is a strong plus. - Proficiency in C, C++, Rust, GO, or other system-level programming languages. - Proficiency in Python. - A track record of introducing ML solutions to traditional computer systems: experience in bringing ML systems into production, and inclination towards applied research. - History of working with high-performance computing and familiarity with the best practices in software optimization. - Familiarity with game engines and real-time simulations. - Intellectually curious. Humble and curious, constantly seeking learning opportunities, not limiting oneself to the bounds of role or company. - Autonomous: Proactive and self-driven. Capable of taking ambitious high-level goals, making a plan, driving it, and being accountable to the results. Nice to haves: - Master's degree in the fields of Computer Science, Mathematics, Statistics or other data-rich domains, or have an equivalent level of expertise from industry experience. - Unreal Engine experience. - Residence in the Eastern Time Zone (North America) preferred. The application window for this position will close by 10/30/2026. This job can be hybrid/in-office or fully remote. Health & Well-Being - Company-paid medical healthcare (dental, vision, and mental). - Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars. - Paid leave — 26 days of vacation, 10 sick days, & 12 calendar holidays per year. - 401K with employer matching. - Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more. - Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain. - RED Parents Network — support for working parents, including childcare benefits, and family-friendly events. Perks & Professional Growth - Flexible working hours. - Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available. - A welcome pack filled with goodies — to help you feel right at home once you join the team. Life in the Office - Dog-friendly office — bring your pooch with you and look after them while working! There’s always a furry friend or two to meet. - Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world. - No dress-code — we like to keep it casual. This position is a new role. Estimated pay range for this position: $186,900 - $257,000 USD annually At CD PROJEKT RED compensation for our roles in North America are determined based on competitive market data, geographic location, and individual factors tied to business needs. The base pay range is subject to change and may be modified in the future. Final offers are dependent on job-related factors like experience, qualifications, and location. If you've observed any irregularities (i.e. legal or ethical violations) in our recruitment process, please click here to report them anonymously. LI-Remote
GenAI Researcher
Business Unit What the Role Entails 【Job Responsibilities】 1. Take charge of the long-term technical roadmap planning, core architecture design and model research & development for the film and television AIGC business of Tencent Video, covering scenarios such as film & television video model generation and post-editing. 2. Lead the research and industrial application of cutting-edge generative models (e.g., DiT, unified understanding-generation architecture) . Build video generation and editing models with high fidelity, strong controllability and long-term temporal consistency. 3. Serve as the technical lead to drive continuous innovation of the team, define technical development directions, control project progress and delivery quality, and elevate the overall technical capability of the team. 4. Continuously track the latest advances in academia and industry (e.g., Sora, Veo, Kling, Runway). Evaluate and introduce cutting-edge technologies and methodologies to maintain the team’s technical leadership in the video generation field. Who We Look For 【Job Requirements】 1. Master’s or Doctoral degree in Computer Science, Artificial Intelligence, Multimedia or other related majors. 2. Over 2 years of algorithm R&D experience, with the latest 3 years deeply focused on AIGC video generation and editing. 3. Proficient in Python and skilled in deep learning frameworks including PyTorch and TensorFlow, with strong engineering implementation and code optimization capabilities. 4. Solid theoretical foundation in machine learning and deep learning, with in-depth understanding and rich hands-on experience of generative models (Diffusion Model, Flow Matching, auto-regressive model, VAE, Transformer, etc.). 5. Familiar with large-scale distributed training technologies (e.g., DeepSpeed, FSDP, Megatron-LM). Candidates with experience in training and optimization at the kilocard scale or above are preferred. 6. Have representative achievements in video generation and editing, with relevant papers published in top conferences including CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML and SIGGRAPH. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $163,800.00 to $307,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals. Who we are Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Machine Learning & Game Tech Architect
To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel and Beyond the Game Blog where we share behind-the-scenes insights and stories direct from our team members! CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you’ll be the key architect behind complex AI and game system integration, enabling novel experiences and serving as a bridge between machine learning and game developers. Responsibilities - Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems. - Design, develop and maintain learning and non-learning systems. - Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company. - Support programming and ML teams throughout development. - Establish and maintain quality guidelines for our ML applications. - Disseminate ML knowledge across the organization. - Improve the function of one’s team, either through individual achievement or through leadership. - Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results. - Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary. - A minimum of 7 years of experience designing, implementing, and maintaining API’s and applications. - Familiarity with classical AI concepts, such as symbolic processing and production systems. - Familiarity with Machine Learning: experience using leading ML libraries and platforms like TensorFlow, PyTorch and Keras. - Familiarity with modelling human behaviour and Reinforcement Learning is a strong plus. - Proficiency in C, C++, Rust, GO, or other system-level programming languages. - Proficiency in Python. - A track record of introducing ML solutions to traditional computer systems: experience in bringing ML systems into production, and inclination towards applied research. - History of working with high-performance computing and familiarity with the best practices in software optimization. - Familiarity with game engines and real-time simulations. - Intellectually curious. Humble and curious, constantly seeking learning opportunities, not limiting oneself to the bounds of role or company. - Autonomous: Proactive and self-driven. Capable of taking ambitious high-level goals, making a plan, driving it, and being accountable to the results. Nice to haves: - Master's degree in the fields of Computer Science, Mathematics, Statistics or other data-rich domains, or have an equivalent level of expertise from industry experience. - Unreal Engine experience. - Residence in the Eastern Time Zone (North America) preferred. The application window for this position will close by 10/30/2026. This job is fully remote. Health & Well-Being - Company-paid medical healthcare (dental, vision, and mental). - Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars. - Paid leave — 26 days of vacation, 10 sick days, & 12 calendar holidays per year. - RRSP with employer matching. - Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more. - Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain. - RED Parents Network — support for working parents, including childcare benefits, and family-friendly events. Perks & Professional Growth - Flexible working hours. - Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available. - A welcome pack filled with goodies — to help you feel right at home once you join the team. Life in the Office - Dog-friendly office — bring your pooch with you and look after them while working! There’s always a furry friend or two to meet. - Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world. - No dress-code — we like to keep it casual. This position is a new role. Estimated pay range for this position: $180,100 - $247,600 CAD annually At CD PROJEKT RED compensation for our roles in North America are determined based on competitive market data, geographic location, and individual factors tied to business needs. The base pay range is subject to change and may be modified in the future. Final offers are dependent on job-related factors like experience, qualifications, and location. If you've observed any irregularities (i.e. legal or ethical violations) in our recruitment process, please click here to report them anonymously. LI-Remote
Senior Data Scientist
Passionate about unearthing and driving complex data science solutions across huge amounts of data to drive business value? Join our growing Data Science Team! What's in it for you? As a Senior Data Scientist, you will play a pivotal role in driving all stages of our data science projects including: ideation, scoping, development, deployment and monitoring. Working closely with business stakeholders and leadership, you will get to work on our global platforms to architect and implement scalable solutions that will impact millions of users worldwide. Your role with us: In your role with us, you will drive and technically lead complex machine learning and AI initiatives across our global platform, architecting and implementing scalable solutions that handle petabyte-scale data and impact millions of users worldwide. The role involves providing technical leadership, mentoring junior team members, and working closely with stakeholders to deliver high-impact data science solutions that drive business value. Who are we? At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry, including Stake.com, Kick.com and Twist Gaming. Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide. All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies. Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 700+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone. Click play, on your career today! What you will do: - Technically lead the end-to-end machine learning solutions. Design, develop, and deploy comprehensive machine learning models from ideation and data collection to deployment and ongoing monitoring. - Drive the technical strategy and architecture decisions for large-scale data science projects - Apply statistical analysis and machine learning techniques to solve key business problems across various domains. - Design and implement robust monitoring systems for production ML models. - Partner with stakeholders to understand needs and communicate complex data science concepts, progress, and results to both technical and non-technical audiences. - Mentor and provide technical guidance to junior data scientists. What you will bring: - 5+ years of hands-on data science experience in industry. - Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field. - Expert-level programming skills in the Python ecosystem (numpy, pandas, scikit-learn). - Advanced proficiency in SQL. - Demonstrated expertise in machine learning algorithms and their practical applications. - Proven experience in designing and deploying production ML systems. - Experience with cloud platforms and distributed computing. - Track record of successfully delivering end-to-end ML projects. Bonus points if you also have: - Master's or PhD in relevant quantitative discipline. - Deep expertise in AWS cloud services and ML deployment pipelines. - Extensive experience with big data technologies and distributed computing frameworks. - Specialized expertise in one or more areas: NLP, Computer Vision, Recommender Systems - Experience with deep learning frameworks, particularly PyTorch. - Experience leading technical teams or mentoring junior data scientists. - Experience with ML systems design for high-scale, real-time applications. Some of the perks of joining us: - Access to over 9,000 courses across our Learning and Development Platform. - EAP access for you and your family. - Be rewarded with lucrative annual bonuses. - Give back with a paid volunteer day. - Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house. - Break up the week with on site remedial massage Wednesdays. - In house full-time barista’s providing you your daily coffee needs. - Weekly team lunches and happy hour in the office from 4pm on Fridays. - Enjoy a bustling office with the option for up to 2 days work from home per week. - Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles. We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Machine Learning & Game Tech Architect
Notre mission : créer des jeux de rôle narratifs révolutionnaires qui parlent au cœur des joueurs. Souhaitez-vous en savoir davantage sur notre culture d’entreprise ? Nous vous invitons à nous voir sur les réseaux sociaux et à vous rendre sur notre chaîne YouTube et notre blog Beyond the Game où des membres de nos équipes vous font directement part d’anecdotes et d’idées provenant de l’envers du décor ! CD PROJEKT RED est à la recherche d’un·e Architecte en Apprentissage Automatique et Technologies de Jeu afin de rejoindre notre équipe de R&D sur l’IA ! Dans ce rôle, vous serez l’architecte clé dans l’intégration de systèmes complexes d’IA et de systèmes de jeu, permettant de nouvelles expériences et servant d’intermédiaire entre l’apprentissage automatique et les développeurs de jeu. Responsabilités - Être responsable de l’architecture des systèmes hybrides de jeu et d’apprentissage automatique, endossant le rôle de contact principal pour l’intégration de l’apprentissage automatique dans les systèmes de jeu. - Concevoir, développer et assurer la maintenance de systèmes apprenants ainsi que non apprenants - Se tenir informé·e des dernières nouvelles, aussi bien dans le domaine de l’apprentissage automatique que dans celui des technologies de jeu, en identifiant et en explorant les applications qui seraient utiles pour l’entreprise. - Venir en aide aux équipes de programmation et d’apprentissage automatique tout au long des phases de développement. - Créer et maintenir à jour des directives de qualité pour nos applications d’apprentissage automatique. - Propager les connaissances liées à l’apprentissage automatique à l’ensemble de l’organisation. - Améliorer la fonction de votre équipe, que ce soit à travers des réussites personnelles ou du leadership - Entretenir une communication riche, attentionnée et franche avec vos collègues pour vous assurer d’obtenir les meilleurs résultats. - Rassembler, valider et répondre au feedback dinterne, ajustant au besoin les choix de design et de technologie. - Au moins 7 ans d’expérience dans la conception, l’implémentation et la maintenance d’API (interfaces de programmation d’application) et d’applications. - Connaître les concepts en IA classique, tel que le traitement symbolique et les systèmes de production. - Avoir des connaissances en apprentissage automatique : savoir utiliser les librairies majeures d’apprentissage automatique et les plateformes telles que TensorFlow, PyTorch et Keras. - Les connaissances en modélisation du comportement humain et en apprentissage par renforcement sont un fort atout. - Des compétences solides en C, C++, Rust, GO ou d’autres langages de programmation système. - Des compétences solides en Python. - Avoir à son actif l’introduction de solutions d’apprentissage automatique dans des systèmes d’ordinateurs traditionnels : avoir introduit des systèmes d’apprentissage automatique en production, et avoir un penchant pour la recherche appliquée. - Avoir travaillé avec du calcul haute performance et connaître les bonnes pratiques en matière d’optimisation de code. - Connaître les moteurs de jeu et les simulations en temps réel. - Être intellectuellement curieux·euse. Humble et curieux·euse, constamment à la recherche d’opportunités d’apprendre, ne se limite pas au périmètre de son rôle ou de la compagnie - Autonome : proactif·ve et motivé·e. Être capable de se fixer des objectifs ambitieux de haut niveau, de les planifier, de les piloter et de rendre des comptes des résultats. Compétences optionnelles recherchées: - Avoir un maîtrisedans les domaines de l’informatique, des mathématiques, des statistiques ou d’autres disciplines sur les données, ou un niveau équivalent d’expertise à travers de l’expérience d’industrie. - Savoir utiliser l’Unreal Engine. - Votre localisation géographique dans le fuseau horaire Est de l’Amérique du Nord est préférable. Il vous est possible de poser votre candidature pour ce poste jusqu’au 30 octobre 2026. Mode de travail : 100 % en télétravail. Santé et bien-être - Soins médicaux (dentaires, oculaires et santé mentale) pris en charge par l’entreprise. - Soutien médico-psychologique gratuit et incluant un accès à l’aide psychologique, aux soins psychiatriques et à une variété de webinaires sur le bien-être. - Congés payés : 26 jours de vacances, 10 jours d’arrêt maladie et 12 jours fériés par année. - REER collectif. - Compte de dépenses pour le style de vie (CDSV) : $100 par mois à utiliser pour le sport, votre bien-être, internet, votre équipement de télétravail, l’apprentissage, les services de streaming, et plus encore. - Congé menstruel : les employées qui ont leurs règles peuvent prendre un jour de congé supplémentaire en cas de règles douloureuses. - Réseau RED Parents : soutien pour les parents qui travaillent, y compris des avantages pour la garde d’enfants et des évènements organisés pour les familles. Avantages et développement professionnel - Horaires de travail flexibles. - Formations, séminaires et cours : des ateliers de travail en interne, des initiatives pour le partage de connaissances, des didacticiels en ligne, ainsi que des cours via e-learning sont disponibles. - Un kit de bienvenue rempli de goodies : pour vous aider à vous sentir chez vous une fois que vous avez rejoint l’équipe. La vie au studio - Les chiens sont acceptés : amenez votre chien avec vous au studio, vous pourrez veiller sur lui tout en travaillant ! Vous tomberez toujours sur quelques amis à quatre pattes dans nos locaux. - Un environnement de travail réellement international : vous aurez l’opportunité de faire la connaissance de personnes diverses venant des quatre coins du monde, et de travailler avec elles. - Pas de code vestimentaire : nous préférons une ambiance décontractée. Ce poste est un nouveau rôle. Fourchette de salaire estimée pour ce poste : entre $180 100 et $247 600 CAD par an. Chez CD PROJEKT RED, le calcul des rémunérations pour nos postes en Amérique du Nord se base sur les données du marché concurrentiel, la localisation géographique ainsi que des facteurs individuels liés aux besoins opérationnels. La fourchette de salaire de base n’est pas fixe et pourrait être réajustée à l’avenir. Les offres finales dépendent de facteurs liés au travail tels que l’expérience, les qualifications et la localisation. Si vous remarquez des irrégularités (ex. violations de la loi ou infractions en matière d’éthique) dans notre processus de recrutement, veuillez cliquer ici pour les signaler anonymement.
Senior Data Scientist (f/m/d)
adjoeis redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. Together, this ecosystem connects app developers to over 770 million users worldwide for scalable growth. We are a profitable, high-growth company backed by a $100 million investment from Bertelsmann. Operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. Meet Your Team: Playtime Data Science Playtime is a time- and event-based ad unit that continuously rewards users with in-app currency – for the time they spend and events completed while playing mobile games. We connect advertisers to 700+ million Playtime users and serve 2bn requests per day at low latency. We ensure that all parties involved have a positive experience. Advertisers get more users for their apps. Monetizers earn revenue for users on their platforms. Users play fun games while simultaneously getting rewarded. Our data science team powers the engine that distributes our ads. They solve multiple tasks such as developing algorithms to provide the most relevant ads for users, predicting user interests and inclinations, and dynamically adjusting pricing based on these predictions. Because the user base is very diverse we are using deep learning models that we could show to be able to serve the best ads to users. Within the Playtime team you will be responsible for services and models that we use to provide automated solutions both for our advertisers and publishers. What you will do: Who you are: Fuel for the Journey: Benefits to Support Your Ambitions
Senior Machine Learning Engineer, Roblox Assistant
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we're on a mission to empower creators to build and share immersive experiences. As a member of the Roblox Studio team, you’ll be working on the most popular tool for game development in the world. Our Studio team is seeking an exceptional Machine Learning Engineer to push the boundaries of AI-assisted game development. You'll improve the capabilities of Roblox Assistant and Code Assist, crafting the future of how games are built on our platform. Your work will directly impact millions of creators and players worldwide. You Will: - Advance Roblox Assistant's Reasoning: Pioneer innovative ways to improve our AI's ability to handle complex prompts. This may involve architecting novel models or fine-tuning innovative language models on diverse, large-scale datasets. - Specialize LLMs for Roblox: Lead efforts to fine-tune large language models on Roblox's unique data model, tailoring innovative AI to our specific ecosystem. Your work will bridge the gap between general-purpose LLMs and the niche needs of interactive content development. - Elevate Scripting Quality: Innovate on our Lua code data pipeline, developing sophisticated quality signals to ensure premier script generation. You Have: - Deep expertise in PyTorch or equivalent ML frameworks. - Proficiency with distributed data processing systems like PySpark. - Proven track record of deploying ML systems to production at scale. - Strong understanding of transformer architectures and their applications. - 3+ years of experience building ML systems / applications. - A passion for game development, with extra points for Roblox Lua scripting experience. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
[AI Research Div.] [전문연구요원] Research Scientist - G...
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. ※ 본 공고는 2026년도 전문연구요원 현역 신규편입 대상입니다. 조건 부적합 시 불합격으로 안내드리는 점 참고 부탁드립니다. AI Research 본부에 대한 더 많은 내용은 크래프톤 AI Research 본부 홈페이지 (아래 이미지 클릭) 및 크래프톤 AI Research 본부 소개 영상 을 통해 확인하실 수 있습니다. (바로가기 : KRAFTON AI ) 우리 팀(프로젝트)을 소개합니다. 지난 2021년부터 크래프톤은 우리가 가진 게임 제작역량을 새롭게 확장할 수 있는 영역이자 새로운 도전을 지속할 분야로 딥러닝을 제시하고 해당 분야 연구에 집중하고 있으며, 본격화를 위하여 핵심 인재 영입 등 적극적인 투자를 진행하고 있습니다. [AI Research 본부 비전] 크래프톤 AI Research 본부는 사내외 여러 분야와 협업 하여 다양한 문제에 대한 AI 솔루션을 제공하며, 자체 딥러닝 기술 연구를 통해 우리만의 서비스를 개발합니다. 그 방향성은 크게 두가지입니다. - 게임 제작에 도움이 될 수 있는 딥러닝 기술 개발을 통한 게임 제작 효율성 및 보편성 증대 - 유저와 함께 게임 플레이를 할 수 있는 Multi-modal LLM 기반 Foundation Model 개발 [R&D] 저희는 다양한 목표와 맥락에 유연하게 적응할 수 있는 Generalist Agent for Game Environments를 연구·개발합니다. 복잡한 게임 환경에 대한 이해를 바탕으로 실시간 의사결정과 상호작용이 가능한 에이전트를 만들어갑니다. 이 에이전트는 텍스트, 비주얼 정보, 게임 상태, 로그 등 다양한 입력을 이해하고, 상황에 맞는 행동과 상호작용을 생성할 수 있어야 합니다. 또한 고정된 역할이나 단일한 플레이 패턴에 머무르지 않고, 변화하는 환경과 목적에 맞춰 유연하게 작동할 수 있어야 합니다. 이를 위해 에이전트 구조 설계부터 데이터 구축, 학습, 평가, 추론 최적화까지 전 과정을 다루며, 실제 환경에서 동작 가능한 품질과 확장성을 갖춘 시스템을 만들어갑니다. 저희는 이러한 연구개발을 통해 게임 플레이 경험의 새로운 가능성을 만들어가고자 합니다. [Culture Fit] AI Research 본부 인원들은 다양한 프로젝트를 통하여 여러 분야의 팀원들과 교류하고 협업하며 다양한 문제에 창의적인 아이디어를 제시할 수 있습니다. 나이 및 직급에 관계없이 자유롭게 의견을 개진하는 분위기가 장려됩니다. 다양한 문화적 배경을 가진 인원들이 모여 팀을 이루고 있으며 활발한 소통을 위해 통·번역 등 언어적 장벽을 해소할 수 있는 방법들을 적극 지원하고 있습니다. 우리 팀과 함께할 미션을 소개합니다. - Generalist Agent for Game Environments 연구·개발 - 행동 및 상호작용 생성 에이전트 설계·구현 - 데이터 설계, 학습, 평가를 통한 성능 개선 - 데이터 파이프라인 구축·운영 - 실시간 추론 및 서빙 최적화 - 연구 결과 문서화 및 공유 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 2026년도 내 전문연구요원 현역 신규편입으로 입사 가능하신 분 (석사 이상 학위를 취득 또는 석/박사 통합과정 수료 대상) - Agent 시스템에 대한 이해와 실제 프로젝트 경험을 갖추신 분 - 딥러닝 논문 이해 및 실험 설계 역량 - LLM, VLM, 멀티모달 모델 관련 프로젝트 경험 - 문제를 구조화하고 해결할 수 있는 역량 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - AI/ML 주요 학회 및 저널 논문 게재 경험 - Agent, VLA, Decision Making, Human-AI Interaction 관련 연구 경험 - 실시간 추론 최적화, 서빙, 서비스 적용 경험 - 데이터 기반 평가 및 개선 경험 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > *과제 전형 > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 - *해당 절차는 각 포지션 및 후보자에 따라 변동이 있을 수 있습니다. - 상시 채용으로 채용 완료 시 조기 마감될 수 있습니다. - 필요 시, 인터뷰 및 직무 테스트가 추가될 수 있습니다. - 전형 일정 및 합격 또는 불합격 결과는 지원서에 등록하신 이메일 또는 유선으로 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필요시) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 센터필드 고용형태 - 정규직 (단, 후보자의 처우 협의 결과에 따라 고용형태가 변경될 수 있음) 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
Senior Principal AI/ML Engineer
Craft: Data, Analytics & Strategy Job Description: Senior Principal AI/ML Engineer – Decision Automation Candy Crush Saga | King Are you motivated by building the shared decisioning foundations for how a live game learns, experiments, and adapts at scale? Join King as a Senior Principal AI/ML Engineer in the Decision Automation team for Candy Crush Saga . In this role, you will help turn fragmented AI/ML and decisioning approaches into scalable, production-grade systems that support faster experimentation, safer adaptation, and more coherent player experiences across the game. This is a hands-on senior technical leadership role . You will shape direction through architecture, code, prototyping, design reviews, and deep technical judgment. We are not looking for a strategy-only leader. We are looking for someone who can build, simplify, and connect complex systems across team boundaries. The Role You’ll join the Decision Automation team within Candy Crush Saga: a cross-functional AI/ML team working closely with product, analytics, engineering, game teams, and central platform partners to enable faster, smarter, and more player-centric decisions across the game. Our mission is to accelerate Candy’s learning loop by automating insight generation, experimentation, and adaptation at scale. This role is central to helping define and build the shared architecture needed to make decision automation more scalable, reliable, and reusable across Candy. The team works across areas such as: - Causal inference and simulation capabilities usable by product teams - Generalized automated decisioning systems across multiple game features - Orchestration across ML systems to reduce conflicting treatments and coordination overhead With hundreds of millions of players, the systems you help shape will operate at significant scale and influence core player-facing decisions across Candy Crush Saga. What You’ll Do - Influence technical direction across Candy Crush Saga in AI/ML and decisioning through credibility, clarity, and delivery - Stay hands-on through meaningful production coding, technical prototyping, and implementation work on critical paths - Set a high bar for production AI/ML engineering, including reliability, observability, maintainability, and quality of execution - Mentor senior engineers and raise the standard of technical judgment, design quality, and cross-team collaboration - Lead the shared architecture for AI/ML and automated decisioning systems used across multiple components in Candy Crush Saga - Help unify fragmented approaches into reusable technical foundations that improve consistency, speed, and scalability - Partner with product and game teams to turn high-value opportunities into reusable capabilities rather than one-off solutions What You Bring Deep AI/ML Expertise - Deep experience building and shipping production AI/ML systems with meaningful business impact - Strong applied expertise in areas such as personalization and causal inference - Track record of connecting AI/ML methodology with real production guardrails, constraints and operational use Technical Leadership - Proven ability to influence technical direction across teams through credibility, clarity, and execution - Experience defining shared patterns, technical standards, or architectural direction in complex environments - Ability to lead senior-level technical discussions with substance and precision Communication and Collaboration - Excellent communication skills, with the ability to explain complex technical ideas clearly to both technical and non-technical audiences - Proven ability to influence across departments and align teams around shared technical direction - Strong mentoring capability, especially with senior engineers and technical leaders - Comfortable representing technical work in high-visibility forums, internally and externally Product and Cross-Functional Collaboration - Able to shape product bets through technical insight and co-create reusable capabilities with cross-functional partners - Effective working across engineering, analytics, product, and platform teams - Strong judgment in translating business goals into scalable technical systems Nice to Have - Experience with large-scale experimentation platforms, personalization systems, or decisioning infrastructure - Familiarity with game technology, player-facing optimization, or content adaptation systems - Experience reducing fragmented or bespoke ML workflows into shared technical foundations About King With a mission of Making the World Playful , King is a leading interactive entertainment company with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile game hits such as Farm Heroes Sag a. King games are played by more than 200 million monthly active users. King, part of Microsoft (NASDAQ: MSFT), has Kingsters in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta. More information can be found at King.com or by following us on LinkedIn , @lifeatking on Instagram, or @king_games on X.
Machine Learning Engineer
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: - Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc. - Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models - Collaborate with team members on drafting publications and patent submissions - Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: - PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post - 3+ years of experience in demonstrable research experience in industry or academia. - Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer), - Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar - Solid background in one or more of the following: (i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design; (ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar Desired qualifications: - Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar - Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing - Experience in image processing theory and methods, evidenced by the development of practical designs in this area - Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc. Benefits: - Discretionary bonus opportunity - Hybrid Working (within Flexmodes) - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Data Product Manager, Curation
Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We’re building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game. The Data Product Manager – Curation is responsible for designing and managing curated data products that power reporting, analytics, and emerging advanced analytics use cases across RSI like Machine Learning. This role focuses on building trusted, well-modeled, and well-documented data layers that translate raw source data into reusable, business-aligned datasets. The position partners closely with analytics and analyst teams as well as data and analytics engineering to improve data consistency, usability, and self-service adoption. While machine learning and advanced analytics are longer-term areas of evolution, this role lays the semantic and structural foundation required to support them in the future. This role is critical to closing the gap between ingestion and insight and strengthening RSI’s enterprise data maturity. What You'll Do: - Design and manage curated data products composed of fact and dimension tables optimized for reporting, analytics, and downstream analytical use cases. - Develop and maintain semantic and subject-area data models that support analytics self-service and consistent business definitions. - Partner with analytics and BI teams to understand reporting needs and translate them into scalable, reusable curated datasets. - Lead schema design, join logic, and standardization efforts to improve trust, consistency, and cross-domain usability of data. - Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization. - Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible. - Establish governance standards for curated datasets, including documentation, lineage, naming conventions, and data quality monitoring. - Track adoption and usage of curated data products, incorporating stakeholder feedback to iteratively improve models and definitions. What You'll Bring: - Bachelor’s degree in Information Systems , Data Science, Computer Science, or a related field , preferred, or equivalent experience. - 5 + years of experience in data product, analytics infrastructure, or data modeling roles. - Stakeholder Management: 5+ years of experience partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products. - Analytics & Product Thinking: Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making. - Data Modeling: 3+ years of experience designing dimensional models, schemas, and semantic layers for analytics or reporting use cases. - ML Awareness (Foundational): General familiarity with how curated data may support future ML or advanced analytics use cases (e.g., feature readiness, aggregation strategies), without expectation of hands-on model development. - Technical Proficiency: Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets. - Documentation & Governance: Experience maintaining semantic definitions, data catalogs, and quality standards to ensure data is discoverable, explainable, and trustworthy. - Able to travel occasionally both domestically and internationally. #LI-REMOTE This role spans a wide breadth of experience at Rush Street Interactive, welcoming candidates with diverse experiences, backgrounds, and locations. The pay range reflects potential variations in experience, skills, and location. The pay range does not reflect total compensation, which includes base pay, benefits, and/or bonuses. For candidates outside the US (Canada, Europe, Latin America), we take a locally informed approach to compensation and will share specific ranges based on your country of residence. Location Eligibility (for nationwide roles): Open to candidates across the U.S. Location Eligibility (for other roles): Location requirements may vary and will be specified in the job posting. Benefits: - Discretionary annual company bonus (Eligibility Varies by Role) - 401(k) plan with 100% company match on the first 4% - Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance - Paid Time Off (Eligibility Varies by Role) - Employee Assistance Program (EAP) Pay Range $100,000 - $140,000 USD What Makes Us Great: - Comprehensive compensation - Work-life balance initiatives - Autonomy – we embrace personal freedom and responsibility - Creativity – we are open to new ideas of how we can be better - Growth – we want you to develop personally as well as professionally - Top-notch professionals who are passionate about what they do - People-oriented environment and supportive atmosphere As a rapidly growing company in an emerging industry, you’ll have a huge impact on our product and our company. We like proactive team members and strive to have a company of self-disciplined professionals who enjoy collaboration, having fun, and of course, achieving together what others believe to be improbable. We are dedicated to treating everyone with respect and to support your professional and personal growth. Rush Street Interactive is an equal opportunity employer and committed to a diverse and inclusive workplace. All qualified applicants will be considered for employment without regard to race, national origin, ancestry, sex, sexual orientation, sexual identity and expression, marital status, family status, lifestyle, age, culture, religion, military and veteran status, citizenship, or disability. Be at the forefront of this ground-breaking industry! Apply now! Rush Street Interactive uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions - final decisions are made exclusively by our recruiting and hiring teams.
Staff Machine Learning Engineer, Offline Infrastru...
The opportunity Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems. To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound. We are seeking a staff ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads. You will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform. What you'll be doing - Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation - Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc. - Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows - Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing - Optimize performance and resource utilization across distributed compute systems used for data processing and model training - Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration - Lead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient What we're looking for - Strong experience building large-scale ML pipelines - Experience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training - Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines - Deep experience designing and operating production-grade data pipelines - Strong programming skills in Python and experience working with large-scale distributed workloads - Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms) - Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems - Proven ability to lead technical direction and influence architectural decisions across teams without formal authority Additional information - Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy . Should you have any concerns about your privacy, please contact us at DPO@unity.com. SEN #LI-ED1 *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $209,700 - $283,800 USD
Senior Software Engineer, ML Runtime & Inference -...
Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity. With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive. The FC Generative AI team is researching and developing Machine Learning based game features that will enrich the experience of our players and transform the ways they interact with the FC game. In this role you will join our cross-functional team to research, develop and integrate Machine Learning models from ideation and requirement analysis to productizing their application in FC game features. Your responsibilities: - Research and evaluate Machine Learning models and techniques for application in fields that include but are not limited to: automatic speech recognition, natural language processing and procedural content generation. - Tailor the functionality of these models and inference frameworks to fit FC’s requirements and integrate them into the game’s systems. - Optimize on device C++ runtime inference systems to match target platform constraints and meet performance KPIs. - Share knowledge on your work by directly engaging with other members of the game team to develop and ship features. - Evangelize the craft through presentations and interactive demonstrations, promoting Machine Learning best practices and applications within the team. - Stay abreast of the latest advancements in the Machine Learning field, consult with internal subject matter experts and collaborate with external AI technology vendors, in order to identify and prototype ML application opportunities within FC. Required qualifications: - BS in Computer Science, Mathematics or related field, or equivalent professional experience. - Strong computer programming fundamentals, proficiency in C++ and Python. - Applied experience with optimising Machine Learning inference systems across memory, compute, latency or other real-time constraints. - Proven record of building, deploying and maintaining Machine Learning applications in productized software. Preferred qualifications: - PhD or Masters degree in Computer Science, Mathematics or related fields. - Experience with ML frameworks like PyTorch or TensorFlow. - Experience in optimizing ML models for memory and compute constrained real-time environments. - Experience working with real-time rendering engines and IHV GPU / NPU specific parallel computing platforms. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Sr. Machine Learning Engineer
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: - Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc. - Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models - Collaborate with team members on drafting publications and patent submissions - Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: - PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post - 5+ years of experience in demonstrable research experience in industry or academia. - Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer), - Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar - Solid background in one or more of the following: (i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design; (ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar Desired qualifications: - Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar - Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing - Experience in image processing theory and methods, evidenced by the development of practical designs in this area - Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc. Benefits: - Discretionary bonus opportunity - Hybrid Working (within Flexmodes) - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Manager, Machine Learning
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Lead or Senior Lead: Machine Learning to join the Visual Computing Group (VCG). This role contributes to redefining game play and live streaming through advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. Who Are You? - You have a demonstrated ability in managing high performance research teams in the field of ML or Graphics - You are a dynamic and visionary leader with a passion for building and leading high-performance teams. - Your leadership style is grounded in clear communication, inspiration, and empathy. - You possess the ability to motivate and empower your team, fostering an environment where creativity and collaboration thrive. - A strong advocate for personal and professional growth, you ensure that every team member feels valued and heard. - Your approach to leadership is proactive, adaptable, and driven by a deep commitment to the success of both your team and the organization. - Experience in coaching and mentoring team members, fostering an inclusive and collaborative work environment. - You have the courage to speak up and take smart risks - You have strong and well-formed technical ideas that are weakly held; you can discuss, listen and participate in a passionate debate. - You are experienced in managing team communications in a large organization What Do You Do? - As a Manager / Senior Manager within the Visual Computing Group, you will lead a multidisciplinary team of machine learning engineers and researchers focused on neural-assisted game rendering. - You will be responsible for coordinating the build, prototyping, development and integration of brand new visual computing technologies into our products. - Your role also involves managing project timelines, ensuring high-quality work, and collaborating with multi-functional teams to drive innovation. - You will also play a key role in aligning the team’s work with the overall strategic objectives of the company, balancing the demands of ongoing projects with the need for continuous improvement and technical debt management. - You will meet with collaborators to build partnerships and establish positive and trustworthy relationships. What Knowledge Do You Have? Domain Expertise: - Extensive technical experience and track record of accomplishments within various areas including intelligent systems, visual computing, real-time graphics processing within game engines, or graphics. - Proven track record in managing and delivering sophisticated projects within these areas. Technical Skills: - Proficiency in programming languages and tools relevant to visual computing (e.g., C++, Python, OpenGL, DirectX). - Familiarity with machine learning frameworks and their application in visual computing - Knowledge in computer vision and machine learning: advanced neural network architectures applied to image analysis and video processing (diffusion models, transformers, distribution alignment, advanced loss functions for computer vision problems) - Knowledge in game engine rendering: knowledge of the stages of the game rendering pipeline, examples in UE5 or similar, knowledge of ray tracing or path tracing, advanced machine learning methods for global illumination, path tracing, frame interpolation and super-resolution in game rendering Educational Background: - A degree in Computer Science, Engineering, or a related field, or equivalent experience; advanced degrees are a plus. Industry Knowledge: - Up-to-date with the latest trends and technologies in one or more of: machine learning, computer vision, game engine rendering. - Experience in the interactive entertainment industry or a related field is highly desirable. Benefits: - Discretionary bonus opportunity - Hybrid Working (within Flexmodes) - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Sr. Manager, Machine Learning Engineering - Game T...
Engineering managers at Riot are technical leaders first — they stay close to the craft, make grounded architectural decisions, and earn credibility through the quality of their technical judgment. They are also deeply invested in people: building diverse teams, growing individual careers, and creating environments where engineers do the best work of their lives. The best Riot engineering managers hold both of these responsibilities without trading one for the other. AI Foundations (AIF) designs and operates Riot's production execution layer for models, agents, and AI-native workflows. The organization has three teams: ML Platform (model hosting, inference, lifecycle tooling), ML Bots (game-agent runtime and training), and Production AI (AI developer workflows, tooling, and vendor management), plus a small leadership staff. Together, these teams serve every game studio and central team at Riot that wants to use AI. As the Senior Manager, ML Engineering for AI Foundations, you will lead the group's engineering managers and a set of senior ICs, owning the organization's mid-term (~1 year) technical and capability roadmap. You will be accountable for coherent engineering practice across the three sub-teams, for the group's combined delivery against strategic commitments, and for building the kind of engineering culture that attracts and retains strong ML talent. This is a servant-leadership role on a team full of servant leaders. You succeed when frontline managers have the context they need to lead, senior ICs have room to focus, and teams across Riot can adopt AI with confidence. You will partner with peer leaders in game studios and central teams to understand their AI adoption challenges and feed those patterns back into the platforms and tools your teams build. You will report to the Director of AI Foundations. Responsibilities - Own the group's mid-term (~1 year) capability roadmap and 1+ year technical strategy; balance investment across custom platforms and tool adoption based on where Riot gets the most value. - Track adoption and impact metrics; re-prioritize based on usage data and partner feedback. - Ensure coherent technical direction across sub-teams; connect local tech strategy to Riot's broader AI direction. Contribute to architecture discussions, code when it helps, and support design cross-team decisions. - Set a high bar for craft, operational rigor, and continuous learning; codify and share best practices for production ML (serving, MLOps, observability, responsible AI) so lessons from one team benefit all. - Establish shared operational practices including cross-team on-call; maintain high ML system and model quality; ensure adherence to Responsible AI standards including fairness, explainability, and safety. - Manage MLE team leads and senior ICs; coach managers to maintain a high performance bar and build growth plans. - Develop ML engineering leaders; mentor ICs into management or senior technical roles; drive promotions at the Staff and Principal levels. - Align staffing against AIF priorities, development goals, and career paths; own headcount requests (FTE and contractor). Partner with the talent team; set staffing priorities for technical roles in AIF; work with hiring managers around Riot to improve hiring practices for AI-related roles. - Work with AIF leadership to establish operational and tooling budgets, including training, travel, and conference investment. - Build alignment with game studios, central tech teams, and vendor partners; identify and de-risk dependencies. Manage AI vendor relationships (evaluation, integration, ongoing partnership) in coordination with AIF leadership. - Make the transition from Tech Research to production repeatable, with clear handoff practices so promising research reaches players and Rioters. - Advocate for AI-native workflows within AIF and across Riot; ensure stakeholders know what AIF is building, why, and how to engage. Make grounded build-vs.-adopt recommendations. - Encourage teams to share what they learn — write-ups, demos, reusable components — so others across Riot can adopt AI more easily. Qualifications - BS in Computer Science, Machine Learning, or related field (or equivalent experience); 10+ years of industry experience including experience as a Senior ML Engineer or higher. - 4+ years of management experience, including managing managers or team leads. Track record of building engineering culture by enabling the people around you. - Evidence of shipping production ML systems that other teams depend on, with real operational weight. Working knowledge of model serving, CI/CD for ML, observability, and cost tradeoffs even if you're not writing code daily. - Experience translating technical vision into a roadmap your teams executed against, with evidence of course-correcting when priorities shifted. - Strong collaboration across ML, platform, product, and game development teams; track record of alignment across org boundaries. Experience making AI accessible to teams without deep ML expertise For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Senior Software Engineer - Responsible AI (CoreAI)
Design and develop large-scale distributed cloud services and solutions with a focus on high availability, scalability, robustness, and observability. Lead project development across the organization and work with subject matter experts and stakeholders to drive development and release plans. Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team's DevOps culture. Drive and uphold the best practices of modern software engineering through code and design reviews and take effective service decisions based on data and telemetry. Embrace a growth mindset and stay up to date with the current and state-of-the-art technologies to improve customer experience and better serve the product's business needs. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include, but are not limited to the following specialized security screenings: 4+ years of technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems. 2+ years of technical engineering experience with machine learning model development, release, and operations. Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture. Experience using appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Experience in any one or more of the following areas: Safety and governance platforms for AI models and agents Inference, routing, orchestration, and policy enforcement systems Evaluation, red teaming, and monitoring infrastructure for AI systems Deployment automation, CI/CD, and compliance tooling (e.g., zero‑manual‑effort deployments) Multimodal safety infrastructure (image, video, audio, provenance) Agent governance and control‑plane capabilities
Staff Machine Learning Engineer, Offline Infrastru...
The opportunity Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems. To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound. We are seeking a staff ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads. You will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform. What you'll be doing - Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation - Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc. - Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows - Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing - Optimize performance and resource utilization across distributed compute systems used for data processing and model training - Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration - Lead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient What we're looking for - Strong experience building large-scale ML pipelines - Experience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training - Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines - Deep experience designing and operating production-grade data pipelines - Strong programming skills in Python and experience working with large-scale distributed workloads - Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms) - Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems - Proven ability to lead technical direction and influence architectural decisions across teams without formal authority Additional information - Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy . Should you have any concerns about your privacy, please contact us at DPO@unity.com. SEN #LI-ED1 *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $209,700 - $283,800 USD
Machine Learning Research Scientist (Audio)
About Us: Sony AI's Music Technology Team is at the forefront of ML-driven music and audio research. We ideate, research, and develop cutting-edge machine learning technologies for audio and music, contributing to scientific publications and Sony Group initiatives worldwide. We collaborate across EU, JP, and US teams in an English-speaking, internationally diverse environment. Learn more about Sony AI here: www.linkedin.com/company/sonyai/life, https://ai.sony The Opportunity: We are hiring two Research Scientists to push the boundaries of machine learning for audio and music. Within this role, you will: Investigate and develop novel algorithms combining signal processing and ML. Work in areas such as: Music generative modelling (e.g., diffusion models). Music retrieval and matching (supervised/self-supervised). Lead small research projects end-to-end. Access world-class resources and top-tier internal talent. Collaborate with Sony Research teams and Business Groups globally. Required Qualifications and Skills: Recent PhD in a relevant field (less than two years since graduation). Publications in top ML conferences (NeurIPS, ICLR, ICML, etc.). Strong coding skills (Python, Pytorch, Slurm, Linux). Experience with large-scale data (preparation, cleaning, pre-processing, training). Excellent scientific writing and presentation skills. Innovative, out-of-the-box thinking. Preferred Qualifications Publications in top audio conferences (ICASSP, ISMIR, InterSpeech, etc.). Genuine passion for music and audio beyond ML applications. Comfort with iterative (and from-scratch) reimplementation and experimentation. Critical mindset toward established evaluation protocols. Life at Sony Research: Our work environment is diverse and motivated with an innovative open mindset. Sony AI is committed to building a diverse team of people with different characters, stories and skillsets because we know this drives innovation and creativity. Our commitment to nurturing a friendly and supportive place of work where everyone has a sense of belonging and inclusion creates an atmosphere of learning and personal growth. We focus on achieving healthy work-life balance for our teams, supported by hybrid and flexible working. You will work on exciting projects at the cutting edge of AI that are in the realms of entertainment or for the betterment of society, and you will have access to the most innovative technologies from across the Sony universe and the opportunity to partner with Sony’s leading companies. When projects are finished, we publish our work, and all our contributors are recognised on research pieces, at top-tier conferences, and in journals. You will also have access to workshops and development programs to expand your knowledge and skills. We want you to drive your career, find your direction and take authorship of your personal story at Sony AI, while enjoying the security and the resource-rich environment that comes with being part of a global corporation that has R&D in its DNA. Bring your uniqueness to Sony: We are passionate about creating a culture that promotes equity and cultivates inclusion, diversity, and belonging. We want employees with diverse backgrounds and perspectives that will stimulate innovation and have a direct impact on our creation of social value to fulfil Sony’s purpose – ‘to fill the world with emotion, through the power of creativity and technology’. We want you to bring your unique self to work and help shape our culture. Equal Opportunity: Sony Europe is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, gender, citizenship, ancestry, age, physical or mental disability, sexual orientation, gender identity, medical condition, or any other protected characteristics. Disability Accommodation for Applicants to Sony Europe Sony Europe will provide reasonable accommodation for any qualified individuals with disabilities in the application process. For reasonable accommodation requests, please contact us by email at AccommodationRequest@eu.sony.com or by mail to: Sony Europe Limited, Human Resources Department, the Heights, Brooklands, Surrey, KT13 0XW, UK. When contacting us please indicate the position you are applying for, and the accommodation required. Recruitment Fraud Notice Please be aware that unauthorised individuals or organisations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. While we take these matters seriously, we cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Sony Europe Career Portal. Please also be advised that we never request payment or personal financial information. #LI-CM1 Purpose Fill the world with emotion, through the power of creativity and technology. Values Dreams & Curiosity Pioneer the future with dreams and curiosity. Diversity Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity Earn the trust for the Sony brand through ethical and responsible conduct. Sustainability Fulfill our stakeholder responsibilities through disciplined business practices.
[2026] Data Scientist, Foundation AI - PhD Early C...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY GENERATIVE AI? Our team’s mission is to enable Roblox Creators to bring GenAI capabilities to millions of users. We drive this innovation with a core commitment to safety, responsibility, and quality. As a Data Scientist, you will play a critical role in evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D). You will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements. You Will: - Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods. - Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features. You will identify opportunities, measure lift, and ensure statistical rigor. - Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators for GenAI feature user satisfaction, business success, and safety. - Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling that lift rigor and efficiency across the company. - Conduct Applied Research at the Frontier: Maintain an active pulse on the intersection of Gen AI and Data Science. You will innovate on methodology and techniques to solve unique business challenges while contributing to the broader field in the technical community. You Have: - Possess or pursuing a PhD or equivalent in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field. - Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling. - Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact. - Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact. - Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field. - GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation). - Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $185,860 - $221,380 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior AI Designer
Reporting to Lead Gameplay Designer Job Title Senior AI Designer Department Game Design/Scripting Location Brighton Who We Are Hangar 13 is an internal 2K development studio that creates influential AAA video game experiences across all major platforms. The studio has three locations around the world: Brighton (UK), Brno & Prague (Czech Republic), working collaboratively as one team. Each of our locations provides the opportunity to work with some of the most talented developers in the industry, on creatively challenging and exciting projects, in a diverse and welcoming environment. Our focus is on making the highest quality games with sustainable, healthy development plans; to tell stories that engage players through worlds and experiences that keep them hooked from start to finish. We strive to be a studio where our team members know they can make a difference and grow professionally alongside creating games they are proud of. What We Need Hangar 13 is in search of an experienced and highly skilled AI Designer who has a passion for creating engaging AI Systems and Behaviours that provide great gameplay and help sell the fantasy of the game. You enjoy analyzing AI and Player behaviours and want to create novel gameplay experiences. What You’ll Be Doing: - Own the feature development, design, and implementation of complex AI behaviors and systems for both combat and non-combat NPCs, from prototype through shipping - Design and implement new character archetypes and their associated abilities and logic, ensuring they fit the game's vision and offer novel gameplay experiences - Drive cross-discipline collaboration within feature pods (Engineering, Animation, Gameplay) to implement, tune, and balance AI systems and player encounters - Ensure player clarity by designing behaviors that clearly communicate AI intention, enabling players to understand and plan their actions accordingly - Analyze, validate, and incorporate feedback from team members and external user testing to continuously refine the AI experience. - Develop and evangelize best practices for AI content creation and system utilization across the entire design team - Author and maintain high-quality design documentation for owned features and core AI systems. What We’re Looking For: - Passion for creating complex, balanced AI systems and linking those to desired player experiences - Keeps up to date with current industry trends, features and techniques related to the execution of engaging AIs - Experience with advanced AI systems (e.g., Behavior Trees, State Trees) in a live environment - Proven track record designing and shipping complex, engaging combat and non-combat NPC behaviors - Strong cross-disciplinary collaboration skills, with a history of driving consensus to achieve high-quality outcomes. - Experience working with Unreal Engine - Shipped one or more AAA game titles in an AI Design role or similar You Might Also Have: - A solid understanding of game design principles and how AI, tactical space, and player verbs combine to create unique moments - Creative problem-solving skills, able to consider both the details and the bigger picture - Ability to drive prioritization and scheduling of work for owned feature(s) - Can independently understand and solve technical challenges related your features Hangar 13 prides itself on the diversity of its team members, partners, and communities. For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination. As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need to request reasonable accommodation. SECURITY NOTICE - We have recently been made aware of increasing occurrences of bad actors posing as company HR personnel to gain information from "potential candidates", in the form of job interviews and offers. These scams can be quite sophisticated and appear legitimate. Please know that Hangar 13 and 2K never use instant messaging apps to contact prospective employees or to conduct interviews. If you believe you have been a victim of such a scam, you may fill out a complaint form at https://complaint.ic3.gov/ and https://reportfraud.ftc.gov/ detailing as much as possible. We are taking these matters very seriously and apologize for any inconvenience.
Senior Software Engineer - Azure Translator & Lang...
Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Uses SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to improve processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities. Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Continuously improves code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Applies metrics to drive code quality and stability. Applies appropriate coding patterns and best practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Identifies and escalates blockers or unknowns during the development process, communicates how they will impact timelines, and identifies strategies and/or opportunities to address them. Leads discussions for and owns the architecture of a products/solutions and creates proposals for architecture by testing design hypotheses and develop complex design specifications. Tests and explores various design options for a complex product/solution scenario, outlining strengths and weaknesses of each option. Independently collaborates with architects to build and modify complex products/solutions, providing feedback as needed. Owns or collaborates with other engineers on the architecture of solutions, with minimal technical oversight. Develops design documents that support user stories and other product requirements. Maintains awareness of the current technology landscape, and determines how to integrate these technologies within existing systems. Shares learnings and identified solutions from investigations with the team and owns for some design decisions. Ensures system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), disaster recovery, and other requirements and expectations. Understands and coaches less experienced engineers on the importance of building solutions that expand upon the work of others. Drives the refinement of products through data analytics, and makes informed decisions in engineering products through data integration. Reviews designs/architectures within and across teams to provide recommendations for improvements. Works with partner teams to ensure a project/sub-system of a product works well with the components of the partner team, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live. Acts as a designated responsible individual (DRI) and guides other engineers by developing and following the playbook, working on-call to monitor a system/product/service for degradation, downtime, or interruptions. Alerts stakeholders as to status and initiates actions to restore system/product/service for simple problems and complex problems when appropriate. Responds within service level agreement (SLA) timeframe. Drives efforts to reduce incident volume, looking globally at incidences and providing broad resolutions. Escalates issues to appropriate owners. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. A technical background and solid foundation in software engineering principles and architecture design An intellectual curiosity and passion about learning new technologies Previous cross-team collaboration skills and the desire to collaborate in a team of researchers and developers 3+ years of experience in cloud security and Azure 3+ years of experience with Azure DevOps or github 1+ years of experience with CI/CD systems
Full Stack Engineer, GenAI
Job Title: Full Stack Engineer, GenAI Requisition ID: R027084 Job Description: Your Mission Our team is expanding to build practical, production-ready generative AI systems that support the creation of interactive entertainment. We are looking for a Full Stack Engineer to help transform emerging AI capabilities into scalable tools, services, and workflows that empower game studios and creative teams. This role reports directly to the Senior Director of AI Strategy and works closely with AI researchers, engineers, product teams, and game studios across the organization. As a hands-on builder, you will help bring new AI-driven capabilities into production, building systems that support developers, artists, designers, and operational teams across the game development ecosystem. You will contribute to high-impact projects that combine generative AI, traditional machine learning, and modern software engineering to power next-generation tools, content workflows, and studio platforms This is an onsite/hybrid position in Santa Monica, CA, Sherman Oaks, or Vancouver, BC. What you bring to the table Priorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities: - Design, build, and maintain full stack applications that integrate generative AI and machine learning capabilities into studio tools, developer platforms, and production workflows. - Develop scalable backend services, APIs, and data pipelines that power AI- driven systems used across game development and studio operations. - Build intuitive, responsive interfaces that allow developers, artists, and creative teams to interact effectively with AI-powered tools. - Rapidly prototype and experiment with new AI-driven capabilities, validating ideas and evolving successful prototypes into reliable production systems. - Apply a range of AI and machine learning techniques, selecting the right approaches for real-world production environments and creative workflows. - Implement and integrate AI systems using modern orchestration approaches and emerging standards such as Model Context Protocol to support modular, extensible AI workflows. - Partner cross-functionally with research, platform, product, security, and studio engineering teams to translate emerging capabilities into practical tools and services. - Own systems end to end, including architecture, implementation, deployment, monitoring, and continuous improvement. - Contribute to shared platforms, tooling, and engineering practices that accelerate AI adoption across studios and development teams. - Help ensure AI systems are reliable, performant, secure, and responsibly deployed in production environments Player Profile Minimum Requirements: Experience - Strong proficiency with Python and JavaScript or TypeScript, with 5+ years of experience building backend services and modern frontend applications. - Experience designing and shipping full stack software in production environments, with a focus on reliability, performance, and maintainability. - Experience integrating AI into real-world applications, including model inference, orchestration approaches such as tool calling, retrieval augmented systems, or protocols like Model Context Protocol. - Experience working with cloud infrastructure such as Azure, Google Cloud Platform, or similar environments, including deploying and operating services at scale Knowledge & Skills - Working knowledge of machine learning fundamentals and applied AI techniques, including familiarity with deep learning approaches such as convolutional neural networks and generative models. - Comfort working with containerization and modern infrastructure practices such as Docker, Kubernetes, and cloud managed services. Key Attributes - Ability to operate in fast moving, ambiguous environments, balancing experimentation with delivery and iteration. - Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical partners. Extra Points: Experience - Experience working in the game industry or adjacent digital entertainment fields such as streaming, media platforms, or interactive content. - Experience with computer vision, multimodal systems, or 3D representations. - Experience building internal platforms, developer tools, or systems used by large engineering or creative teams - Familiarity with C or C++. Knowledge & Skills - Familiarity with game development pipelines, studio tooling, or creative production workflows. - Exposure to MLOps practices, monitoring, or operating machine learning systems in production. - Familiarity with C or C++. Your Platform Activision Central Tech works to support our development studios and their titles. Comprised of seven main teams, we have many specialties including big data, privacy and security, motion capture and animation pipeline technologies, graphics, build and infrastructure for studio development and data centers, optimization, systems programming and online services including matchmaking and networking. Central Tech is distributed globally with offices across the U.S., and in Canada, England, Ireland and Japan. Most of our teams are comprised of both engineering and research talent, allowing us to always have an eye on the future. Our talented engineers help with title development and provide valuable knowledge sharing between studios while our researchers are action-oriented and keep a strong connection with the needs of the game studios. Central Tech is part of Activision. To learn more about us and our research, please visit us at https://research.activision.com/ . Our World At Activision, we strive to create the most iconic brands in gaming and entertainment. We’re driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our “press start” is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences. We’re not just looking back at our decades-long legacy; we’re forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization. We’re in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater — this could be your opportunity to level up. Ready to Activate Your Future? We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: - Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; - 401(k) with Company match, tuition reimbursement, charitable donation matching; - Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; - Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; - If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/ . In the U.S., the standard base pay range for this role is $77,500.00 - $143,376.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.
Machine Learning Engineer - H/F/NB
Ubisoft est une référence mondiale du jeu vidéo, avec des équipes réparties aux quatre coins du monde qui créent des expériences de jeu originales et mémorables, de Assassin’s Creed à Rainbow Six en passant par Just Dance et bien d’autres encore. Nous croyons que la diversité des points de vue fait progresser à la fois les joueurs et les équipes. Si vous êtes passionné·e par l’innovation et que vous souhaitez repousser les limites du divertissement, rejoignez notre aventure et aidez-nous à créer l’inconnu ! Studio pionnier d’Ubisoft, le studio de Paris est à l’origine des premiers succès de l’éditeur suite à sa création en 1992. Il est aujourd’hui à la tête de licences incontournables comme Just Dance, Ghost Recon ou Mario + The Lapins Crétins. Ubisoft Paris s’est également construit une solide réputation comme partenaire de choix dans les collaborations inter-studios comme Watch Dogs, Skull & Bones, Beyond Good & Evil 2 ou encore Star Wars. Fort de cette expérience, le studio continue d’aller plus loin en termes de créativité en travaillant sur des projets très prometteurs encore non-annoncés. Regroupant 750 talents de 35 nationalités, Ubisoft Paris est aujourd’hui le plus grand studio de France et l’un des plus expérimentés de l’industrie. Les jeunes talents peuvent bénéficier de la présence importante de profils seniors, dans les métiers créatifs, techniques ou artistiques. Chacun·e reste animé·e par la même passion : repousser les limites du possible et proposer de nouvelles expériences à nos joueurs et joueuses. Prêt·es à rallier l’aventure ? Rejoignez-nous au Studio de Paris ! En nous rejoignant sur ce poste, vous intégrerez une équipe multidisciplinaire (data, programmation, game & narrative design, animation, etc.), guidée par une question simple et ambitieuse : parmi toutes les possibilités offertes par l’IA générative, lesquelles sont réellement intéressantes et fun pour le gameplay ? L’équipe a pour mission de tester de nouvelles expériences auprès de joueurs et joueuses, et d’équiper les créateur·rices pour imaginer des interactions plus dynamiques, immersives et surprenantes — jusqu’à faire émerger des features impossibles à réaliser autrement. Son quotidien s’inscrit à la croisée de la R&D, du développement produit, de la création de jeux courts et de la collaboration multi-studios, au service des gameplays de demain. Au sein de l’équipe responsable de l’analyse des données et des projets data science, détachée dans une production de jeu vidéo, vous apportez vos connaissances en Machine Learning et en analyse de données en général aux équipes de développement afin d’exploiter le potentiel de l’Intelligence Artificielle au sein du design de nos jeux. Vos missions seront les suivantes : - Contribuer à la faisabilité technique des systèmes gameplay basés sur l’IA. - Identifier des algorithmes pertinents (génératifs, information retrieval, classification…) et les adapter pour un usage production (fine-tuning, optimisation, intégration). - Mettre en place les processus d’évaluation pertinents - Déployer ces algorithmes sur des cloud internes ou externes de manière robuste et scalable, en suivant les meilleurs pratiques en terme de développement et de MLOps, en collaboration avec les ingénieurs du projets - Implémenter des techniques à partir de papiers de recherche dans une démarche d'innovation/R&D - Vous disposez d’une première expérience significative en tant que Machine Learning Engineer et avez mis en production différents algorithmes de Generative AI, - Vous avez une connaissance poussée des algorithmes de NLP (comme SentenceBERT, Llama 2, Mistral ou Qwen 3) et vous savez les fine-tuner, - Vous avez une bonne maitrise de Python et de Tensorflow ou PyTorch, - Vous avez une première expérience avec Docker, - Le jeu vidéo est une passion pour vous, - Votre très bonne capacité d’écoute et de compréhension vous permet de traduire facilement les besoins des clients en spécifications, - Vous êtes en mesure d’adapter vos analyses et votre discours pour atteindre un large public, - Vous faites preuve d’autonomie et de curiosité. - Enfin, votre aisance en anglais vous permet d’échanger à l’écrit comme à l’oral avec des interlocuteurs variés. Ce sont des + : - Vous avez une bonne maitrise du C++, C# ou Rust - Vous savez comment utiliser des LLM (du prompt engineering aux approches plus complexes comme Tree of Thoughts) - Vous savez comment optimiser la taille et le temps d’inférence des modèles (ex : quantization, LoRA…) Vous avez une affinité avec les jeux de rôle, les jeux narratifs... Nous rejoindre c’est avoir accès dès le premier jour à : - Notre plateforme interne de e-learning pour enfin vous former sur les outils dont vous aviez tant besoin ; - Notre ludothèque où vous pourrez emprunter les derniers jeux Ubisoft, ceux de la concurrence, consoles et jeux de sociétés ; - Notre CSE et ses tarifs préférentiels sur une large gamme de spectacles, salles de cinéma, concerts, salles de sport, parcs d’attractions, et pleins d’autres bons plans. Et après 1 an ? - Vous avez un plan de carrière et d’évolution établis avec votre manager ainsi que des objectifs clairs qui vous permettront de progresser chaque année ; - Vous avez rejoint un de nos clubs : chorale, yoga, tennis, sabre laser… Ou vous avez créé le vôtre ! - Vous profitez de votre pause déjeuner d’1h30 pour participer à un cours dans notre salle de sport ou emprunter un de nos vélos pour vous balader dans le bois de Vincennes ; - Vous attendez avec impatience le prochain week-end surf/yoga ou ski organisé par le CSE ; - Vous êtes devenu·e imbattable au babyfoot, à l’escalade, Just Dance ou à Boomerang Fu ; - Vous avez dévalisé la braderie interne pour compléter votre collection de goodies et jeux Ubi (parce qu’on n’en a jamais assez). En tant qu’employeur, Ubisoft offre à tous les mêmes opportunités d’accès à l’emploi, sans distinction notamment de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d’âge. Ubisoft veille à développer un environnement de travail inclusif qui reflète la diversité de sa communauté de joueurs dans ses équipes. Consultez ce guide qui a pour but de vous accompagner dans votre candidature, et découvrez nos actions pour encourager plus de diversité et d'inclusion.
AI Solutions Architect (IT)
Who we are At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make. We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you. About the Role We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient. You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale. This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business. What You'll Achieve - Define and implement scalable, secure, AI-driven IT architectures aligned with business needs. - Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management. - Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews. - Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management. - Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution. - Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency. - Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards. - Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making. - Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem. What You’ll Need to Be Successful - Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs. - Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them. - Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows. - Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure). - Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of GDPR, NIST, and SOC 2. - Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. - Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions. - Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking. Why join us There are many reasons to join us, but here are a few: - We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community - We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth. - Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
Senior Software Engineer
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Senior Software Engineer Interested in Artificial Intelligence, Computer Vision, Deep Learning and other modern technologies? Then the Automated Content team within Sportradar is the right fit for you. We are enhancing the sports experience for fans, athletes, and teams across the globe through world-class AI solutions and are committed to advancing the state of the art of Sport through continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science and beyond. We are on a mission to automate sports content creation - the data and video – that feeds products and services we deliver to our partners. The possibilities to revolutionize the world of sport are vast, and we are only at the beginning of our journey. Our cutting-edge technologies will revolutionize the way individuals interact with and participate in sports. Our objective is to create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting. By doing so, we are enhancing the lives of coaches, athletes, and fans by developing products that cater to their evolving needs and requirements, as well as enabling an experience where people can engage with sport in new and meaningful ways. We seek a talented Senior Software Engineer to join the eSports team in Vienna: a diverse, highly skilled, and enthusiastic team, part of the broader Automated Content Unit. About the role As a Senior Software Engineer, you will play a key role in designing, developing, and maintaining software solutions that empower the Computer Vision Teams (also part of the Automated Content Unit) to more easily and reliably train, evaluate and deploy complex computer vision and AI systems in production. You will develop software solutions for these systems, including databases, APIs, tools, and services. You will use your software engineering expertise to propose and implement software solutions, based on requirements, that will help the team deliver quickly and efficiently. Responsibilities - Design, build, test, deploy and maintain libraries, components and backend services for our computer vision applications, including data processing pipelines, machine learning model training infrastructure, and API endpoints - Participate in analyzing business requirements and designing new functionalities, breaking down complex and abstract requirements into smaller concrete components that will help the team deliver quickly and efficiently - Research new technologies and methodologies to address technical issues - Contribute to the continuous improvement of existing software solutions The challenge - Design, build, test, deploy and maintain services hosted in the cloud, that are part of a larger system - Improve the reliability and efficiency of our stack - Help reducing the time-to-market of our computer vision solutions - Write clean, scalable, documented, and understandable code - Participate in code review processes - Build reusable code libraries - Design, implement, and extend APIs Your skills - Proficiency in Python. Experience with other languages will be considered a plus - Strong experience in managing larger projects from their conception to their maturity - Expertise in CI/CD pipelines for software release lifecycle - Experience with frameworks for web APIs (Flask, FastAPI, ...), API specifications (OpenAPI, gRPC) - Familiarity of Cloud Service Providers (especially AWS) - Solid knowledge of containerization technologies and processes - Experience with databases (relational and non-relational) - Knowledge of lifecycle of ML/DL applications - Excellent communication skills - Ability to work independently and as part of a team - Strong organizational and problem-solving skills The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience. At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!
Staff Software Engineer, AI Authoring
The opportunity At Unity, we're shaping the future of real-time 3D technology by building AI to transform how games are created and experienced. From intelligent authoring tools to new ways of interacting with content, we're engineering the next generation of pipelines that make 3D game development faster, more immersive, and more efficient. We're seeking a versatile, self-driven Staff Software Engineer to raise the bar on reliability, scalability, performance, and maintainability of our AI authoring products. You'll drive operational excellence via DevOps best practices, including CI/CD automation, Kubernetes management, infrastructure-as-code, agentic troubleshooting, and robust disaster recovery strategies. You'll establish cross-team standards for infrastructure and deployments, build a trustworthy A/B testing framework, manage software releases with client-server compatibility in mind, and drive observability across system health and business metrics. The systems you build will span high-level architecture down to hands-on implementation, powering asset generation, LLM inference, and the ML-driven tools that bring AI-assisted game creation to life. What you'll be doing - Partner closely with product, design, and other engineering teams to influence the product roadmap. - Contribute to technical strategy and architectural decisions for Unity AI and backend platforms, balancing short-term delivery with long-term product health. - Design and implement sustainable, scalable solutions for Unity AI products, pushing the boundaries of the Unity Editor with cutting-edge AI agent technologies. - Improve the reliability, performance, observability, security, and cost-efficiency of our backend systems, and support investigations into issues like performance regressions and network latency through strong observability and monitoring. - Run technical spikes with developers to address application infrastructure needs on Microsoft Azure and Google Cloud. - Build and mature the infrastructure and processes for promoting application code from development to production, writing high-quality, maintainable infrastructure-as-code and Helm deployments, and defining best practices for Terraform Cloud, Helm, and Kubernetes. What we're looking for - Experience building and shipping complex, user-facing software products at scale - Experience delivering and supporting cloud backend services using Terraform, Kubernetes, Helm, and CI/CD pipelines (e.g., Argo, GitHub Actions) - Hands-on experience with Microsoft Azure or Google Cloud Platform - Proven track record in observability, including monitoring, logging, alerting, and debugging tools such as Grafana to ensure system reliability and performance - Strong grasp of software delivery best practices and network security, paired with a quality-first mindset - Ability to translate business and user needs into technical solutions - Strong communication and interpersonal skills, with a proven ability to align stakeholders across disciplines and organizations You might also have - Exposure to ML infrastructure or LLM inference deployment - Backend service development experience, including API design - Familiarity with networking, caching, real-time data pipelines, and relational databases such as PostgreSQL - Familiarity with languages such as C#/.NET, Python, or Go - Familiarity with Unity or similar 3D engines Additional information - Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy . Should you have any concerns about your privacy, please contact us at DPO@unity.com. SEN #LI-AR1 *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $192,600 - $305,600 USD
Senior Commercial Data Scientist
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it. What You’ll Do - Be the Decision Engine : Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon. - Shape Strategy with Data : Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions. - Automate Intelligence : Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions. - Partner Across the Business : Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions. - Tackle Ambiguity : Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems. What We’re Looking For - Technical Mastery : SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau). - Data Storytelling : You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making. - Commercial & Product Acumen : You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior. - Bias for Impact : You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. - Proven Track Record : Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth. - Education : Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience. - Years of Experience : We are hiring for roles with at least 2+ years of relevant experience. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Senior Data Scientist [m/f/d]
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. ABOUT US Ad:s is a datadriven marketing and sponsorship solution designed to help deliver significant efficiency improvements across marketing investments. The team develops and provides fully customisable, purposebuilt proprietary tools and services tailored to the marketing needs of sportsbooks and publishers. Through a broad sales network, strong relationships, and extensive global infrastructure, the team also enables sponsorship opportunities for bookmakers. THE CHALLENGE We are looking for a highly skilled Senior Data Scientist (m/f/d) with excellent communication skills who will work alongside a team of talented analysts and engineers, using modern technologies and methods to further develop and expand our Audience capabilities and reporting suite. You will support stakeholders as a strategic compass - helping them navigate audience growth, segmentation, activation, and performance through actionable insights. You will join a growing team shaping Sportradar’s digital advertising platform, with a strong focus on Audience strategy and expansion. Operating within a selforganized and agile analytics team, you will play an active role in building and scaling data products that power clientfacing advertising services, working with cuttingedge technologies and highly motivated colleagues. Key Responsibilities - Interpret audience and campaign data to guide strategic decisions and deliver clear, compelling insights for advertisers and stakeholders. - Design, build, and maintain scalable audience data models supporting segmentation, activation, and measurement use cases. - Participate in the development of datadriven, intelligent, and scalable systems with a focus on quality, observability, and security. - Evaluate and monitor existing data sources and audiencerelated products, ensuring data integrity and reliability through regular QA checks. - Collaborate with sales, tech, product, and ML teams to design, implement, and refine advanced audience dashboards and activation frameworks. - Drive evaluation, evolution, and delivery of audiencefocused solutions, supporting ML and AI initiatives that create measurable value for clients. ABOUT YOU Required - Minimum 3+ years of experience in Analytics Engineering, Data Engineering, or a related field. - Excellent SQL and Python skills. - Experience with Infrastructure as Code (Terraform). - Strong proficiency in building ETL pipelines, ideally with PySpark. - Solid experience in logical and physical data modelling for audience or behavioural datasets. - Proficiency with Git or similar versioncontrol tools. - Experience with cloudbased services, preferably AWS. - High attention to detail and strong commitment to data quality. - Strong communication skills and the ability to partner effectively with stakeholders. - Fluent in English. Preferred - Experience with datavisualisation tools and building stakeholderfacing dashboards. - Experience in AdTech and audienceactivation ecosystems. - Experience with ML technologies and production ML pipelines. - Knowledge of testing strategies such as TDD. - Experience with identity graphs, segmentation frameworks, or CDPs. - Experience creating and maintaining CI/CD workflows. OUR OFFER - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. - Flexibility to manage your workday and tasks with autonomy. - A balance of structure and autonomy to tackle your daily tasks. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation - both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. OUR RECRUITMENT PROCESS Initial Conversation A discussion with our Talent Acquisition Partner to learn more about your background, experience, and expectations. Technical Interview A conversation with members of the Data team focused on realworld problem solving, production considerations, and your past project work. TakeHome Case Study A practical business case reflecting typical challenges in this role, including analysis of a dataset and a short summary of your findings. Case Presentation & Collaboration Session You will present your solution, engage in a deeper discussion with the team, and participate in a collaborative paircoding exercise. Final Conversation A final discussion centred on team fit, collaboration style, and any remaining questions. An onsite visit may be included where relevant. The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience. At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!
AI Designer
Join Creative Assembly and craft deep and detailed games that last, entertaining millions of players across the globe for decades. The Role Creative Assembly is looking for a motivated and collaborative AI Designer to join the award-winning Total War team based at our studio in Horsham, West Sussex. We’re looking for someone who embraces guiding talented multidisciplinary teams to deliver engaging gameplay within our unique blend of turn-based campaigns and real-time battles. This is an in-studio position with flexibility on ad hoc working from home. As a Game AI Designer you will design, setup and balance the game AI’s features and behaviours, as well as the difficulty level on the game’s turn-based Campaign side. You will work closely with the AI Programmers, AI Designers and Game Designers, ensuring there is collaboration between these departments, whilst following the game’s vision set out by the Game Director. What you’ll be doing On a day-to-day base, you will: Design and implement game AI and other game features while collaborating with other departments to make sure we create the best possible gameplay experience for players Be a proactive and creative driver of game AI development to collaboratively solve problems whilst keeping in touch with relevant stakeholders Document your designs, demonstrate how they will create great gameplay and meaningful choices Evaluate and finetune AI behaviour using in-house tools Build up a holistic view of the game and balance its difficulty level What we are looking for Essential Experience in AI Design or Game Design Experience in game balancing A gamer to the core who is up-to-date with modern game trends Passionate about game AI and a keen interest in games development overall Ability to think from the player’s perspective Excellent communicator, with good written skills Enjoys complex problem solving while collaborating with others Desirable Experience in working on strategy titles Experience in data analysis Experience in scripting or programming Previous experience in modding Deep knowledge of PC turn-based strategy games ABOUT CREATIVE ASSEMBLY We care deeply about the experiences we create and put our players at the heart of our decisions. We are all game makers; no matter our role we are empowered to make significant contributions to our games, supported by skills development and growth opportunities. Most roles at Creative Assembly are hybrid; what this looks like will be discussed during the interview process. For many teams, this is 3 days a week in the studio. CA has the right to change requirements based on the needs of the business. We offer many benefits to support you and your family including: Work from Anywhere for a temporary period each year (restrictions apply such as VISAs) Enhanced holiday allowance, maternity and paternity breaks, flexibility with our core hours, and no-notice holidays Bespoke relocation package for you and your dependents Private medical and dental insurance, life insurance, permanent health insurance, critical illness cover and free health care screening Additional benefits ranging from free games and work parties to discount on technology Wellbeing support and virtual confidential counselling We are an equal opportunities employer and encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy or maternity, religion or belief. Our studio sites have disabled access. WORKING THE SEGA WAY We believe that making the best games relies on having the best people, so we make sure that we look after ours… For our gaming buffs, you can get involved in our lunchtime get gaming sessions in our games lounge and Club SEGA, regular gaming tournaments and free SEGA games on Steam. If you're more of a foodie, you can take advantage of fresh fruit and cereal every single day. Fitness fanatics will love our discounted gym membership, ride to work scheme, workout area and bootcamps in the business park. You can find your zen with weekly yoga classes as well as in-house massage therapy. You'll have access to a comprehensive benefits package that includes life assurance, income protection, private healthcare & dental insurance schemes and an enhanced contributory pension scheme. We offer competitive salaries and a fantastic bonus scheme so that you can stay motivated and focused on making SEGA the best it can be. We hold regular lunch & learn sessions, company updates at incredible venues in Central London and Christmas parties that you’ll want to brag to your mates about! What’s not to love? We pride ourselves on having flexible working hours to ensure that you have a life outside of the office. We want people of all backgrounds to see themselves represented and included in our work, so we actively seek to diversify our team and bring more voices to the table. All applicants are welcome! And that’s just the tip of the iceberg. Check out our Careers Website to find out why we are a workplace you’ll never want to leave!
Senior Machine Learning Engineer - EA Sports Advan...
Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games. Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on content creation experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles. We are seeking Machine Learning experts with a practical mindset, passionate about creating useful tools and innovative features, eager to see their work impact fellow developers and millions of gamers, who take responsibility for ideation through productization. Reporting to the Lead Development Director, the Machine Learning Engineer will join us in creating intuitive experiences powered by ML, pushing the boundaries of game fidelity and bringing our characters to life! Your Responsibilities: - Stay current with cutting-edge research in Machine Learning , continuously evaluating how new ideas can be applied to games. - Invent and build ML-driven solutions for complex problems in character animation, agent behavior, physics simulation, and content generation . - Design and implement production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed. - Create intuitive, easy-to-use workflows that reduce repetitive manual work while empowering creators to move faster and think bigger. - Give users meaningful creative control over model behavior, making experimentation, iteration, and debugging fast and approachable. - Optimize models and pipelines to minimize training and inference time without sacrificing quality. - Evaluate, extend, and improve both internal and external ML technologies , pushing them further for game-specific use cases. - Work closely with content creators and software engineers to ensure tools are maintainable, effective, and genuinely enjoyable to use . Your Qualifications: - A Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning , or equivalent practical experience. - Expert-level proficiency in Python , with deep hands-on experience writing clean, scalable, and high-performance code. - Strong command of advanced language features such as generators, decorators, and context managers . - A solid foundation in linear algebra, statistics, and mathematical optimization . - 1–2+ years of hands-on Machine Learning experience , with a strong, practical, problem-solving mindset. - The ability to take ideas from research paper to working system , balancing innovation with usability and performance. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
AI Engineer Intern (Game Development)
WHAT YOU WILL BE WORKING ON Main challenge You’ll help build a high-quality computer vision dataset at scale (~1,000 real-world objects) that powers reliable object recognition. The challenge is ensuring data consistency and quality across diverse real-world conditions like lighting changes, occlusion, motion blur, and reflections. What it means on a daily basis - Organize, clean, and structure large image/video datasets (naming, metadata, removing duplicates, filtering low-quality samples) - Annotate data accurately and follow labeling standards to ensure consistency at scale - Track dataset progress, coverage, and versioning (logs, changelogs, dataset updates) - Perform quality checks and continuously improve dataset reliability through structured QA - Work closely with AI engineers to refine data based on model performance and edge cases Who you would be working with - AI, Data, and programmer teams contributing to dataset quality and workflows - Cross-functional teams, depending on project needs WHAT YOU NEED TO SUCCEED - Basic understanding of computer vision tasks (classification, detection, segmentation) - Familiarity with handling large datasets (images/videos) and maintaining structured documentation - Attention to detail in data annotation and quality control - Basic Python knowledge (for simple scripts, validation, or formatting tasks) - Understanding of real-world data challenges (lighting, occlusion, motion blur, etc.) WHO YOU ARE - Highly detail-oriented and patient, with the ability to maintain accuracy in repetitive tasks - Organized and methodical in managing data and documentation - Proactive in identifying data issues and suggesting improvements - Comfortable working both independently and in a collaborative environment - Curious about AI, computer vision, and how models improve through data Your recruitment journey - (1) Screening call - (2) Test - (3) Interview - (4) Offer WHAT'S IN IT FOR YOU Benefits - Internship allowance from VND 6,000,000 gross/month (based on candidates' competencies and committed working days). - 1 day of paid annual leave per month, Christmas leave, Birthday leave, CSR leave, paid sick leave. - Various training packages, including internal training and e-learning platforms (iLearn, Udemy, O'Reilly,...). - Opportunities to collaborate and train with Gameloft worldwide experts and develop yourselves. - A range of well-being events and policies to support employees physically, mentally, and emotionally. - The opportunity to become an official employee of Gameloft. Life at Gameloft - A collaborative workplace environment, with over 15+ nationalities, where hundreds of world-renowned game titles were born. - An open-space office, a canteen, a billiard table, a ping-pong table, and a foosball table. - A gaming room equipped with mutiple devices (PS, Xbox, Nintendo Switch, arcade machine,...). - A capable and encouraging team of professionals focused on creating compelling video games. - A global company where you can meet great people around the world. - A fun place to work in the heart of the city. How to proceed Ready to level up your career? Apply now and help us create the next great game! Please note: To ensure a fair and compliant recruitment process under the General Data Protection Regulation (GDPR), please submit your application through the official job posting, preferably via Gameloft website, Gameloft or Gameloft Vietnam LinkedIn pages, or SmartRecruiters. Applications sent via email or LinkedIn messages will not be considered. Due to the high volume of applications, only candidates whose profiles most closely match the role needs will be contacted by our recruiters. We sincerely appreciate your understanding and interest. What's more? Want to know more? Visit our websites: - Saigon Studio website - LinkedIn page - Facebook page Check out some projects at Saigon Studio: - Dungeons & Dragons® - Asphalt 8 - Coin Rush Trailer - Asphalt Legends Unite - Launch Trailer - Gangstar Vegas - Applaydu Season 6 - Claynosaurz - Gameloft x Claynosaurz Partnership Announcement
AI Solutions Architect (IT)
Who we are At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make. We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you. About the Role We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient. You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale. This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business. What You'll Achieve - Define and implement scalable, secure, AI-driven IT architectures aligned with business needs. - Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management. - Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews. - Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management. - Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution. - Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency. - Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards. - Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making. - Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem. What You’ll Need to Be Successful - Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs. - Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them. - Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows. - Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure). - Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of GDPR, NIST, and SOC 2. - Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. - Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions. - Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking. Why join us There are many reasons to join us, but here are a few: - We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community - We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth. - Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
[Internship] HR Systems / Ai Transformation
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. This is a full-time internship based in Amsterdam starting in September. It is only open to students currently in full-time education based in The Netherlands. We are KRAFTON – a global collective of game development studios and publishing teams dedicated to creating innovative entertainment experiences. While you may know us through our flagship title, PUBG: BATTLEGROUNDS , our portfolio covers a diverse range games; from indie to AAA – made by studios all around the world. Amsterdam is the home of KRAFTON Europe, where we cover publishing & marketing for the EMEA region, as well as manage our Esports and other activities. We are also currently building a new PUBG game, with a large team of developers based here in-house. We are looking for a forward-thinking student to join our EMEA HR Team as an HR Systems / Ai Transformation Intern . Reporting to our HR Lead, you won’t just be shadowing the team; you will be the project owner of a strategic initiative to transform our HR operations through Artificial Intelligence. This is a unique opportunity to bridge the gap between human resources and innovative technology in an international business environment. Basic Roles and Responsibilities: - Lead AI Transformation: Act as the primary project owner for identifying and implementing AI solutions within the HR department. - Process Mapping: Analyze current HR workflows to identify repetitive tasks and opportunities for automation. - Prototype Development: Design and test AI-driven tools to improve service delivery and employee experience. - Stakeholder Collaboration: Work closely with the broader team to gather requirements and validate your solutions through user feedback. - Strategic Reporting: Document your findings and present a final recommendation package for scaling AI across EMEA HR. Required Experience: - Current Student: You are currently enrolled in an HBO or WO degree program (e.g., Business, HR, Data Science, or Digital Transformation). - Analytical Mindset: You possess strong problem-solving capabilities and a structured approach to complex tasks. - Tech-Curious: You have a genuine, demonstrable interest in AI, automation, and digital innovation. - Proactive Communicator: You are comfortable working independently and can present technical ideas clearly to non-technical stakeholders. “Nice to Have” Experience: - HR Fundamentals: A basic understanding of HR processes or organizational structures. - Project Management: Previous experience or coursework related to project planning and execution. - International Mindset: Comfort working in a diverse, English-speaking professional environment. What We Offer: - The opportunity to work and contribute to meaningful projects in a fast-paced, international business. - An internship allowance of 500 EUR gross per month - Full coverage of commuting costs if you do not have a weekday Student OV Card - Lunch with a value of up to 18 EUR (you pay 4.05 EUR tax) per day. More about our Amsterdam office… Our office is situated in Amsterdam Zuid, a buzzing business hub. We are just steps away from Zuid Station, ensuring excellent accessibility for commuting and travel. At KRAFTON, we strive to create a safe, inclusive, and harmonious atmosphere. We welcome applications from all backgrounds, genders, and identities. If you’re ready to kickstart your career by leading the future of HR technology, apply right away! 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
AI Solutions Architect (IT)
Who we are At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make. We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you. About the Role We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient. You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale. This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business. What You'll Achieve - Define and implement scalable, secure, AI-driven IT architectures aligned with business needs. - Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management. - Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews. - Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management. - Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution. - Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency. - Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards. - Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making. - Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem. What You’ll Need to Be Successful - Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs. - Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them. - Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows. - Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure). - Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of GDPR, NIST, and SOC 2. - Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. - Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions. - Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking. Why join us There are many reasons to join us, but here are a few: - We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community - We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth. - Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
Segment Go To Market Manager - AI Business Solutio...
Business Leadership: Partner with Field, Sales Excellence, and Finance to drive Segment performance across revenue, consumption usage and share. Sales Activation: Define, implement and orchestrate segment strategy for field execution of prioritized solution plays. Operational Excellence: Drive adoption of Security Execution Handbook for standardize execution. Leverages rhythms to coach and guide business performance Connected Sales & Marketing: Partner with Product, Program, CMO, and cross-SE&O teams to execute marketing strategy and comprehensive solution plays. Maximize pipeline impact through effective customer targeting, event follow-up, and content that highlights Security priorities. Adopts Copilot and modern ways of working to simplify and streamline processes. Enable OU to achieve targets: Ensure OU performance across revenue, consumption, usage, business health, pipeline health, and market share. Build, update, and drive execution of OU Plan: Lead FY planning and ongoing ‘path to green' strategies. Oversee pipeline generation, acceleration, top deal reviews, and unblock key actions aligned to Solution Plays. Leverage OU Insights & Challenges to remove blockers and influence GTM: Serve as the escalation point for SE&O, Investment, and WW teams to resolve OU-specific challenges. Surface market, customer, and partner insights to inform and adjust strategy and execution. 8+ years marketing strategy, business planning, sales enablement, business development, technical pre-sales, or related work experience. 12+ years marketing strategy, business planning, sales enablement, business development, technical pre-sales, or related work experience AND Bachelor's Degree in Business, Marketing, Computer Science, or related field OR equivalent experience. 8+ years experience managing and expanding a product/solution portfolio and driving demand generation and pipeline acceleration within a complex (e.g., multinational or matrixed) organization. Field Product Marketing IC5 - The typical base pay range for this role across Canada is CAD $128,000 - CAD $222,400 per year.
Playables AI Engineer
ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 1,000+ employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Paper, alongside popular apps such as BeReal and Wizz. TEAM Our Growth team helps maximize the potential of each Voodoo product within the ecosystem. Our Growth team is split into several job expertise such as user acquisition, ad monetization, video ads, playable ads, and creative strategy. Being part of the Growth Team at Voodoo requires a lot of operational excellence and creativity in order to constantly adapt ourselves to stay ahead of the rest of the market. Our core team mission in the Playable Ads team is to create engaging and interactive advertising experiences that captivate audiences and drive conversions. We work with playable developers, coordinators, creative strategists, and AI teams to turn a game into a high-performing HTML interactive ad experience. ROLE We are looking for a Playable Ads AI Engineer to help create the next generation of playable ads. You will combine strong playable development skills with applied AI expertise to build, modify, and scale interactive ads more efficiently. - Convert existing games into playable ads using Unity, Cocos Creator, HTML5, JavaScript, TypeScript, or other relevant technologies - Train, fine-tune, and evaluate AI models capable of generating or modifying playable ads - Develop AI workflows to iterate on gameplay logic, UI, visuals, difficulty, pacing, and end cards - Collaborate with creative, growth, data, and engineering teams to improve production pipelines and scale playable creation - Benchmark the market, test new ideas, and develop a strong understanding of what makes a playable ad perform PROFILE - Strong experience in playable ads development, Unity projects, game development, or creative technology - Experience creating playable ads with Unity, Cocos Creator, HTML5, JavaScript, TypeScript, Three.js, Phaser, or similar tools - Hands-on experience with AI model training, fine-tuning, prompt engineering, AI-assisted code generation, or generative AI workflows - Good understanding of object-oriented programming, interactive ad constraints, and mobile gaming performance drivers - Creative mindset, strong problem-solving skills, and ability to bridge gameplay, technology, and AI topics - Fluent in English, both oral and written - At least 3+ years of experience in playable ads development, Unity game development, AI engineering, or a similar role - Familiarity with analytics, A/B testing, MRAID, playable packaging, or ad network specifications is a plus BENEFITS Competitive salary and other benefits according to the country you reside in.
Principal AI Product Security Engineer
Scopely is looking for a Principal Security Engineer to join our Information Security team in Spain/Portugal on a hybrid basis. Our security team is dedicated to ensuring the security of our top games. This involves collaborating closely with game studios to develop and implement comprehensive security strategies throughout the game design and development lifecycle. In addition, this role will drive the application of AI to transform how security is delivered across Product Security, Security Operations, and Security Engineering , improving efficiency, scalability, and impact. What You Will Do Game & Product Security Leadership - Partner with game studios to develop comprehensive security strategies for game design and development - Conduct threat modeling, vulnerability assessments, and security audits across all phases of game development - Design and implement security controls and countermeasures to mitigate risks and ensure compliance with company policies, standards, and industry norms - Collaborate with game teams to advocate for secure coding practices and integrate security at every level of the software development lifecycle - Coordinate and participate in penetration tests and game feature security assessments - Provide expert-level technical guidance to game teams to assist in securing games and backend infrastructure - Translate business priorities, technical constraints, and threat intelligence into actionable security roadmaps AI-Driven Security Transformation & Automation - Identify and implement opportunities to apply AI to: - Vulnerability triage, prioritization, and remediation - Security operations workflows (alert analysis, investigation, response) - Product security processes (code analysis, findings analysis, pentesting support) - Build AI-driven workflows, tools, and agents to reduce manual effort and improve speed and accuracy - Use AI to improve vulnerability management through triage support, risk classification, remediation guidance, and findings analysis - Partner with Security Operations to improve detection, triage,investigation and response through automation and AI-assisted analysis - Integrate AI capabilities into existing security platforms (e.g., Wiz, SIEM, Jira, IAM systems) - Develop reusable AI-enabled components that scale across teams and studios - Establish practical guardrails for the safe and effective use of AI in security, including data handling, quality control, and human review - Define success metrics for AI-enabled workflows, including productivity gains, response times, remediation throughput, and signal quality Security Engineering & Platform Enablement - Design and implement scalable security solutions across cloud and backend systems - Work closely with information security domain owners to ensure games adhere to all relevant security policies, standards, and regulatory requirements - Develop and maintain comprehensive documentation on security architectures, processes, and decisions for technical and non-technical stakeholders - Improve security engineering efficiency through automation and tooling - Stay updated with the latest security technologies, trends, threats, and AI capabilities, continuously improving security practices Stakeholder Engagement & Leadership - Frequently interact with game studio leaders to understand their roadmaps, risk posture, and how information security can enable them to execute their vision securely - Develop security-related roadmaps in partnership with game teams - Regularly report to Information Security and Studio management on the threat landscape and security posture of games - Act as a thought leader using both qualitative and quantitative risk assessment frameworks - Lead and/or assist in security incidents and investigations What We're Looking For - 8+ years of experience in Product Security, software development, or cybersecurity - Proven track record in securing large-scale software applications and systems - Strong experience building automation and security tooling - Hands-on experience applying AI/LLMs to operational workflows, including designing, evaluating, and safely deploying AI-assisted systems is highly desirable - Ability to effectively communicate business risk and technical information clearly to both technical and non-technical audiences Technical Expertise - Expertise in modern programming languages such as Python and C# - Strong understanding of: - Application and product security - Vulnerability management and pentesting methodologies - API and backend security - Experience with mobile application penetration testing, including traffic interception, runtime analysis and API security. - Experience with modern development ecosystems, CI/CD pipelines, APIs, and developer platforms. - Strong, hands-on experience with cloud computing environments including: - AWS shared responsibility model - IAM and access control - Network security in the cloud - Strong understanding of securing cloud workloads including configuration, deployment, and auditing - Deep knowledge of Linux security practices Additional Strengths - Demonstrated ability to think like both an attacker and defender - Experience architecting for and managing high-scale, high-velocity workloads in AWS preferred - Familiarity with security frameworks (e.g., OWASP, NIST Cybersecurity Framework) and compliance regulations (e.g., GDPR, CCPA, ISO 27001) - Excellent analytical, problem-solving, and decision-making skills - Exceptional communication and leadership skills, with the ability to influence across teams Bonus Points - Experience applying AI to security, automation, or developer workflows - Previous experience at a game company - Familiarity with: - RAG architectures - Vector databases (e.g., pgvector) - AI-assisted code analysis or pentesting Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Senior Generative AI Designer / Artist
Scopely is looking for a Senior Generative AI Designer / Artist to join our Marketing team Flamed in Barcelona Office on a Hybrid basis. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a distributed team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We are the in-house creative agency Flamed, an International multidisciplinary team. We build thousands of creatives every year to support all Scopely games' marketing needs worldwide. What You Will Do This role requires someone comfortable working at a fast production pace, combining AI-assisted workflows, strong layout skills, polished image execution, and medium-level video editing capabilities. You will join our Arts & Animation Pod in Barcelona to create high-quality creative assets for some of the top mobile games in the world, including UA ads, ASO/store assets, social media content, key visuals, video templates, storyboards, and performance-driven iterations. - Produce high-quality static and video marketing assets from briefs, benchmarks, and creative direction. - Create polished graphic layouts, templates, key visuals, store assets, SoMe posts, and UA creatives. - Develop video templates, key frames, simple edits, storyboards, and performance variations for short-form marketing content. - Use AI tools as part of the creative process, refining outputs through prompt iteration, compositing, paintovers, retouching, and final polish. - Work mainly with Photoshop, and use Premiere and After Effects for editing, timing, keyframes, and template adaptation. - Collaborate with the Lead Artist, Art Director, and wider creative teams to ensure assets align with brand guidelines, art direction, storytelling, and production standards. - Participate in brainstorms and creative exploration, including occasional support on video hooks and new visual concepts. - Deliver fast, high-quality iterations based on feedback, KPIs, and creative performance data. What We’re Looking For - 5+ years of experience in marketing art, production art, visual design, or creative asset production, ideally in gaming, entertainment, or mobile-first content. - Familiarity with AI art pipelines, prompt writing, and image refinement tools. - Strong portfolio showing both static and video work, ideally from brief, sketch, storyboard, or concept through to final execution. - Excellent Adobe Photoshop skills, especially in layout, compositing, retouching, and final image polish. - Medium-level skills in Premiere and After Effects for editing, adapting templates, timing, keyframes, and producing polished marketing videos. - Strong graphic design fundamentals: layout, typography, composition, color, hierarchy, lighting, and visual balance. - Good understanding of UA, ASO, and social media creative formats. - Strong design taste, attention to craft, and ability to deliver polished assets under fast-paced timelines. - Ability to create sketches, storyboards, key frames, and rough layouts to develop ideas before final production. - Good understanding of art direction and visual storytelling. - Fluent English communication skills, both spoken and written. - Comfortable collaborating with international teams and stakeholders. Nice to Have: - Experience with 3D tools. - Experience with Unity or game engine captures. - Fast sketching skills for ideation and storyboarding. - Experience creating hooks for short-form UA videos. - Experience with production tracking and collaborative project tools. Please include a portfolio or PDF/links to examples of your work in the application. Applicants need work examples to be considered. The portfolio should include both static and video examples, ideally showing process work such as sketches, storyboards, briefs, key frames, art direction, final images, and final videos. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Machine Learning & Game Tech Architect
To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel and Beyond the Game Blog where we share behind-the-scenes insights and stories direct from our team members! CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you’ll be the key architect behind complex AI and game system integration, enabling novel experiences and serving as a bridge between machine learning and game developers. Responsibilities - Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems. - Design, develop and maintain learning and non-learning systems. - Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company. - Support programming and ML teams throughout development. - Establish and maintain quality guidelines for our ML applications. - Disseminate ML knowledge across the organization. - Improve the function of one’s team, either through individual achievement or through leadership. - Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results. - Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary. - A minimum of 7 years of experience designing, implementing, and maintaining API’s and applications. - Familiarity with classical AI concepts, such as symbolic processing and production systems. - Familiarity with Machine Learning: experience using leading ML libraries and platforms like TensorFlow, PyTorch and Keras. - Familiarity with modelling human behaviour and Reinforcement Learning is a strong plus. - Proficiency in C, C++, Rust, GO, or other system-level programming languages. - Proficiency in Python. - A track record of introducing ML solutions to traditional computer systems: experience in bringing ML systems into production, and inclination towards applied research. - History of working with high-performance computing and familiarity with the best practices in software optimization. - Familiarity with game engines and real-time simulations. - Intellectually curious. Humble and curious, constantly seeking learning opportunities, not limiting oneself to the bounds of role or company. - Autonomous: Proactive and self-driven. Capable of taking ambitious high-level goals, making a plan, driving it, and being accountable to the results. Nice to haves: - Master's degree in the fields of Computer Science, Mathematics, Statistics or other data-rich domains, or have an equivalent level of expertise from industry experience. - Unreal Engine experience. Work mode: Fully Remote Health & Well-Being - Private medical healthcare — a selection of medical plans with dental care and unlimited rehabilitation to choose from, which are also accessible for your partner and relatives. - Life insurance — comprehensive pension and insurance plans to protect you and your loved ones. - Annual screenings for cancer prevention covered by the company. - Psychological and psychiatrist care — free mental health support and various well-being initiatives. - Sports card — gain access to a wide number of sporting and fitness facilities across the city. - Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain. - RED Parents Network — support for working parents, including childcare benefits, and family-friendly events. - RED Summer Camp for Kids — a fun summer program for children aged 5–12, majoritively paid by the company. Perks & Professional Growth - A welcome pack filled with goodies — to help you feel right at home once you join the team. - Trainings, lectures, and courses — workshops and trainings for each employee, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available. There’s always something to learn! - REDs have access to the cafeteria platform through which they can receive subscription benefits, additional medical packages or vouchers and codes to shops, cinemas, and public transport reimbursement. - Gifts for newborn rebels and regular chances to nab some cool swag! Social Activities & Life in the Office - Dog-friendly office — dog owner? Bring your pooch with you and look after them while working! There’s always a furry friend or two to meet at the studio. - Social events — we host regular gatherings at the studio where we can all unwind, play games, and just have some fun together. - Healthy selections — canteens. - Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world. - Sustainability is an ongoing commitment for us, and our campus has electric car charging points, green zones, and much more. Read all about it on our Beyond the Game Blog . - A designated space for your bicycle, as well as bicycle repair equipment and showers available whenever you need them. - An onsite, well-equipped gym with a climbing wall, daily Gym Assistant support, and yoga and boxing classes. - No dress-code — we like to keep it casual. Estimated pay range for this position: 37 000 – 50 900 PLN gross monthly. Final offers are dependent on job-related factors like experience and qualifications. Type of contract: Employment Contract ("Umowa o pracę").
[Internship] Publishing Analytics & Ai Workflow
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. Publishing Analytics & Ai Workflow Intern We are KRAFTON – a global collective of game development studios and publishing teams dedicated to creating innovative entertainment experiences. While you may know us through our flagship title, PUBG: BATTLEGROUNDS , our portfolio covers a diverse range games; from indie to AAA – made by studios all around the world. Amsterdam is the home of KRAFTON Europe, where we cover publishing & marketing for the EMEA region, as well as manage our Esports and other activities. We are also currently building a new PUBG game, with a large team of developers based here in-house. We’re looking for an analytically minded student with an interest in Ai to join our PUBG publishing team and help them level up their workflow. You’ll help us identify areas that Ai can improve our current set up and help us create new tools and solutions for them. Basic Roles and Responsibilities: - Map current reporting and workflow processes used by the team - Identify repetitive manual tasks and automation opportunities - Support prototyping of dashboards or reporting workflows using existing data sources - Explore how AI can improve reporting, summarization, and workflow efficiency - Build structured recommendations for longer-term workflow improvement - Present progress in weekly updates and a final recommendation summary What we’re ideally looking for: - Currently in full-time education - Strong analytical and problem-solving skills - Interest in AI, automation, data workflows, or business intelligence - Ability to structure processes and identify inefficiencies - Comfortable working with data and reporting logic - Basic coding or dashboard-building capability is preferred - Clear communication skills and ability to explain technical work simply What We Offer: - The opportunity to work and contribute to meaningful projects in a fast-paced, international business. - An internship allowance of 500 EUR gross per month - Full coverage of commuting costs if you do not have a weekday Student OV Card - Lunch with a value of up to 18 EUR (you pay 4.05 EUR tax) per day. More about our Amsterdam office… Our office is situated in Amsterdam Zuid, a buzzing business hub. We are just steps away from Zuid Station, ensuring excellent accessibility for commuting and travel. At KRAFTON, we strive to create a safe, inclusive, and harmonious atmosphere. We welcome applications from all backgrounds, genders, and identities. 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
AI Risk & Technical Governance Specialist
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. What You’ll Do - Technical AI governance and assurance - Operationalise AI governance requirements across the full AI lifecycle, from ideation and use-case approval through development, validation, deployment, monitoring, change management, and retirement. - Review AI and ML systems at a technical level, including model design, feature pipelines, training approaches, validation methods, deployment architecture, monitoring controls, and human oversight mechanisms. - Translate technical system characteristics into clear governance, risk, and regulatory positions, including mapping to requirements under the EU AI Act, GDPR, LGPD and other relevant frameworks. - Conduct risk assessments and assurance reviews of AI systems, including risks relating to bias, explainability, privacy, robustness, model drift, misuse, human oversight, transparency, and customer impact. - Assess whether AI systems have the right documentation, controls, and evidence to support internal governance, regulatory scrutiny, and audit. - Governance implementation - Embed governance checkpoints, review criteria, and control requirements into product, engineering, and model development workflows. - Design and maintain practical governance artefacts such as AI inventories, use-case classification approaches, risk assessment templates, control libraries, testing standards, and review rubrics. - Define minimum evidence requirements for AI systems, including documentation of intended purpose, system design, data lineage, validation, performance metrics, limitations, human oversight, and post deployment monitoring. - Audit, compliance, and regulatory readiness - Perform technical governance reviews and audits of AI systems and supporting processes. - Test the design and operating effectiveness of AI-related controls and identify remediation actions where gaps exist. - Produce structured findings, risk opinions, and assurance reports for technical and non-technical stakeholders. - Support audit and regulatory readiness by building defensible compliance narratives and evidence packs. - Escalate material issues, control weaknesses, or ethical concerns and track remediation through to closure. - Monitoring and reporting - Help define and track meaningful AI governance, risk, and assurance metrics. - Develop dashboards and reporting views that provide visibility of AI use cases, risk status, control coverage, review outcomes, incidents, and remediation progress. - Oversee or challenge post-deployment monitoring for model performance, fairness, stability, drift, and adverse customer or business outcomes. - Business partnership and capability building - Work directly with data scientists, ML engineers, product teams, and business owners to help them build compliant and trustworthy AI systems without slowing innovation unnecessarily. - Build organisational capability by translating regulatory and governance expectations into practical guidance, playbooks, and training. - Keep stakeholders informed on emerging AI regulatory developments, assurance techniques, and good practice. What We’re Looking For - Extensive of experience across AI/ML, model risk, technical assurance, or technical AI governance, with a meaningful part of that experience in a regulated environment. - Preferred prior background as an ML engineer, data scientist, model validator, AI architect, or similar technical role, with subsequent and/or experience in AI governance, - AI assurance, model risk, or regulatory delivery. - Experience conducting deep reviews of AI/ML systems beyond policy conformance, including assessment of model design, validation, monitoring, and operational controls. - Experience translating technical AI concepts into regulatory, risk, audit, or compliance language for senior stakeholders. - Experience implementing governance processes, controls, and assurance mechanisms in real delivery environments, not just designing high-level frameworks. - Strong working knowledge of several of the following: EU AI Act, GDPR/LGPD and automated decision-making / profiling considerations, ISO/IEC 42001, ISO/IEC 23894, - NIST AI RMF, OECD or other leading responsible AI frameworks, sector or market expectations relevant to gambling, customer protection, and technology risk - Strong understanding of how AI and ML systems are built, evaluated, deployed, and monitored in production. - Ability to interpret model and system documentation, architecture diagrams, data flows, validation results, and monitoring outputs. - Familiarity with common ML approaches, LLM / generative AI patterns, model lifecycle tooling, and data/ML platforms. - Familiarity with cloud-based AI environments such as AWS, Azure, or GCP. - Stakeholder and delivery skills - Able to work across technical, product, risk, legal, cybersecurity, and operational teams with credibility. - Strong written skills, including the ability to produce clear review reports, risk assessments, control evaluations, and executive-ready summaries. - Comfortable leading workshops, challenging constructively, and driving remediation. - Able to operate with autonomy and create structure where none exists. - Strong judgement, pragmatism, and attention to evidence. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
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