Browse AI Jobs — Page 268

Senior Machine Learning Engineer

Negotiable

We’re looking for a Senior Machine Learning Engineer who can build large-scale systems and turn them into impactful solutions for players and the business. If designing real-time, player-facing use cases with measurable impact at massive scale sounds exciting, this could be a great fit. Supercell is rapidly scaling its machine learning capabilities. We are building a scalable ML platform and bringing personalized player experiences into production at massive scale. Our ambition is to empower game teams to deliver billions of automated, data-driven decisions across the full player journey every day. You’ll join a small, high-impact team of Data Science and Machine Learning experts, working closely with game teams, LiveOps, Data, and Analytics. You’ll play a key role in shaping Supercell’s ML platform, delivering impactful solutions, and enabling teams to build and scale ML-driven features. Your work will span the full ML lifecycle from business problem formulation and data collection to modeling and deployment real-time decisioning, helping turn ideas into production systems that directly impact players. You’ll set strong engineering practices, share your knowledge, and help shape how we use ML to optimize player experiences. What You'll Be Doing - Understand our games, players, and business goals to identify where ML can deliver meaningful impact, and build strong relationships across teams. - Design and build end-to-end, real-time and event-driven ML systems from data to low-latency serving, enabling context-aware player experiences. - Develop and deploy ML models and decision systems that shape personalized player experiences across the full player journey. - Build scalable ML systems and reusable platform capabilities, enabling game teams to adopt ML through tools, pipelines, and APIs. - Balance speed, robustness, experimentation, and standardization while continuously reducing time from idea to experiment to production. - Operate, monitor, and optimize production ML systems to ensure world-class performance, reliability, and scalability. - Champion modern MLOps practices through mentorship, code and design reviews, documentation, and by guiding game teams in adopting ML workflows. - Shape ML strategy and ensure it drives real player and business impact. - Continue to level up Supercell AI maturity throught knowledge sharing and adoption of new tools. What You Have - Deep expertise in Machine Learning with a strong track record of taking ML systems into production. - Hands-on experience deploying ML models at large scale, operating in high-traffic, low-latency production environments. - Strong software, data, and ML engineering skills, with the ability to design, build, and maintain robust end-to-end ML pipelines. - Experience leveraging modern AI-assisted development tools to improve productivity and accelerate iteration speed. - Proven ability to collaborate with other developers and AI agents, as well as independently drive ML projects from idea to production. - Excellent problem-solving ability, with strong analytical thinking and attention to detail. - Clear and effective communication skills, able to translate complex technical concepts for both technical and non-technical audiences. - Positive, proactive, and “can-do” mindset, with a willingness to dive deep and take ownership. - Passion for games. Previous industry experience is a strong plus. What You'll Be Using The following list is not intended as a strict set of requirements, but rather as examples of relevant technologies and areas of experience - Data & Processing: Python, Databricks, SQL, Spark, Redis, Tecton - Cloud: AWS, GCP - ML Frameworks: PyTorch, Ray, TensorFlow, ONNX - ML Training: Databricks Spark and Ray train + data - ML Serving: Ray serve, FastAPI, Triton inference - Infrastructure & Deployment: Docker, Kubernetes, Terraform, Kubeflow, GitHub Actions - Monitoring and tracking: Grafana, Prometheus, Weights and Biases, MLflow - AI development tools: Claude Code, Codex Where You'll Be This role is based in our Helsinki office. We value a collaborative work environment and genuine human interactions. You will work very closely with our other Helsinki-based teams. If you are not local, our relocation team would be excited to help you with your move to Helsinki. We provide comprehensive support not only for you, but also for your family! ––– That's it about the role! Below, we've gathered some things we feel are important for you to know. Totally optional, but a highly recommended read. Once you're ready to apply, just send us your application through the form on the bottom of the page. ––– About Supercell Supercell is a games company from Helsinki, Finland, with offices also in San Francisco, Seoul, Shanghai, and London. You might know us as the makers of Hay Day, Clash of Clans, Boom Beach, Clash Royale, and Brawl Stars . Our mission is to create great games that as many people as possible play for years and that are remembered forever. So, how do we make great games? By putting together the best teams and giving them the freedom and independence to succeed. And by taking risks, failing, sharing learnings , and killing lots of projects. Hey, You Might Love It Here! Independent cells and trust are at the core of our culture . But it takes more than that to make great games. We take good care of our people, providing them with the compensation, work environment, and resources they need to succeed while having fun along the way. You Are Not Your Job Title ™ Here, you won’t need to focus on chasing titles or climbing ladders. Internally, our job titles don’t include prefixes like Senior, Junior, Principal, or Director. Recognition isn’t tied to your title, as it doesn't define the impact you can have around here. Benefits and Compensation Luring you in with glitter, glamour, and gems isn't what we're about. We want you to enjoy your time here fully, so we structure our compensation and benefits with that in mind. It starts with perceiving you as a human being, not a resource. Relocation? Yes! No matter where you’re moving from, our dedicated mobility team and partners will support you throughout your move. We’ll ensure the process is as smooth as possible for you and anyone joining you – whether they’re family members of the human or animal kind! Not Sure if You Should Apply? Many candidates with great skills and experience second-guess themselves. The bar is high, but if this role excites you, apply! We’re here to help you succeed. Also, we're happy to learn about any specific accommodations you may need to fully engage in our recruitment process. Wishing you all the best, The Supercell Recruitment team

👤 HumanFull-timeSenior

By SupercellJul 25, 2026

Senior Machine Learning Operations Engineer (MLOps...

Negotiable

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.

👤 HumanFull-timeSenior

By Easygo GamingJul 25, 2026

Senior Data Scientist

Negotiable

Objectives We are looking for a Data Scientist with strong Machine Learning capability to design, validate, and productionize models that improve player experience and business outcomes across Amanotes games and data products. This role will help Amanotes move from descriptive analytics to intelligent decisioning by turning user, product, and business data into ML-powered actions such as dynamic difficulty adjustment, recommendation, offer personalization, and ad optimization. WHAT YOU WILL DO - Work on high-impact personalization and optimization use cases such as song recommendation, dynamic difficulty adjustment, ad frequency optimization, personalized IAP offers, churn prevention, and content or event performance prediction. - Build end-to-end ML workflows: problem framing, feature design, model development, offline validation, experiment design, online testing, monitoring, and iteration based on results. - Develop predictive models that support UA, Product, and business decisions, such as pUV/LTV prediction, early-value prediction, creative winning prediction, UA and portfolio ROI forecasting, and campaign or resource-allocation recommendation signals. - Partner closely with UA and Product teams to turn predictive outputs into practical workflows for planning, targeting, bidding, creative iteration, and growth decision-making. - Explore large-scale behavioral data to uncover player patterns, segments, and opportunities using statistical analysis, experimentation, and data science techniques. - Work at the intersection of Data Science, Product, Game Design, and Music Experience Design to improve how music changes player experience inside Amanotes products. - Contribute to ML-driven systems for game difficulty and player flow, including difficulty prediction, game skill estimation, frustration detection, and next-best difficulty or assist recommendations. - Support Amanotes’ music-experience initiatives by helping quantify, model, and validate how music mechanics, reactive audio, or musicalized gameplay affect retention, engagement, monetization, and user experience. - Work with Data Engineering to ensure the right data foundation, quality, and availability for model training, scoring, monitoring, and analysis. - Design and analyze A/B tests or other controlled experiments to measure model impact on engagement, retention, monetization, player experience, and product growth. - Communicate findings, trade-offs, and recommendations clearly to both technical and non-technical stakeholders. - Contribute to Amanotes’ broader data and AI capability by improving reusable data assets, experimentation practices, predictive systems, and data-science ways of working. QUALIFICATIONS - Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or another quantitative field. - Strong foundation in statistics, experimentation, machine learning, and analytical problem solving. - Strong hands-on ability with SQL and Python for data extraction, analysis, feature engineering, and modeling. - Experience building data products or ML solutions end to end, from discovery and R&D to production or live experimentation. - Ability to work with messy, large-scale behavioral data and convert it into usable features, insights, and decisions. - Comfortable working cross-functionally with product, engineering, and business stakeholders in an ambiguous, fast-changing environment. - Clear communication in English and Vietnamese, with the ability to explain technical topics to non-technical audiences. BENEFITS At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below: - Competitive salary upon experience - 13th-month salary - Year-end Bonus - Flexible working time - Personal learning and well-being budget - Team-building budget - Lunch and parking allowance - Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, LinkedIn Learning...). - Engaging music events: Music Night, Amasing Night, Music schools… - Employee Assistance Program to support mental health & well-being. - Minimum 12 days of paid annual leave, plus 10 days of paid sick leave. - 12 days working from home per year. Consent Notice for Personal Data Processing - By applying to any position at Amanotes, you acknowledge and agree that your personal data will be collected and processed for recruitment-related purposes. Please read the “ Consent Notice for Personal Data Processing ” carefully before submitting your application. - Thank you for your interest in joining Amanotes. About Amanotes We are Amanotes – a dynamic music game company that’s using cutting-edge technology to transform how people experience music. Since 2014, we’ve led the global simple music game market with over 3.5 billion downloads across 190+ countries, including chart-topping titles like Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats. As the #1 Music Game Publisher worldwide and the #1 App Publisher from Southeast Asia by downloads, our ambition is clear: to create iconic, hybrid-casual music games that people love and play for years. What truly sets Amanotes apart is not just what we build — it’s how we grow and who we grow with: 🎓 We invest in your growth through learning budgets, coaching, and stretch opportunities. 🎶 We embrace a creative and dynamic culture, where everyone can play, share, and thrive. 🧘 We believe in work-life harmony — your rhythm matters here. 🏆 We recognize and reward impact, with competitive benefits and clear development paths. Come join our music-filled workplace, where innovation meets rhythm — and let’s create a magical music experience together. Amanotes – Where Everyone Can Music. How To Apply? Click the button or contact us at talents@amanotes.com.

👤 HumanFull-timeSenior

By AmanotesJul 25, 2026

Data and Insights Manager (Based in HCMC)

Negotiable

Objectives - To lead the impact of data science on different areas of business, that include data management, data analytics & data innovations through Machine Learning, AI - Being the visionaries & execution driver of all data-enabled initiatives in Amanotes. Provide transformative direction and the general technical leadership for Amanotes Data Ecosystem. Coordinate cross-function to leverage data to achieve impactful business outcomes What you will do - Data Management - Supervise the data and information system to ensure adequacy, accuracy, and legitimacy of data products (including but not limited to: reports, insights, analytics tools, models) - Establish & Supervise Amanotes data governance and policies - Facilitate & Communicate Data Visions and Strategies across functions & business units - Data Operations (Data Supports) - Anticipate the upcoming trends and business demands to propose impactful data deliverables - Supervise the pipeline to deliver data with high quality, timeliness, usefulness; to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard) - Ensure Data Support Excellence in performing data ad-hoc requests - Data Analytics & Insights - Define Analytics opportunities to support the growth of Amanotes - Develop the Analytics Capacities in Amanotes: Through Data & Data Science techniques, Mastering knowledge about our customers, products, and business - Innovation (AI/ML) - Drive Amanotes data-empowered innovations through ML/AI to improve the efficiency & quality of Amanotes business and products - Raise awareness of the potential application of ML/AI in Amanotes - Provide Data, ML/AI learnings, and strategic input to business visions and projects - Design the framework of AI/ML building, testing, deployment at a large scale - Supervise & Ensure the quality, and efficiency of ML/AI deliverables Qualifications - Bachelor's degree in Data Science, Computer Science, Information Technology, Economics, Statistics, Applied Math, Business Administration, or any other related field - 3-5 years experience in a senior-level data management role - Experience in designing, managing, and delivering data solutions with a proven track record of managing end-to-end delivery from ideation to R&D to production with multiple stakeholders involved (managing timelines, development, deliverables, and expectations) - Experience in managing senior stakeholders and communicating complex, technical information in an engaging way to both technical and non-technical audiences - Technical understanding or enthusiasm in areas of BI, AI (Incl. Machine Learning), Reporting and visualization, infrastructure, architecture, and governance, are appreciated - Demonstrated leadership ability, confidence, and executive presence – ability to lead and motivate employees within the organization - Excellent analytical, problem-solving, and data analysis skills - High Adaptability (quick-learner & able to adapt quickly with changes in high uncertainty environment) - Radical open-mindedness and radical transparency - Excellent verbal and written communication, in English and Vietnamese - High level of strategic thinking & critical thinking - Exceptional team management skills Will be a plus - Master’s degree or Ph.D. in Data Analytics, Data Scientists, or related fields - Working experience related to the mobile/music/game industry is a plus - Knowledge of Modern Data Stacks, i.e. GCP, AWS, and MLOps is a plus - Passion for Music (such as playing musical instruments and love to sing karaoke) is a huge asset - Showcase in designing initiatives and leading the organization’s data strategy Benefits At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below: - Competitive salary upon experience - 13th-month salary - Year-end Bonus - ESOP - Flexible working time - Personal learning and well-being budget - Team-building budget - Lunch and parking allowance - Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, Linkedin Learning...) - Engaging music events: Music Night, Amasing Night, Music schools… - Employee Assistance Program to support mental health & well-being - Minimum 12 days of paid annual leave, plus 10 days of paid sick leave - 12 days working from home per year Consent Notice for Personal Data Processing - By applying to any position at Amanotes, you acknowledge and agree that your personal data will be collected and processed for recruitment-related purposes. Please read the “ Consent Notice for Personal Data Processing ” carefully before submitting your application. - Thank you for your interest in joining Amanotes. About Amanotes We are Amanotes – a dynamic music game company that’s using cutting-edge technology to transform how people experience music. Since 2014, we’ve led the global simple music game market with over 3.5 billion downloads across 190+ countries, including chart-topping titles like Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats. As the #1 Music Game Publisher worldwide and the #1 App Publisher from Southeast Asia by downloads, our ambition is clear: to create iconic, hybrid-casual music games that people love and play for years. What truly sets Amanotes apart is not just what we build — it’s how we grow and who we grow with: 🎓 We invest in your growth through learning budgets, coaching, and stretch opportunities. 🎶 We embrace a creative and dynamic culture, where everyone can play, share, and thrive. 🧘 We believe in work-life harmony — your rhythm matters here. 🏆 We recognize and reward impact, with competitive benefits and clear development paths. Come join our music-filled workplace, where innovation meets rhythm — and let’s create a magical music experience together. Amanotes – Where Everyone Can Music. How To Apply? Click the button or contact us at talents@amanotes.com.

👤 HumanFull-timeSenior

By AmanotesJul 25, 2026

Principal Platform Engineer, AI

Negotiable

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. We are hiring a Principal Platform Engineer, AI to design, build, and operate the enterprise AI platform for Hasbro and Wizards of the Coast — the shared foundation that becomes the standard, governed path for how internal teams access and leverage AI capabilities. WHAT YOU'LL BUILD: - Enterprise AI runtime: Model gateway, routing layer, and provider abstraction with identity-aware access, quota controls, and end-to-end traceability. - Agent and Tool Protocol Standards: MCP and A2A as the connective tissue between agents, tools, and data sources, including authentication/authorization and security patterns for each - Responsible AI: Identity-aware access controls, prompt management standards, evaluation frameworks, central policy controls, and safety guardrails that adjust without app-side code changes. - Data and Retrieval Integration: Data platforms (Databricks, Snowflake, etc.) integration, grounding and context patterns that fully exploit modern model capabilities supercharged with a wealth of owned data. - Enterprise AI Administration: Own configuration, governance, and operational management of enterprise AI systems, ensuring consistent policy, auditability, and cost visibility across managed AI products. - Enterprise AI Operations: Cost attribution, rate limiting, audit telemetry, and operational monitoring designed to be operational from day one. HOW YOU'LL SUCCEED: This is not a greenfield position; you'll be joining an organization where AI investment is already substantial. Structured teams are running production workloads, analytics and research organizations with deep Databricks and Snowflake investments, and yes, shadow deployments, rogue MCP servers, and bespoke integrations that teams built because there wasn't yet a useful official path. This demand and momentum, and the teams behind them, will be critical to partner with. This role needs someone who can walk into this environment and become the clear center of gravity, not through authority but through credibility, good defaults, and a platform that is genuinely easier to use than what teams have already built. The technical work matters, but excelling in this role will depend on your ability to bring people with you. YOU WILL: - Partner across the organization to drive agreement on interface contracts, especially around MCP and A2A protocols, identity, and data access, so teams can build in parallel rather than waiting on each other. - Earn adoption from research, engineering, and product teams already engaged with AI, by making your path obviously better, not by mandate. You'll meet teams where they are, respect what they've already shipped, and sequence migrations with emotional intelligence. - Work with security, legal, and risk partners to translate AI safety from policy into running code that holds up in audit and in production. - Drive consensus through written design docs, evaluation results, and decision records, not through status meetings or organizational pressure. - Communicate at every altitude, from an on-call incident to a VP review — without losing precision or changing register. WHAT YOU'LL BRING: - 10+ years in platform, infrastructure, or systems engineering with direct ownership of production systems used by other engineers. - Hands-on experience building shared AI platforms, specifically with AWS Bedrock, AgentCore, and/or SageMaker, for multi-team use at scale. - Deep familiarity with agent and tool protocols including MCP and A2A, including their authentication and security models. - Working knowledge of enterprise identity and access control (Microsoft Entra ID, Okta) and how IAM patterns apply to AI systems and agent-to-agent communication. - Experience integration with modern data platforms (Databricks, Snowflake, etc.) and building grounding and retrieval patterns using tool-use and function calling. - Familiarity with enterprise AI administration platforms such as Claude for Enterprise and ChatGPT Enterprise, including governance, policy configuration, and cost management. - Azure and/or Databricks experience is a meaningful plus, especially when in context of supporting analytics and research-heavy organizations. - Pragmatic about AI safety; you treat guardrails as an engineering discipline rather than a compliance checkbox. - A proven track record of driving cross-team technical adoption through credibility, clarity, and well-built defaults rather than relying on organizational authority Compensation and benefits may vary based on location and role. At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $205,100 - $307,600 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: - Health & Wellness - Time Off to Recharge - Financial Well-being - Life & Family Support - Volunteer and Community Initiatives - Learning & Development - Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

👤 HumanFull-timeExpert / Staff+

By Wizards of the CoastJul 25, 2026

Applied AI Engineer

Negotiable

Negotiable

Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About the Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What the Role Entails Job Responsibilities ●Research and develop advanced speech synthesis and generation algorithms (e.g., TTS, voice conversion, sound/music generation) based on LLMs, multimodal/omnimodal LLMs. ●Develop and optimize speech and audio synthesis systems for online applications, improving effectiveness, efficiency, and scalability. ●Explore and advance full-duplex/streaming multimodal LLM capabilities in speech understanding, generation, and real-time spoken interaction. ●Collaborate cross-functionally with research and engineering teams from prototyping to production. 岗位职责 ● 基于大语言模型（LLM）及多模态/全模态大模型，研究和开发前沿语音合成与生成算法（如 TTS、语音转换、声音/音乐生成等）。 ● 开发和优化面向线上应用的语音及音频合成系统，提升效果、效率和可扩展性。 ● 探索并推进全双工/流式多模态大模型在语音理解、语音生成及实时语音交互方面的能力。 ● 与研究和工程团队跨职能协作，推动项目从原型验证到生产落地。 Who We Look For Requirements ●Ph.D. in Computer Science, Electrical Engineering, Signal Processing, or a closely related field. ●Strong foundation in speech/audio processing and modern generative models (e.g., diffusion, flow matching, autoregressive, codec-based approaches). ●Hands-on experience extending LLMs to speech/audio modalities (e.g., speech tokenizers, multimodal adapters, speech-text joint training). Experience with full-duplex or streaming spoken dialogue systems and real-time interaction modeling is a plus. ●Proficient in Python and deep learning frameworks (e.g., PyTorch); experience with distributed training is a plus. ●Track record of publications at top-tier venues (e.g., ICML, NeurIPS, ICLR, ACL, ICASSP, Interspeech). ●Mandarin Chinese / Business-level Japanese or English 任职要求 ● 计算机科学、电子工程、信号处理或相关领域博士学位。 ● 具备扎实的语音/音频处理基础，熟悉现代生成模型（如扩散模型、流匹配、自回归模型、基于编解码器的方法等）。 ● 具有将大语言模型扩展至语音/音频模态的实际经验（如语音分词器、多模态适配器、语音-文本联合训练等）；有全双工或流式语音对话系统及实时交互建模经验者优先。 ● 熟练使用 Python 及深度学习框架（如 PyTorch）；有分布式训练经验者优先。 ● 在顶级学术会议发表过论文（如 ICML、NeurIPS、ICLR、ACL、ICASSP、Interspeech 等）。 ●中文/商务日语或英文 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.

👤 HumanFull-timeSenior

By LIGHTSPEED STUDIOSJul 25, 2026

Senior Researcher, Speech Synthesis and Multimodal...

Negotiable

部署紹介/Business Unit LIGHTSPEED STUDIOS は、物語性の高いストーリー、没入感のあるゲームプレイ、最先端のテクノロジーを駆使し、ゲーム開発をアートとサイエンスの融合として追求し続けています。世界中のプレイヤー、そしてあらゆるデバイスに次世代のゲームエクスペリエンスを提供することを使命としています。 LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. チーム紹介/About the Hiring Team Lightspeed Tech Center は、PUBG モバイルを始めとする様々な高品質ゲームを手掛けた Lightspeed Studios の研究開発部門です。Tech Center は技術研究とイノベーションを牽引し、ゲーム作品にそのライフサイクルを通して、エンジン、音響、QA、AI、次世代技術、技術提携などのテクニカルサポートを提供しています。 Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. 仕事内容/What the Role Entails Job Responsibilities ●Research and develop advanced speech synthesis and generation algorithms (e.g., TTS, voice conversion, sound/music generation) based on LLMs, multimodal/omnimodal LLMs . ●Develop and optimize speech and audio synthesis systems for online applications, improving effectiveness, efficiency, and scalability. ●Explore and advance full-duplex/streaming multimodal LLM capabilities in speech understanding, generation, and real-time spoken interaction. ●Collaborate cross-functionally with research and engineering teams from prototyping to production. 岗位职责 ● 基于大语言模型（LLM）及多模态/全模态大模型，研究和开发前沿语音合成与生成算法（如 TTS、语音转换、声音/音乐生成等）。 ● 开发和优化面向线上应用的语音及音频合成系统，提升效果、效率和可扩展性。 ● 探索并推进全双工/流式多模态大模型在语音理解、语音生成及实时语音交互方面的能力。 ● 与研究和工程团队跨职能协作，推动项目从原型验证到生产落地。応募資格/Who We Look For Requirements ●Ph.D. in Computer Science, Electrical Engineering, Signal Processing, or a closely related field. ●Strong foundation in speech/audio processing and modern generative models (e.g., diffusion, flow matching, autoregressive, codec-based approaches). ●Hands-on experience extending LLMs to speech/audio modalities (e.g., speech tokenizers, multimodal adapters, speech-text joint training). Experience with full-duplex or streaming spoken dialogue systems and real-time interaction modeling is a plus . ●Proficient in Python and deep learning frameworks (e.g., PyTorch); experience with distributed training is a plus. ●Track record of publications at top-tier venues (e.g., ICML, NeurIPS, ICLR, ACL, ICASSP, Interspeech). ● Mandarin Chinese / Business-level Japanese or English 任职要求 ● 计算机科学、电子工程、信号处理或相关领域博士学位。 ● 具备扎实的语音/音频处理基础，熟悉现代生成模型（如扩散模型、流匹配、自回归模型、基于编解码器的方法等）。 ● 具有将大语言模型扩展至语音/音频模态的实际经验（如语音分词器、多模态适配器、语音-文本联合训练等）；有全双工或流式语音对话系统及实时交互建模经验者优先。 ● 熟练使用 Python 及深度学习框架（如 PyTorch）；有分布式训练经验者优先。 ● 在顶级学术会议发表过论文（如 ICML、NeurIPS、ICLR、ACL、ICASSP、Interspeech 等）。 ●中文/商务日语或英文一緒に働く魅力/Why Join Us? 賃金年収額：応相談（昇給/賞与あり） ※経験・スキル等を考慮し、当社規定により優遇します。 ※一般社員の場合、固定残業代月35時間分が含まれます。管理職の場合、固定残業代10時間分が含まれます。労働時間・休日就業時間 09:30 ~ 18:30　休憩時間 60分フレックスタイムあり完全週休２日制（土日・祝日）有給休暇：入社初年度は、入社月により期間按分付与。在籍年数踏まえて最大22日年末年始休暇（12/30～1/3）病気休暇（有給）：12日/年（有給休暇とは別途付与）福利厚生＜各種保険＞健康保険、雇用保険、労災保険、厚生年金保険、総合福祉団体定期保険（GTL）業務災害安心総合保険（GPA）、団体長期障害所得補償保険（GLTD）海外旅行保険＜各種手当＞通勤手当(上限5万円/月) 、通信手当（上限1万円/月）、自己啓発手当（上限2万円/月）、平日に出社した場合食事補助1800円/日、定期健診手当（上限7万5千円/年1回）＜支援制度・その他待遇＞フリードリンクコーナー、ギフトカード（お盆、正月の2回支給、2万円/1回）従業員支援プログラム(EAP) 、慶弔見舞金、永年勤続賞/休暇この求人広告に記載されているポリシー（給与、福利厚生、労働条件などを含むがこれに限らない）は、会社のリアルタイムポリシーに応じて調整される可能性があります。平等な雇用機会を重視するテンセント/Equal Employment Opportunity at Tencent テンセントは、雇用機会の均等を最重要視しています。私たちは、多様性がイノベーションを促進し、ユーザーやコミュニティに対してより良いサービスを提供する原動力になると確信しています。社員一人ひとりが十分なサポートを受け、自身の目標と会社の目標を共に達成できるよう、モチベーションを高められる環境づくりを大切にしています。 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.

👤 HumanFull-timeSenior

By LIGHTSPEED STUDIOSJul 25, 2026

Software Engineer, Notifications

Negotiable

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. The Notifications squad is a multidisciplinary group of engineers working across client experiences, infrastructure, and machine learning to make sure every notification Discord sends is high signal and high value. As a Software Engineer on Notifications, you'll own well-defined projects end-to-end, sweat the details of a great user experience, and grow your craft alongside a team that ships reliably and cares deeply about quality. This person will report to the Senior Engineering Manager for Growth. What You'll Be Doing - Improve client device experiences for receiving notifications and tailoring notification preferences - Build the platform that enables all other teams in the company to send delightful notifications while delivering the maximum value to our users. - Pair with Machine Learning engineers to optimize global notification signals and quality. - Maintain a high quality bar for our platform’s operational health and client performance - Pair with Product and Design leads to find the right solutions that balance delight, speed of delivery and impact What you should have - 2+ years of professional software engineering experience - Proficiency in one or more of Python, Elixir, or Typescript with eagerness to learn new languages and skills - A track record of delivering high quality software reliably and on time - Attention to detail and a quality-first mindset: you sweat the right details and catch your own bugs before they reach customers - You are motivated to help your team members succeed, grow, and learn from each other through empathetic feedback - A customer-focused approach and comfort working toward clear, measurable team goals Bonus Points - You are a Discord user, and understand the core features and flow of Discord communications - You have previously worked on notifications or been a part of a growth team The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

👤 HumanFull-timeMid

By DiscordJul 25, 2026

Senior Software Engineer, Machine Learning (Ads)

Negotiable

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking. As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue. This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business's success. Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies. What You'll Be Doing: - Design, develop, and deploy machine learning models for ads targeting and ranking. - Develop sophisticated ML solutions such as identity graph to enhance ad targeting. - Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click). - Improve ads targeting and ranking by leveraging both on-platform and off-platform signals. - Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap. - Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making. - Drive research and implementation of state-of-the-art ML techniques in the field of online advertising. What You Should Have: - 5+ years of experience as a Machine Learning Engineer or Data Scientist. - 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement). - Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. - Experience with applied deep learning (e.g transformers, embedding models). - Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications. - Experience working with real-time ML inference, A/B testing, and optimization frameworks. - Experience translating ML evaluation results and performance metrics into actionable product roadmap items. - Ability to connect business objectives to ML solutions, with the flexibility to shift focus toward the highest-impact problems as priorities evolve. Bonus Skills: - Strong understanding of performance advertising and how ML impacts revenue and advertiser retention. - Knowledge of ad tech industry standards and ads ecosystem including targeting, retrieval, ranking, pacing, frequency, auction, etc. - Experience with large-scale recommendation systems. - Experience with large-scale data infrastructure and distributed computing The US base salary range for this full-time position is $220,000 to $275,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

👤 HumanFull-timeSenior

By DiscordJul 25, 2026

Data Scientist, Analytics

Negotiable

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams including revenue. If you’re passionate about data, impact, and working on an amazing team, read on! What you'll be doing - Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing - Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information - Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes - Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve - Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly - Collaborate with data and engineering teams to design scalable and future-proof instrumentation What you should have - 3+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics - 3+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations - 2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment - 2+ years experience writing excellent SQL - Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways - A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord - Last but not least - a collaborative attitude and a healthy dose of natural curiosity! Bonus Points - Passion for Discord or online communities - Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc. - Experience in the user engagement and growth problems - Experience writing performant code in BigQuery SQL - Experience with writing production ETL - Experience leveraging AI for data science The US base salary range for this full-time position is $180,000 to $220,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

👤 HumanFull-timeMid

By DiscordJul 25, 2026

ML Technical Lead

Negotiable

Negotiable

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation. - Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications. - Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences. - Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows. - Build and optimize AI-powered gaming tools , enabling developers to create more immersive and dynamic player experiences. - Develop and fine-tune models to improve AI in gaming applications. - Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes. - Stay updated on the latest advancements in AI for gaming , ensuring our solutions remain state-of-the-art. - Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability. - Assist in the deployment, monitoring, and maintenance of AI models in production environments. - Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable Pre-Requisites : - Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation) . - Proficiency in Python and experience with PyTorch or TensorFlow for deep learning. - Experience with game engines such as Unity and Unreal Engine is a plus. - Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems . - Experience in training and fine-tuning large-scale AI models . - Experience with cloud-based AI deployment (AWS, GCP, or Azure) . - Strong problem-solving skills and ability to translate research into practical solutions. - Excellent verbal and written communication skills to collaborate with technical and non-technical teams. - Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies. Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media. Travel Requirements Role based in Singapore office, with occasional travel (up to 1 trip per year ) for conferences, research collaborations, or business meetings. Are you game?

👤 HumanFull-timeSenior

By RazerJul 25, 2026

Senior Data Scientist (Computer Vision Engineer)

Negotiable

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This role will focus on designing and developing advanced computer vision solutions for interactive systems. The ideal candidate will have strong expertise in core computer vision techniques such as object detection, tracking, segmentation, image classification, and video analysis, along with experience extending these capabilities for richer semantic understanding. This role involves working closely with data engineers, game developers, and software engineers to build scalable, production-ready vision systems that enable robust perception, automated analysis, and fast iteration in real-world environments . Essential Duties and Responsibilities - Develop and implement computer vision algorithms for tasks such as object detection, tracking, action recognition, segmentation, image classification and video understanding . - Design and contribute to end-to-end computer vision systems to meet functional, performance, and scalability requirements . - Collaborate with data engineering team to design annotation schemas, labeling taxonomies, and data validation strategies for large-scale image, video, and multimodal datasets supporting computer vision and multimodal model training. - Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries. - Evaluate the performance of computer vision models using appropriate metrics and benchmarks. - Optimize models for real-time inference, edge deployment, or large-scale serving, considering latency, memory, and throughput constraints. - Work closely with software engineering teams to support the integration and deployment of computer vision and multimodal models into production systems via APIs and messaging frameworks. - Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems. - Document design specifications, technical requirements, and implementation details for computer vision solutions. - Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation. - Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems . Pre-Requisites : Qualifications - Proven experience in developing and implementing computer vision algorithms and models in real-world applications. - Proficiency in programming languages such as Python or C++. - Strong understanding of image and video processing techniques and methodologies. - Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks such as PyTorch and TensorFlow for developing and training vision models. - Experience defining data requirements and working with annotated datasets for computer vision model training. - Ability to evaluate and optimize model performance using task-specific metrics and benchmarks. - Strong analytical and problem-solving skills . - Excellent written and verbal communication skills across technical and non-technical teams . Preferred - Experience with Vision-Language Models (VLMs), multimodal learning, or generative AI for vision tasks. - Experience with messaging and communication technologies such as RabbitMQ, gRPC, REST APIs for service integration. - Exposure to distributed training, large-scale experiments, or multi-GPU systems. - Experience with model optimization and deployment (e.g., ONNX, TensorRT, edge or real-time inference). Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 2+ years of applied experience in computer vision or multimodal AI (academic or industry). Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

👤 HumanFull-timeSenior

By RazerJul 25, 2026

AI Architect

Negotiable

Company Description Job Description WHAT YOU WILL BE WORKING ON The AI Architect is responsible for the technical vision and strategy of the initiative. This is not a role for someone who wants to build everything from scratch, it's for someone who finds the fastest path to delivering value, whether that means building, buying, integrating, or creatively combining all three. You're an unblocker: when the team hits a wall, you find a way around it. When bureaucracy slows things down, you propose pragmatic alternatives. You care about outcomes, not about owning the code. Technical Vision & Strategy - Define the technical roadmap and architecture for the Ask.ai platform and related AI solutions - Evaluate and select technologies, frameworks, models, and infrastructure - Make build vs. buy decisions together with the AI Product Owner - Stay up to date with the AI landscape and assess relevance for Gameloft's needs Standards & Governance - Define and enforce technical standards for building AI solutions across the company - Establish contribution guidelines and review processes for the inner-sourced project - Maintain AI galleries (agents, MCP servers, integrations) to promote reuse and discoverability - Define infrastructure standards to ensure consistency and cost-effectiveness - Review and approve contributions from teams outside the core team Development Coordination - Coordinate the work of AI Engineers and inner-source contributors - Ensure that solutions are designed for maintainability, scalability, and security - Provide technical mentorship to engineers and interns - Define the onboarding process for new contributors (internal teams, interns) Platform & Infrastructure - Own the technical direction of the Ask.ai platform - Design the architecture for integrations with enterprise tools (Jira, Teams, Email, etc.) - Evaluate and manage AI model providers (open source and commercial) - Ensure data privacy and security across all AI solutions Support for Teams - Provide technical guidance to teams with technical capabilities building their own AI solutions - Help non-technical teams by designing solutions that fit their workflows - Build reusable components, SDKs, and templates that reduce development effort across teams - Partner with QA to define testing strategies and quality standards Qualifications WHAT YOU NEED TO SUCCEED - Strong hands-on experience with AI/ML systems (LLMs, agents, RAG, embeddings, MCP, etc.) - Experience designing and building enterprise-grade platforms or SaaS products - Proficiency in Python - Experience with DevOps tools (Docker, OpenTofu, Gitlab pipelines, etc.) - Strong understanding of API design, microservices, and integration patterns - Experience defining technical standards and governance for engineering teams WHO YOU ARE - Solution-oriented mindset - you bring solutions, not problems. When something is blocked, your instinct is to find a way forward, not to explain why it can't be done. - Pragmatic approach to build vs. buy - no bias toward building everything in-house. You evaluate honestly and pick whatever delivers the most value fastest. - Ability to communicate technical concepts to non-technical stakeholders Who you would be working with - International teams across multiple studios and departments - Tech directors, game tech representatives and also non-technical colleagues Your recruitment journey - HR interview - Technical interview - Manager Interview WHAT’S IN IT FOR YOU Benefits - 2 months/year full remote work from anywhere; - MyBenefits platform - 45 RON/day; - Extra days off for seniority, birthday and company anniversary; - Short Fridays, so you can start your Weekend at 4PM; - Medical subscription with Regina Maria; Life at Gameloft - Hybrid work model (2 days/week from the office); - Bookster subscription; - Free coffee, fruits, and relaxation areas; - Inclusive and international work environment; - Supportive team culture and open communication style; How to proceed Want to be part of a creative, collaborative, and multicultural environment alongside talented industry professionals? Apply now and if your experience matches the role, one of our recruiters will contact you to share more details about the opportunity and guide you through the next steps of the recruitment process. Additional Information

👤 HumanFull-timeMid

By GameloftJul 25, 2026

AI Engineer (for Game Development)

Negotiable

Job Description WHAT YOU WILL BE WORKING ON What you will focus on As our Senior AI Engineer, you'll own the AI technology that powers the next generation of our games—from computer vision and generative AI to conversational AI and AI-assisted development workflows. You'll bridge cutting-edge AI research with production-ready solutions, ensuring our AI features are scalable, reliable, and enjoyable for millions of players. What it means on a daily basis - Design, build, and optimize end-to-end AI workflows and ML pipelines, from data collection and model training to deployment and monitoring. - Lead the development of AI features across computer vision, generative AI, conversational AI, and AI-driven gameplay experiences. - Research, prototype, evaluate, and productionize the latest AI technologies while balancing innovation with maintainability and performance. - Drive AI-assisted development by implementing agentic workflows, AI coding assistants, and modern AI engineering practices to improve team productivity. - Mentor AI engineers and collaborate closely with game, product, engineering, and infrastructure teams to deliver impactful AI features. Who you would be working with - Production Team to identify and build AI-powered player experiences. - Programming team to design scalable AI architecture and production pipelines. - Junior AI Engineers by providing technical mentorship, code reviews, and best practices. - Cross-functional teams to integrate AI into gameplay and development workflows. Qualifications WHAT YOU NEED TO SUCCEED - Experience building and shipping production AI/ML systems. - Strong Python programming skills with solid software engineering fundamentals (testing, CI/CD, clean architecture, version control). - Deep expertise in Computer Vision, including object detection, classification, tracking, and model optimization using frameworks such as PyTorch or TensorFlow. - Experience designing and operating end-to-end ML pipelines covering data, training, evaluation, deployment, and monitoring. - Experience deploying AI models to resource-constrained environments such as mobile, edge devices, WebGL, or on-device inference. - Hands-on experience with Large Language Models (LLMs), conversational AI, prompt engineering, safety guardrails, and chatbot frameworks. - Experience building AI agent workflows, AI coding assistants, and modern AI engineering tools (e.g., MCP, RAG, agent frameworks, context engineering). - Strong understanding of generative AI workflows for image generation and content creation. - Ability to read academic research and translate it into practical production solutions. WHO YOU ARE - Passionate about applying the latest AI technologies to create meaningful player experiences. - A hands-on technical leader who enjoys taking ownership from research through production. - Curious and forward-thinking, always exploring emerging AI models, tools, and engineering practices. - Strong problem solver who balances innovation with scalability, reliability, and product impact. - Collaborative communicator who can work effectively across engineering, product, design, and game development teams. - A mentor who enjoys helping others grow and raising the technical bar across the team. - Adaptable and pragmatic, able to navigate rapidly evolving AI technologies while maintaining production quality. Additional Information WHAT'S IN IT FOR YOU Benefits - A hybrid working model with 2 days working from home every week. - A range of well-being events and policies to support employees physically, mentally, and emotionally. - Various training packages, including internal training, training sponsorship, and e-learning platforms (iLearn, Udemy, O'Reilly,...). - Opportunities to collaborate and train with Gameloft worldwide experts and develop yourself. - An attractive monthly salary alongside Tet and other performance bonuses. - Minimum 12 days of paid annual leave, plus 5 days of paid sick leave, Christmas leave, Birthday leave, CSR leave,... - 100% coverage of mandatory insurance plus private healthcare insurance. - A monthly allowance to support lunch meals and working-from-home electricity and Internet bills. - Relocation supprt for international candidates joining from overseas. 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: - Asphalt 8 - Coin Rush Trailer - Asphalt Legends Unite - Launch Trailer - Applaydu Season 6 - Bluey's Happy Snaps - Carmen Sandiego - Announcement Trailer - Gangstar Vegas - Gameplay Trailer

👤 HumanFull-timeMid

By GameloftJul 25, 2026

Product Owner AI

Negotiable

Job Description WHAT YOU WILL BE WORKING ON Main challenge As a Product Owner for Gameloft’s AI Platform, you will define and drive the product vision, roadmap, and priorities in close partnership with the AI Technical Lead, who oversees the technical team. You will work with internal stakeholders to identify AI use cases, translate business needs into scalable solutions, and communicate the platform’s strategy and impact to senior leadership. Reporting to the VP Technology Operations & Strategy, you will connect business and technical teams to deliver impactful AI initiatives. What it means on a daily basis Product Strategy & Roadmap - Define, prioritize, and own the AI Platform roadmap and backlog based on business impact, user needs, and technical feasibility. - Partner with business teams to identify, assess, and prioritize AI use cases, while promoting AI literacy and helping stakeholders translate needs into solutions. Stakeholder Engagement & Communication Strategy - Serve as the main point of contact for stakeholders, leading discovery sessions, managing expectations, and communicating priorities, timelines, and trade-offs. - Drive product adoption through onboarding, training, documentation, communication initiatives, demos, workshops, and continuous feedback loops. Governance & Compliance - Define and monitor key product KPIs (adoption, business impact, user satisfaction) and report outcomes to leadership. - Ensure compliance with data privacy, security, AI governance, and regulatory requirements, while tracking platform usage and impact across teams. What success will look like Success will be defined by strong cross-functional relationships enabling continuous feedback, increased Ask AI adoption, and the delivery of flagship AI agents demonstrating clear business ROI Who you would be working with You will collaborate closely with the VP Technology, operations and strategy, enterprise architects, and a technical committee (Co-Tech) responsible for validating decisions with Data Privacy, Legal, and Security. You will also work with business stakeholders to gather and refine needs, and with development teams to translate those needs into built and scalable solutions. Your recruitment journey - First interview (HR): A discussion focused on your experience, motivations, and answer your questions about Gameloft - Second interview (Enterprise Lead Architect): A more technical and strategic exchange to assess your understanding of system design, AI platforms, scalability, and how you collaborate with architecture and technical stakeholders. - Final interview (VP Technology Operations & Strategy): A conversation focused on product vision, strategic alignment, impact, and your ability to drive the AI platform roadmap and deliver measurable business value. Where this role can take you This role can lead to a broader leadership position within the company’s AI transformation, expanding beyond a single product to include platform governance, strategy, and large-scale organizational transformation. Qualifications WHAT YOU NEED TO SUCCEED - Degree in Computer Science, Engineering, Data Science, or related field. - At least 2 years of project management experience, ideally in AI or R&D environments. - Proven experience in Product Management or Product Ownership. - Experience deploying AI solutions into production environments. - Strong understanding of AI/ML concepts, including Generative AI and LLM-based systems. WHO YOU ARE - Strong communicator, able to translate technical topics for non-technical audiences and align stakeholders. - Analytical mindset with the ability to prioritize based on business value, risk, and ROI. - Comfortable working in an internatonal environment, and driving initiatives forward independently. WHAT'S IN IT FOR YOU Benefits - Remote work: Up to 2 days per week, plus up to 1 month of full remote work from anywhere in France and up to 1 month abroad each year. - Access to Wellpass (formerly Gymlib) - Employee Savings Plan (PEG) - Standard benefits: meal vouchers, 50% reimbursement of public transportation costs (Navigo pass), and health insurance Life at Gameloft We believe that great work starts with a stimulating and supportive environment. That's why we offer flexible working hours, unlimited coffee and tea, fresh fruit, and monthly breakfast gatherings to help kick-start the day. Our offices are also designed to encourage collaboration and team spirit, with dedicated spaces for video games and board games, foosball and ping-pong tables, as well as weekly futsal sessions. And of course, you'll have plenty of opportunities to connect through our regular company events! Ready to join the game? Apply now!

👤 HumanFull-timeMid

By GameloftJul 25, 2026

Data Scientist

Negotiable

Job Description WHAT YOU WILL BE WORKING ON Main challenge As a Data Scientist, you’ll dive into massive streams of player data from globally played games, turning behaviors into insights and machine learning models that directly shape how millions of players experience our games and how our titles perform worldwide. What it means on a daily basis You will work on different projects across various game genres, including life simulation and racing games. - Analyze large-scale player data in a fast-paced gaming environment and transform it into clear, actionable insights - Perform advanced feature engineering using large-scale data from our data warehouse - Prototype machine learning models to improve existing performance baselines - Contribute to the development of internal tracking, prediction pipelines, and monitoring systems - Improve experimental capabilities through robust experimental design and statistical methods, including causal inference and A/B testing What success will look like You are able to take ownership of a project end-to-end, from clearly framing and presenting the problem to non-technical stakeholders to delivering actionable insights and recommendations independently. Who you would be working with As a Data Scientist in our Global Data Science and Analytics team, you will be reporting to our Lead Data Scientist and collaborate very closely with other data scientists, data analysts and data engineers in the team. Your recruitment journey - First interview (TA): An initial discussion to explore how the role aligns with your background and to address your main questions. - Test : You will be given a case study to complete. - Second interview (Hiring Manager): A technical interview focused on presenting your test and discussing your approach, reasoning, and methodologies in more depth. - Final interview (VP Data): A conversation to discuss your experience, vision, and how you approach data topics at a broader level. Where this role can take you Grow into a more senior position while taking ownership of increasingly large and complex projects with greater impact on game performance and business outcomes. Qualifications WHAT YOU NEED TO SUCCEED - A first full-time professional experience (CDD/CDI) in tech, gaming, or a similar industry is preferred, as the role requires autonomy and the ability to manage day-to-day responsibilities independently - Proficiency in Python (especially pandas, numpy, scikit-learn, matplotlib, seaborn, etc.) - Strong SQL skills - Experience with Git and machine learning workflows, including experimental design and key statistical methods - Ability to work with large-scale data WHO YOU ARE - Product- and business-oriented, with the ability to connect data work to real game impact - Comfortable working and presenting with non-technical stakeholders, with strong ability to simplify and communicate complex topics at a high level - Able to translate analytical insights into clear, actionable recommendations WHAT’S IN IT FOR YOU Benefits - Hybrid work model : 2 days of remote work per week - Wellpass(ex-Gymlib) - Group saving plan Legal requirements included : health coverage, lunch vouchers, Navigo reimbursement 50% Life at Gameloft - We believe great work happens in a great environment. That’s why we offer flexible working hours, unlimited coffee and tea, fresh fruits, and monthly breakfasts to keep the energy high. - Our offices feature dedicated video and board game areas, plus babyfoot, ping-pong, and weekly futsal sessions, not to mention unforgettable summer and winter parties and regular game or events to celebrate our shared passion ! How to proceed Do you want to join the game ? Apply now ! Additional Information

👤 HumanFull-timeMid

By GameloftJul 25, 2026

Principal Machine Learning Engineer

Negotiable

Company Description Sports betting, gaming and interactive entertainment is changing, and we’re leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it’s your game. So let’s win together. Job Description Entain is hiring a Principal Machine Learning Engineer to join our wider Enterprise DS&AI team that supports our core Brands and Regions. As a Principal Machine Learning Engineer, you will support, design, develop, deploy, and maintain advanced software and infrastructure capabilities within the specialised technical domain of Machine Learning Engineering, MLOps, AIOps, and GenAI enablement. Reporting to the ML Engineering Manager, you will be part of the Enterprise DS&AI Centre of Excellence, focused on creating, scaling, and enhancing machine learning platforms, frameworks, and operational capabilities of significant complexity. You will play a key role in helping Data Science and AI teams move faster, operate more reliably, and deliver production-grade ML and AI solutions across the business. Are you ready to be part of our journey delivering technical excellence and collaborating with one of the world’s biggest online gaming and entertainment groups? What you will do As a Principal ML Engineer, you will: - Lead the design and implementation of scalable MLOps and AIOps frameworks that simplify how Data Science teams develop, train, deploy, monitor, and maintain machine learning models. - Design, build, and maintain reusable ML infrastructure components using AWS services, Snowflake, Prefect, CI/CD pipelines, and other enterprise-grade tools. - Provide technical leadership across ML engineering initiatives, ensuring solutions are robust, secure, scalable, observable, and aligned with engineering best practices. - Support the development of ML platform capabilities covering experimentation, model training, orchestration, deployment, monitoring, retraining, incident management, and governance. - Collaborate closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, Product Owners, and business stakeholders to understand requirements and translate them into practical technical solutions. - Contribute to the design and implementation of GenAI and LLM-based solutions, including enterprise AI assistants, agentic workflows, AI automation, and secure access to foundation models. - Build frameworks, templates, standards, and reference implementations that reduce duplicated effort and accelerate delivery across multiple Data Science teams. - Drive the adoption of modern software engineering practices, including automated testing, infrastructure as code, containerisation, CI/CD, IaC, model versioning, and production monitoring. - Support orchestration and automation of ML workloads using tools such as Prefect, AWS-native services, and event-driven patterns. - Help define architectural standards and technical roadmaps for ML infrastructure, MLOps, AIOps, and GenAI capabilities. - Review technical designs and code, mentor other engineers, and promote high engineering standards across the team. - Identify operational risks, technical debt, and platform limitations, and propose pragmatic improvements. Qualifications What we are looking for We are looking for an experienced technical leader with strong hands-on engineering capability and a deep understanding of how to bring machine learning systems into production. You should have: - Strong experience as a Machine Learning Engineer, MLOps Engineer, AI Platform Engineer, Cloud ML Engineer, or similar role. - Proven experience designing and operating production-grade ML infrastructure and MLOps platforms. - Strong hands-on experience with Cloud providers (AWS), especially services related to machine learning, orchestration, compute, storage, networking, security, and deployment. - Experience with Snowflake as a data platform, including data access patterns, integration with ML workflows, and performance-aware data consumption. - Experience with workflow orchestration tools such as Prefect, Airflow, Dagster, or similar. - Strong experience implementing IaC and CI/CD pipelines for software, data, and machine learning workflows. - Strong Python engineering skills and experience building maintainable, tested, production-ready code. - Experience with containerisation using Docker, and ideally deployment on ECS, EKS, Kubernetes, or equivalent platforms. - Good understanding of model training, batch inference, real-time inference, model monitoring, retraining, and ML lifecycle management. - Experience working with stakeholders to gather requirements, shape technical solutions, and coordinate delivery across multiple teams. - Exposure to GenAI, LLMs, AI agents, RAG architectures, prompt orchestration, or enterprise AI assistant implementations. - Ability to define technical standards, influence architecture, mentor engineers, and guide teams through complex technical decisions. Nice to have Experience with any of the following would be beneficial: - AWS SageMaker, Bedrock, Lambda, ECS, EKS, Step Functions, EventBridge, CloudWatch, IAM, S3, ECR, or related services. - MLflow, model registries, feature stores, model observability, drift detection, and automated retraining patterns. - AIOps use cases such as anomaly detection, incident enrichment, automated ticket creation, event correlation, alert deduplication, or operational intelligence. - Building internal developer platforms, reusable frameworks, project templates, or self-service capabilities for technical teams. - Secure GenAI patterns, including guardrails, access control, PII protection, auditability, and model governance. - Experience in regulated, high-scale, or customer-facing digital environments. - Knowledge of online gaming, entertainment, betting, or high-volume transactional platforms. Key behaviors and capabilities You will be successful in this role if you are: - Technically strong and comfortable operating at both architectural and implementation levels. - Pragmatic, delivery-focused, and able to balance ideal engineering practices with business priorities. - Able to simplify complex technical concepts for different audiences. - Comfortable influencing without always having direct authority. - Proactive in identifying risks, gaps, and opportunities for improvement. - Passionate about creating reusable frameworks and reducing operational friction for other teams. - A strong collaborator who can work across Data Science, Engineering, Cloud, Security, Product, and business functions. - Committed to engineering excellence, automation, reliability, and continuous improvement. Additional Information At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in our London or Gibraltar offices, you can expect to receive great benefits like: - Competitive salaries - Option to buy/ sell and carry over annual leave - Additional days leave to take on Christmas eve or NYE - Option to buy and sell and move over annual leave - Relocation support depending on existing location - Private Healthcare - Hybrid working - Room to grow and develop throughout the business! And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

👤 HumanFull-timeExpert / Staff+

By Entain GroupJul 25, 2026

Data Scientist, Marketing

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a Marketing Data Scientist to join Figma's Data Science team and help drive how we measure, optimize, and scale our marketing investments across the customer journey. In this role, you'll work closely with Paid Marketing, Lifecycle Marketing, Demand Generation, and Growth teams to develop measurement frameworks, improve targeting and segmentation, evaluate marketing effectiveness, and uncover insights that drive business growth. This role sits at the intersection of analytics, experimentation, and strategy. You'll work with marketing leaders to answer some of Figma's most important growth questions, including how we acquire and engage customers efficiently, which marketing investments drive incremental business impact, and how we can improve the effectiveness of our marketing programs at scale. This is a unique opportunity to shape the future of marketing measurement at Figma. You'll help build best-in-class capabilities across attribution, incrementality, experimentation, forecasting, and marketing mix modeling, while partnering with stakeholders across Marketing, Finance, Product, and Research to influence high-impact decisions and accelerate growth. What you'll do at Figma: - Develop and own end-to-end measurement frameworks and attribution models to evaluate the effectiveness of Figma's marketing investments across the full funnel, channels, and regions. - Partner with stakeholders across Brand Marketing, Email, Lifecycle, Demand Gen and Research teams to define success metrics, uncover insights, and drive data-informed decision making. - Develop and apply statistical and machine learning models to solve key marketing challenges, including audience targeting, creative effectiveness, customer engagement, and campaign performance measurement. - Assess the incremental impact of marketing investments across channels to inform budget allocation and growth strategies. - Build dashboards, reporting frameworks, and analytical tools that help stakeholders understand brand performance and business impact. - Translate complex analyses into clear recommendations for marketing leaders and executive stakeholders. - Drive foundational improvements in data quality, measurement infrastructure, and reporting capabilities across the marketing organization. <li

👤 HumanFull-timeSenior

By FigmaJul 25, 2026

AI Transformation Manager

Negotiable

Company Description Sports betting, gaming and interactive entertainment is changing, and we’re leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it’s your game. So let’s win together. Job Description This role is part of the Entain Transformation team within the Commercial function. In a nutshell, Transformation identifies and solves complex business problems that involve multiple stakeholders across pillars (Sports, Gaming, Compliance) and channels (Digital, Retail), and which support the execution of the UK commercial strategy. We constantly work towards ensuring our customers have best-in-class experiences whilst using Entain products. The working environment is fast-paced, and challenging - Transformation is a small team that aims to maintain an out-sized impact on the business. AI Transformation Manager is a highly collaborative role working cross-functionally across Sports, Gaming, Marketing, Product, Technology, Trading, Customer Services, Procurement and Finance. This role is responsible for leading and owning the AI agenda across the Commercial function. The successful candidate will identify, prioritise, and implement practical AI opportunities that deliver measurable commercial value, operational efficiency, and enhanced customer outcomes. The role requires a combination of deep technical understanding of AI technologies and strong business leadership to translate AI capabilities into commercially viable use cases, while working with senior stakeholders across the organisation to shape strategy, define problems, drive adoption, and deliver outcomes. This is both a strategic and hands-on role, requiring the ability to move from concept through to execution and operational embedding. Key Responsibilities: AI Agenda: - Own and evolve the AI agenda within the Commercial organisation, ensuring alignment with broader business strategy and priorities. - Apply deep subject matter expertise in AI and data-driven technologies to identify high-value business opportunities. - Partner with stakeholders across Commercial, Product, Technology and Customer functions to gather, structure, and prioritise problem statements and use cases with measurable commercial impact. Build an AI opportunity pipeline, balancing strategic transformation initiatives with quick-win operational improvements. Implementation: - Lead the implementation of AI initiatives from proof-of-concept through to scaled business adoption. - Help ensure AI capabilities become embedded into business processes, decision-making, and customer experiences. This will include educating and upskilling colleagues on the application of AI tools and capabilities in both customer-facing, and day-to-day working practices. - Work closely with technology teams to define requirements, implementation approaches, governance, and success measures. - Monitor performance and effectiveness of AI solutions and continuously optimise where appropriate. Stakeholder engagement: - Act as the central point of leadership and coordination for AI-related initiatives within Commercial. - Build relationships with senior stakeholders to align priorities, communicate progress, and influence decision-making. - Facilitate cross-functional collaboration to ensure alignment between business needs and technology teams Qualifications - Strong understanding of AI technologies - Experience identifying and delivering AI-driven business transformation initiatives within a complex organisation. - Ability to bridge technical and non-technical audiences, translating business problems into practical technology solutions. - Strong commercial acumen with the ability to assess value, prioritise opportunities, and drive measurable business outcomes. - Experience engaging with senior executives. - Strong analytical thinking, problem-solving, and decision-making capability. - Experience establishing governance or frameworks for technology-enabled transformation. Additional Information At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in the UK, you can expect to receive great benefits like: - Generous group bonus scheme - Hybrid working – 2 days in the office - Private medical insurance - Pension scheme – matched to 6% - Ability to buy and sell holiday - Free subscription to wellbeing app Unmind - Additional “It’s Your Game” day off to use at either Christmas or New Year - Entain & Enhance days – 2 paid days off to focus on your professional or personal development - Share save scheme And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supportive community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. At Entain, we do what's right. It's one of our core values and that's why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. LI-CR2

👤 HumanFull-timeMid

By Entain GroupJul 25, 2026

ML Engineer Manager, AI Conversation Platform

Negotiable

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities - Driving an ambitious vision for AI/ML that benefits our users - Setting the technical & process direction for the team based on business goals - Brainstorm and coordinate product integrations with partner teams - Proposing new ideas and building prototypes - Be an integral part of a larger ML community internally & externally - Hire & develop a world-class team to deliver high-quality ML systems. - Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements - Have at least 4 years of experience managing ML teams - Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. - Lead by example in high-growth, high-impact, ambiguous environments - Have experience building & shipping ML systems. - Hold yourself and others to a high bar when working with production systems. - Thrive in a collaborative cross-functional environment Preferred qualifications - Experience in shipping LLM & RAG systems

👤 HumanFull-timeMid

By StripeJul 25, 2026

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