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Updated 14 Nov 2026, 04:41 UTC

Engineering Manager - AI & Automation

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. Primary purpose The Engineering Manager for the AI & Automation Squad is accountable for building and leading an engineering team that delivers scalable, secure, and business-driven AI and automation solutions across enterprise business applications. Key responsibilities - Lead and grow the AI & Automation engineering squad within the Business Applications Tribe. - Own engineering delivery, technical quality, reliability, and operational excellence for AI and automation solutions. - Establish modern engineering practices aligned with Enterprise Engineering, including a product mindset, DevOps, and platform thinking. - Partner closely with Product Management, Business Application Leads, Architecture, Security, and Data teams. - Drive adoption of AI, automation, and low-code platforms to improve efficiency and decision-making across the organization. - Ensure solutions are scalable, compliant, and reusable across Finance, HR, and other business domains. What you will do - Build, coach, and performance-manage engineers, including AI engineers, automation engineers, and low-code developers. - Define the squad mission, roadmap, and technical priorities in alignment with tribe and enterprise strategy. - Oversee the design and delivery of: - AI-powered assistants and copilots - Process automation, including workflow automation, RPA, and orchestration - Intelligent integrations across Google, Microsoft Dynamics 365, Power Platform, and other enterprise systems - Establish and enforce engineering standards for coding, testing, security, monitoring, and CI/CD. - Embed responsible AI practices, data governance, and compliance into solution design and delivery. - Manage dependencies, risks, and technical debt. - Act as the escalation point for delivery, quality, and operational issues. - Support hiring, onboarding, and capability development as the squad grows. Success measures (KPIs) - Delivery predictability, including on-time and on-scope delivery of squad commitments. - Engineering quality, including reliability, defect rates, and maintainability. - Platform scalability and reuse, including shared components and automation reuse rate. - Team health and engagement. - Compliance and security adherence, including audit findings and policy violations. - Experience managing a team of 3 engineers, with plans to scale through hiring. - Experience building automations and AI agents in enterprise contexts. Experience - 5+ years of experience in software or platform engineering roles. - 2+ years of people leadership experience. - Strong experience with enterprise business applications, preferably including: - Microsoft Dynamics 365, including Finance, HR, CE, or Business Central - Low-code platforms such as Power Platform, including Power Automate, Power Apps, and Copilot Studio - Google AppSheet - n8n - UiPath - Hands-on understanding of automation patterns, including workflow automation, RPA, and event-driven automation. - Working knowledge of AI and ML concepts and applied AI in enterprise contexts. - Experience operating in product-centric or platform teams. - Solid grasp of cloud platforms, preferably Azure or AWS. - Strong understanding of DevOps practices and CI/CD pipelines. - Experience with API-based integrations and enterprise architecture principles. - Experience working in regulated environments with security, privacy, and compliance requirements. Soft skills - Strong people leader with a coaching and growth mindset. - Excellent communication skills across technical and non-technical audiences. - Business-oriented thinking with the ability to connect engineering outcomes to business value. - Comfortable navigating ambiguity and driving change in transformation environments. - Collaborative and pragmatic problem-solver. - Ability to influence without authority across tribes and functions. - High ownership, accountability, and a bias for action. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

👤 HumanFull-timeSenior

By SuperbetMay 7, 2026

AI Designer

Negotiable

Team Name: Unannounced Project Job Title: AI Designer Requisition ID: R027105 Job Description: Welcome, heroes! Overwatch Rush is a new top-down Hero shooter designed specifically for mobile, set in the Overwatch universe. Overwatch Rush is being developed by a dedicated team with deep mobile experience. Join us as we expand the Overwatch universe and bring fresh new adventures to players across all platforms! We are looking for an AI Designer to work on OverWatch Rush for Blizzard. The bots you design will need to join the battle as both player allies and enemies offering a carefully balanced challenge for players as they improve their skills. If you are passionate about creating AI which offers great gameplay experiences that delights millions of players, then this is the ideal role for you. We’re an inclusive team that welcomes new members with unique perspectives. We care deeply about the games we build and how we create them. We can't wait to meet you!! Responsibilities - Design & Implementation: Design and build AI behaviors, including enemy positioning, to deliver dynamic, fun gameplay experiences. - Hands-on Building: Be technical enough to be hands-on with building AI behaviors, bot coordination and proficiency yourself, utilizing visual scripting and other tools. - System Definition: Help improve and define new AI systems for the title. - Documentation & Collaboration: - Keep the AI documentation clear and tidy. - Chat with other teams (designers, engineers) to get feedback and collaborate. - Live Service Ready: Make sure the AI handles all the new maps, modes, and ongoing gameplay balancing for a live service title. - Technical Teamwork: Work with the tech team to implement the AI using the tools you help design. - Tuning & Balance: - Fine-tune the AI difficulty so it's challenging but fair. - Tweak AI using data and playtest feedback. - Industry Knowledge: Stay current on the latest AI industry standards, concepts and tech. Minimum Requirements - Systemic Thinker: You must be a strong systemic thinker, able to see the big picture of how AI impacts the game ecosystem. - Experience: Real-world experience designing and implementing game AI (shipped titles are a bonus!). - User Stories: Know-how with user stories to define the what and why of AI. - Technical Skills: Strong technical skills: visual scripting and deep knowledge of AI decision-making (like Utility AI, state machines, behavior trees…). - Communication: Great communication—you need to talk to both tech wizards and non-tech folks. - Balancing: Understand gameplay balancing and how to tune AI for a great player experience. - Collaboration: Be a good team player—able to give and take constructive feedback. Pluses - Experience with games that have a roster of heroes with different roles. - A tech background and experience working closely with engineers. - Familiarity with Agile and iterative design (i.e., fast design cycles). - Experience with combat, non-combat, or procedural AI. - Knowledge of tactical/spatial queries. - Experience with Unity and visual scripting. - Know how to optimize AI for good performance. Your Platform Best known for iconic video game universes including Warcraft®, Overwatch®, Diablo®, and StarCraft®, Blizzard Entertainment, Inc. (www.blizzard.com), a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry’s most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net®, Xbox, PlayStation, Nintendo Switch, iOS, and Android. Our World Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty®, World of Warcraft®, Overwatch®, Diablo®, Candy Crush™ and Bubble Witch™. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet! Our ability to build immersive and innovate worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics Applications for this role will be reviewed from w/c 27th April

👤 HumanFull-timeSenior

By Blizzard EntertainmentJun 29, 2026

Senior / Staff Platform Engineer, ML & Data

Negotiable

Mistplay est l'application de fidélité n°1 pour les joueurs mobiles. Notre communauté de millions de joueurs mobiles engagés utilise Mistplay pour découvrir de nouveaux jeux et gagner des récompenses. Les joueurs sont récompensés pour le temps et l'argent qu'ils consacrent aux jeux et peuvent échanger ces récompenses contre des cartes cadeaux. Mistplay a pour mission d'être le meilleur moyen de jouer à des jeux mobiles pour tous, partout dans le monde ! Téléchargez Mistplay sur le Google Play Store ici et suivez-nous sur Instagram, Twitter et Facebook. 📍 Veuillez noter : Au Canada 🇨🇦, Mistplay suit un modèle hybride de 2 jours/semaine en bureau à Toronto (400 University Ave) & Montréal (1001 Blvd. Robert-Bourassa) Mistplay is the #1 loyalty app for mobile gamers. Our community of millions of engaged mobile gamers come to Mistplay to discover new games to play and earn rewards. Gamers are rewarded for their time and money spent within the games and can redeem those rewards for gift cards. Mistplay is on a mission to be the best way to play mobile games for everyone everywhere! Download Mistplay on the Google Play Store here and follow us on Instagram, Twitter and Facebook. 📍 Please Note: In Canada 🇨🇦, Mistplay follows a 2 days/week in-office hybrid model in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa) English description is below ⬇️ Aperçu du poste Relevant du vice-président de la plateforme de données et d'apprentissage automatique (Data and Machine Learning Platform), l'ingénieur de plateforme (niveau Staff) en données et AA est responsable de la définition et de la mise à l'échelle de la plateforme unifiée qui alimente l'ensemble du cycle de vie des données et de l'AA chez Mistplay — de l'ingestion brute à la diffusion de modèles en temps réel. Ce rôle ne concerne pas la modélisation ou l'analyse; il s'agit de prendre en charge la plateforme de données et d'AA en tant que système unique et cohérent à grande échelle. Vous définirez l'orientation technique sur l'ensemble du cycle de vie, prendrez en charge les composants critiques de la plateforme de bout en bout et établirez les meilleures pratiques qui permettent aux données et aux modèles de passer de l'expérimentation à un impact commercial en temps réel, avec rapidité et confiance. Vous agirez à titre de leader technique auprès des équipes, en partenariat avec les équipes de science des données, d'ingénierie des données et de backend, afin de réduire la latence des décisions, d'augmenter le débit pour les charges de travail analytiques et d'AA, et d'améliorer la fiabilité des données, de l'ingestion à l'inférence. Ce que vous ferez Être le moteur principal et l'expert dans la conception, la construction et l'exploitation de la plateforme unifiée de données et d'AA en tant que système unique : • Infrastructure d'ingestion et de pipeline - définir des systèmes d'ingestion évolutifs et fiables pour les sources de données par lots et en continu; établir des normes pour l'évolution des schémas, les contrats de données et la lignée de bout en bout; optimiser la stratégie de calcul et de coûts pour diverses charges de travail. • Architecture d'entrepôt de données et de lac de données (Lakehouse) - concevoir la plateforme de données analytiques de base; définir les stratégies de la couche de stockage, le partitionnement et les modèles d'accès; établir des normes de modélisation des données, de performance et de rentabilité qui servent à la fois les consommateurs analytiques et d'AA. • Couche de transformation et d'orchestration - diriger la conception de systèmes de transformation évolutifs et maintenables (par exemple, dbt, Spark); définir des normes d'orchestration et la gestion des dépendances; appliquer des contrats de qualité des données et des cadres de test qui alimentent à la fois les analyses en aval et la formation de modèles d'AA. • Plateforme de fonctionnalités (Feature Platform) - diriger la conception de systèmes de fonctionnalités (features) réutilisables et de haute qualité, faisant le pont entre les couches de données et d'AA; appliquer des contrats de cohérence hors ligne/en ligne; normaliser les définitions de fonctionnalités, la propriété et la découvrabilité pour les consommateurs analytiques et de modèles. • Infrastructure de formation - définir des systèmes de formation et de remplissage (backfill) évolutifs et reproductibles; établir des normes pour le versionnage des ensembles de données, la lignée et la reproductibilité; optimiser la stratégie de calcul pour les charges de travail par lots et distribuées. • Inférence et diffusion en temps réel - concevoir des systèmes de diffusion de modèles à faible latence et haute disponibilité; définir des stratégies de déploiement (canary, shadow, A/B); établir des modèles d'auto-mise à l'échelle, de routage du trafic et d'isolation des pannes à grande échelle. • Observabilité et fiabilité (de bout en bout) - établir des normes pour la qualité des données, la dérive des fonctionnalités et la surveillance des performances des modèles sur l'ensemble du cycle de vie; définir les SLO (objectifs de niveau de service) et les pratiques opérationnelles; diriger les cadres de réponse aux incidents et la culture de post-mortem couvrant les systèmes de données et d'AA. • Outils et évolution de la plateforme - évaluer, intégrer et rationaliser les composants de la plateforme de données et d'AA (par exemple, Kafka, dbt, Spark, MLflow, magasins de fonctionnalités, systèmes de diffusion); diriger des migrations à grande échelle et la simplification de la plateforme avec un minimum de perturbations. • Leadership technique et stratégie (portée Staff) - définir l'orientation architecturale de la plateforme unifiée; définir la stratégie à long terme et favoriser l'alignement inter-équipes; identifier et prioriser les investissements à plus fort effet de levier liés aux résultats commerciaux. Ce que vous apporterez • Expérience de plateforme de bout en bout - 10 ans et plus dans la construction et l'exploitation de plateformes de données et d'AA en production; propriété avérée de systèmes couvrant le cycle de vie complet, de l'ingestion à l'inférence et à la prise de décision en temps réel. • Génie logiciel - forte maîtrise de Python, Scala ou Go; expérience éprouvée dans la construction et l'évolution de systèmes distribués complexes avec une fiabilité, une maintenabilité et des normes d'ingénierie élevées. • Maîtrise des systèmes de données et d'AA - compréhension approfondie des architectures de plateforme de données (entrepôt, lac de données, pipelines) et de plateforme d'AA (magasins de fonctionnalités, formation, diffusion); capacité à évaluer les compromis entre latence, cohérence, fraîcheur et débit dans un système unifié. • Plateforme de fonctionnalités et diffusion - forte expérience dans la conception et l'exploitation de magasins de fonctionnalités avec cohérence hors ligne/en ligne; expertise approfondie dans les architectures de diffusion de modèles (temps réel, par lots, sans serveur) avec livraison progressive (A/B, canary, shadow). • Pipelines en continu et par lots - forte expérience des systèmes en continu (par exemple, Kafka, Flink) et des cadres par lots (par exemple, Spark, dbt); compréhension claire des compromis entre latence, débit et coût pour les charges de travail analytiques et d'AA. • Observabilité et opérations - forte rigueur opérationnelle dans les systèmes de données et d'AA (métriques, journaux, traces, qualité des données); expérience dans la définition des SLO, la planification de la capacité, l'optimisation des coûts et la direction de la réponse aux incidents sur l'ensemble de la pile de la plateforme. • Leadership technique (niveau Staff) - définit l'orientation technique des équipes; encadre les ingénieurs; dirige les revues de conception et les décisions architecturales couvrant les données et l'AA; équilibre la livraison à court terme avec la santé de la plateforme à long terme. • Collaboration et influence - fonctionne efficacement avec les équipes de science des données, d'analyse, de DevOps et de backend; influence sans autorité; traduit les besoins commerciaux en une stratégie de plateforme unifiée et en exécution dans les domaines des données et de l'AA. English Job Posting: Role Overview Reporting to the VP of Data and Machine Learning Platform, the Staff Platform Engineer, Data & ML is responsible for defining and scaling the unified platform that powers the full data and ML lifecycle at Mistplay - from raw ingestion to real-time model serving. This role is not about modeling or analysis - it is about owning the data and ML platform as a single, cohesive system at scale. You will set technical direction across the entire lifecycle, own critical platform components end-to-end, and establish best practices that enable data and models to move from experimentation to real-time business impact with speed and trust. You will operate as a technical leader across teams, partnering with Data Science, Data Engineering, and Backend to reduce decision latency, increase throughput across both analytical and ML workloads, and improve data trust from ingestion through inference. What You'll Do Be the main driver and expert for designing, building, and operating the unified data and ML platform as a single system: • Ingestion & Pipeline Infrastructure - define scalable, reliable ingestion systems for batch and streaming data sources; drive standards for schema evolution, data contracts, and end-to-end lineage; optimize compute and cost strategy across diverse workloads. • Data Warehouse & Lakehouse Architecture - architect the core analytical data platform; define storage layer strategies, partitioning, and access patterns; establish standards for data modeling, performance, and cost efficiency that serve both analytical and ML consumers. • Transformation & Orchestration Layer - lead design of scalable, maintainable transformation systems (e.g., dbt, Spark); define orchestration standards and dependency management; enforce data quality contracts and testing frameworks that feed both downstream analytics and ML training. • Feature Platform - lead design of high-quality, reusable feature systems bridging the data and ML layers; enforce offline/online consistency contracts; drive standardization for feature definitions, ownership, and discoverability across both analytical and model consumers. • Training Infrastructure - define scalable, reproducible training and backfill systems; drive standards for dataset versioning, lineage, and reproducibility; optimize compute strategy across batch and distributed workloads. • Real-Time Inference & Serving - architect low-latency, highly available model serving systems; define deployment strategies (canary, shadow, A/B); establish patterns for autoscaling, traffic routing, and failure isolation at scale. • Observability & Reliability (End-to-End) - establish standards for data quality, feature drift, and model performance monitoring across the full lifecycle; define SLOs and operational practices; lead incident response frameworks and postmortem culture spanning data and ML systems. • Platform Tooling & Evolution -evaluate, integrate, and rationalize platform components across the data and ML stack (e.g., Kafka, dbt, Spark, MLflow, feature stores, serving systems); lead large-scale migrations and platform simplification with minimal disruption. • Technical Leadership & Strategy (Staff Scope) - set architecture direction across the unified platform; define long-term strategy and drive cross-team alignment; identify and prioritize highest-leverage investments tied to business outcomes. What You'll Bring • End-to-End Platform Experience - 7 + years (10+ for Staff level) building and operating production data and ML platforms; proven ownership of systems spanning the full lifecycle from ingestion to real-time inference and decisioning. • Software Engineering - strong proficiency in Python, Scala, or Go; track record of building and evolving complex distributed systems with high reliability, maintainability, and strong engineering standards. • Data & ML Systems Depth - deep understanding of both data platform (warehousing, lakehouse, pipelines) and ML platform (feature stores, training, serving) architectures; ability to reason about trade-offs across latency, consistency, freshness, and throughput in a unified system. • Feature Platform & Serving - strong experience designing and operating feature stores with offline/online consistency; deep expertise in model serving architectures (real-time, batch, serverless) with progressive delivery (A/B, canary, shadow). • Streaming & Batch Pipelines - strong experience with streaming systems (e.g., Kafka, Flink) and batch frameworks (e.g., Spark, dbt); clear understanding of trade-offs across latency, throughput, and cost for both analytical and ML workloads. • Observability & Operations - strong operational rigor across data and ML systems (metrics, logs, traces, data quality); experience defining SLOs, capacity planning, cost optimization, and leading incident response across the full platform stack. • Technical Leadership (Staff Level) - sets technical direction across teams; mentors engineers; drives design reviews and architectural decisions spanning data and ML; balances short-term delivery with long-term platform health. • Collaboration & Influence - operates effectively across Data Science, Analytics, DevOps, and Backend; influences without authority; translates business needs into unified platform strategy and execution across both data and ML domains. *Nous remercions tous(tes) les candidat(e)s. Le genre masculin a été utilisé dans le but d'alléger le texte. Nous souscrivons au principe de l’équité en matière d’emploi. Pourquoi choisir Mistplay ? Nous faisons tout pour rendre notre environnement de travail aussi accueillant et plaisant que possible ! Un poste chez Mistplay s’accompagne de toute une série d'avantages que nous proposons en mode virtuel ou présentiel : déjeuners d'équipe, soirées jeux, événements à l'échelle de l'entreprise, et bien plus encore. Notre culture est profondément ancrée dans la croissance et soutenue par une équipe de personnes intelligentes, dynamiques et enthousiastes. Nous utilisons les données pour apprendre, améliorer et adapter en permanence. Nous favorisons un environnement dans lequel chacun est encouragé à partager ses idées, à repousser les limites, à prendre des risques calculés et à voir ses visions se concrétiser. Why Mistplay? We strive to make our work environment as inviting and fun as possible! Working at Mistplay is coupled with a whole array of perks that we've adopted virtually and in-person: Team Lunches, game nights, company-wide events, and so much more. Our culture is deeply rooted in growth and upheld by a team of smart, dynamic, and enthusiastic people. We utilize data to constantly learn, improve, and adapt. We foster an environment where everyone is encouraged to share their ideas, push boundaries, take calculated risks, and witness their visions come to life.

👤 HumanContractExpert / Staff+

By MistplayJun 6, 2026

Data Engineer (Data Science Focused)

Negotiable

Data Engineer (Data Science Focused) ComeOn Group · St. Julian's, Malta (Hybrid) · Full-time · Posted 2026-04-09 Workplace: hybrid Department: Analytics Description Are you ready to move beyond traditional ETL and build the foundational data systems for data science utilising high-impact machine learning? We're seeking a Data Engineer to design, build, and maintain the near real-time and batch data flows that power our production models. Responsibilities: - Collaborate closely with Data Scientists to design, build, and maintain robust, scalable, and reliable batch and streaming data pipelines, serving high-volume data essential for training and deploying data science and ML models in our cloud environment. - Implement cutting-edge data engineering best practices to guarantee the quality, consistency, and lineage of crucial model training data and feature sets, ensuring high reliability for production data science/ML systems. - Troubleshoot and resolve complex issues with data feeds, ensuring uninterrupted flow and availability. - Establish and maintain strong communication channels between Business Stakeholders, Data Scientists and Engineering teams regarding the strategic development and deployment of machine learning projects and the effective use of company data. - Assume full ownership of the data science data development lifecycle, from raw data ingestion to production model data serving, and possess the ability to work independently when necessary. At ComeOn, we've embraced a Hybrid Work model, giving our employees the flexibility to work some days at home. Our offices are thoughtfully designed to support this model, featuring practical workspaces for focused efforts and collaborative zones for dynamic creative exchanges. We believe in the power of collaboration to drive innovation and success. While our offices are known for their vibrant atmosphere, rest assured that our primary focus is on achieving results together. We prioritize efficiency and maintain a balance between hard work and camaraderie. When you visit our offices, expect a warm welcome and professional support. Choose ComeOn for your next career move, and experience a workplace that values productivity, teamwork, and the spirit of collaboration. At ComeOn Group we value diversity, and we take concrete action to ensure fairness in our recruitment process. We are committed to assess candidates on their merit without discriminating against any applicant for whatever reason that is protected by law. We truly value you, as you are. Want to know more about us just visit our website www.comeon-group.com or any of our social media channels to take a deep dive into our culture! LinkedIn Instagram Facebook Glassdoor Requirements About you: - Experienced data engineer with 3+ years in data integration & real time streaming - Experience in programming with Python and SQL, potentially Java - Understanding data warehousing concepts, schema design (star schema, snowflake schema, denormalization), and optimization techniques - Experience in distributed frameworks like Spark or Flink - Experience with GCP (preferred) or AWS Cloud data processing solutions - Experience with BigQuery, Pub/Sub, Dataflow, Datastream is a plus - Excellent command of spoken English - Keen attention to detail and data quality - Comfortable working in a fast-paced environment whilst interacting with a variety of different disciplines - Proven ability to prioritise and deal with problems systematically and provide clear communications regarding the issues, resolution times and solutions And then some nice to haves: - Hold an academic degree in a quantitative discipline such as computer science or mathematics - Experience within the iGaming industry and involved in machine learning projects (e.g. personalised Sportsbook and Casino recommendations) - Previous working experience as machine learning engineer will be considered an asset - Experience with Airflow Experience in business analysis and requirements gathering Benefits So what can you expect from ComeOn as a place of work? - A competitive remuneration package inc. a company bonus scheme! 💰 - Fantastic quarterly team events and weekly company events 😎 - A one-time bonus to help you set up a comfortable workstation at home (we’re truly Hybrid!) 🌎 - On top of our Hybrid work arrangement, up to 40 days a year to work fully remote from anywhere - €250 Annual Wellbeing Allowance (Claimable after probation). - A comprehensive, International private Health Insurance. - A €250 One-time Hybrid Allowance to help you set-up your home office. - Breakfast at the office on Tuesdays. - Lunch at the office on Mondays and Wednesdays 🤤 Apply Apply at ComeOn Group --- Powered by Workable

👤 HumanFull-timeMid

By ComeOn GroupJun 10, 2026

Technical Producer II - League Studio, Machine Lea...

Negotiable

As Technical Producers at Riot, we lead passionate technical teams to deliver products and services that maximize developer and player value. We guide development, clear blockers, and push projects across the finish line while making sure that our teams are sustainable and have a great collaborative environment. As a Technical Producer in the Tech Foundations organization in League Studio, you will be supporting the Game Machine Learning team, a team of data scientists working on machine learning and data-powered products across both League of Legends and Teamfight Tactics. You will partner with Product and Machine Learning Engineering Leads in the development of products such as matchmaking, recommenders, and personalization systems. You will set team direction to ensure project objectives are met, manage the day-to-day work, be the custodian of delivery processes internal to the team, and ensure that collaboration with external teams runs smoothly. You will oversee delivery, build work systems, manage product backlogs, maintain project execution, and provide business unit leadership with visibility on complex deliverables. You will also ensure the team works at a sustainable pace and continuously improves. You will report to the Manager of Technical Production on the team. Responsibilities: - Run day-to-day team production operations and development processes for the team - Facilitate the team in making clear, actionable commitments, and ensure successful delivery through effective project management, leveraging available data and tools - Troubleshoot delivery risks by reviewing release plans and team roadmaps, identifying optimization opportunities - Own the work system for the team (rituals, tracking, reporting, and partner management) - Work with data scientists and machine learning engineers to understand technical risks and complications, communicating these effectively to stakeholders and dependency teams - Advocate for and clearly communicate the product direction set by your Product partner - Partner with Machine Learning Engineering Lead and Product lead to resource projects, monitor team health, and align on team composition, ensuring the team is set up to deliver against priorities successfully - Proactively contribute ideas across teams and disciplines, expanding impact beyond your immediate area of ownership Required Qualifications: - Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience with strong technical knowledge and problem-solving skills - Minimum of 4 years of experience as a Producer, Product Manager, or Development Manager on medium to large teams working on complex technical problems - Experience working closely with Machine Learning teams, especially Data Scientists and Machine Learning Engineers - Experience applying Agile and Lean development processes such as Scrum, Kanban, or Extreme Programming - Experience managing the priority of team and product backlogs, writing user stories, and leading estimation and scoping - Knowledgeable in Jira use, configuration, and limitations - Experience working in a continuous delivery/deployment environment - Skilled at managing diverse stakeholders, building alignment across teams, and navigating complex organizational dynamics to move initiatives forward in an environment with multiple priorities and perspectives - Understand product management and how to navigate around constraints while finding balanced solutions Desired Qualifications: - Experience working with game teams building platform systems, game features, or game experiences - Experience working on or with a team that deploys machine learning systems at scale For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

👤 HumanFull-timeMid

By Riot GamesMay 7, 2026

AI Agent Developer

Negotiable

AI Agent Developer Magic Media · Athens, Greece (Hybrid) · Contract · Posted 2026-04-09 Workplace: hybrid Department: Mariia Cyrex Description Cyrex, a Magic Media company, is a media and tech start-up powered by creativity and innovation. We work with leading developers and publishers in the games industry, providing support and solutions designed around individual needs and carried out by global experts. We produce high-quality results by constantly staying at the forefront of modern technology and cutting-edge processes and practices. The best of our team are known for their strong initiative, not just in taking care of their day-to-day responsibilities but in helping identify ways to build, grow, and do more in their work. We’re currently looking for a dynamic addition to the team to help work on exciting cybersecurity and development projects for the video games industry. The ideal candidate will work with cross-functional teams to develop critical products and services for our clients and offer excellent technical support to our teams. If you’re an enthusiastic, motivated, and lateral thinker, our team is waiting to meet you! Responsibilities - Be at the forefront of autonomous pentesting, by developing our agentic penetration testing tool - Implement agentic workflows that conduct an application penetration test from A-Z - Benchmark results and improve the logic - Provide technical support for penetration testing teams who use the tool. Requirements - A technical or university level qualification, preferably in Computer Science. Equivalent combination of education and experience may be substituted. - Excellent written and oral communication skills (especially in the English language) - 3+ years of writing products in python 3. - Experience with at least one agentic framework (eg LangGraph, AutoGen, CrewAI) or comparable orchestration patterns - Understanding of key agentic components like memory management, prompting and tool design, RAG fundamentals, multi-agent orchestration and prompt injection defenses - Knowledge about evaluating agents using benchmarks and success metrics A working knowledge in - Offensive security, including common vulnerability knowledge and experience with web and mobile app testing - Familiarity with common tooling such as: Burp Suite, OWASP ZAP, Nuclei, sqlmap, nmap Benefits - An opportunity to hone and improve your skills by applying them to a diverse variety of gaming projects - The chance to work closely with a team of like-minded creative professionals in a fast-paced, multicultural environment on a variety of gaming projects - A competitive salary - Ongoing training and professional self-improvement opportunities If this sounds interesting to you and you’d like to be at the forefront of cybersecurity, we’d love to hear from you. Apply Apply at Magic Media --- Powered by Workable

👤 HumanContractMid

By Magic MediaJun 16, 2026

Data Scientist (Mid/Senior)

Negotiable

Data Scientist (Mid/Senior) Arkadium · Lisbon, Portugal (Hybrid) · Full-time · Posted 2026-04-08 Salary: EUR 45,000–65,000 Workplace: hybrid Department: Business Operations Description At Arkadium our purpose is to have fun while creating fun - and that’s exactly what we’ve been doing for 20 years. We’re the creators behind the world’s most-played games. From the Solitaire that came on your Windows machine, to hundreds of other games you’ve come to know and love - you can find our games on Arkadium.com, iOS, Android, and lots of other big sites worldwide. As a proud Evergreen business our values of Fierce Drive, Positive Energy and Living Full Lives are the driving force behind how we run and the choices we make. We’re privately held (aka stable and reasonable about growth), founder-led (aka passionate about our craft) and we consistently rank as a “Best Place to Work” (aka not your typical games company). We’ve been recognised by "Happiness Works 2023, 2024, 2025" in Portugal, "Crain's Best Places to Work 2022" and "Great Place to Work 2022 and 2023" in New York! Interested in becoming an Arkadian? We’d love to hear from you! Overview We’re looking for a Data Scientist curious about AI and games to help us explore and build practical applications of Generative AI and machine learning across our games (or gaming platforms). In this role, you will experiment with existing LLMs and fine-tuning techniques to show how valuable our data can be in improving AI models. Experience with Reinforcement Learning is also valuable. You’ll also use traditional machine learning models to improve player experience, build internal tools, and support teams such as product and marketing with better insights and optimizations. You will work closely with engineers, product managers, and analysts to turn ideas into scalable AI solutions used across platforms with millions of players. Important note: we’re open to candidates from mid-level to senior, as long as you bring strong passion about AI and a desire to experiment and build impactful systems. What You’ll Do - Explore and implement Generative AI solutions using existing LLMs. - Experiment with LLM fine-tuning and adapting models for practical use cases. - Experiment with Reinforcement Learning (RL) models and RL environment creation. - Apply traditional machine learning techniques to problems such as player behavior, recommendations, or marketing optimization. - Prototype and evaluate new AI-driven features and tools. - Work with cross-functional teams to translate business needs into data science solutions. Requirements What We’re Looking For - Strong background in data science and machine learning. - Experience with fine-tuning open-source Large Language Models and evaluating them and/or experience with RL models/environments. - Solid knowledge of traditional ML techniques and experimentation. - Ability to write efficient code (typically Python). - Curiosity and passion for AI experimentation and games. Nice to Have - Experience in gaming, consumer platforms, or large-scale data environments. Benefits We offer: - Competitive compensation with structured performance and career development check-ins - Health insurance - Additional budget for conferences you are interested in - Personal development budget to fuel your passions and desire to learn (Arkadians are taking classes in not only Excel and leadership, but also interior design and even swimming!) - Time off from Christmas Eve through New Year's Day so we can all enjoy the holidays - A unique culture of transparency, true teamwork and fun - Summer Fridays: Fridays off throughout the Summer to have more fun in the sun! Work Location & Hybrid Model (Portugal) In Portugal, we operate under a hybrid work model that blends remote and in-office work. Employees may work from home or from the office depending on team and individual needs, ensuring both flexibility and strong collaboration. If you reside in the Lisbon metropolitan area: you will be expected to work onsite one to three times per week. If you are based outside of Lisbon: a different onsite cadence will apply. Apply Apply at Arkadium --- Powered by Workable

👤 HumanFull-timeSenior

By ArkadiumMay 14, 2026

Game AI Junior Engineer - Varsapura

Negotiable

Who Are We? HoYoverse is committed to providing immersive virtual world experiences to players around the world. We have brought fans popular games including Genshin Impact, Honkai: Star Rail, Honkai Impact 3rd, Tears of Themis, and Zenless Zone Zero, as well as a wide range of entertainment content. Community is at the heart of everything we do. We are devoted to engaging fans and fostering an enthusiastic and inclusive global community that provides access and encouragement for people to share their passion for ACG (Animation, Comics, and Games) through their own creativity and skills. Pushing the boundaries of imagination, we consistently explore cutting-edge game development technologies, and have accumulated leading technical capabilities in cel shading, cloud gaming, and other fields. In the future, we will continue to expand our content production, technology research, and publishing duties through operations in offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas. When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy . This policy provides detailed insights into how your information is collected, used, and protected throughout the application process. Responsibilities - Participate in the development of a large-scale commercial game; collaborate closely with designers and artists to translate gameplay designs into stable, scalable code implementations. - Work on game AI systems within Unreal Engine — including NPC behavior, pathfinding, and decision-making — or contribute to other client-side modules such as gameplay logic, character controllers, UI systems, and scene management. - Alternatively, participate in game server development: implementing gameplay features, ensuring server stability under high concurrency, and supporting live operations. - Explore and apply AI techniques — including AIGC, LLM-assisted tooling, AI automation, or AI Agents — to improve game quality or development efficiency. - Identify and resolve technical challenges in areas such as network synchronization, memory optimization, and rendering performance to ensure a smooth player experience. Requirements - Bachelor's degree or above in Computer Science, Software Engineering, or a related field; solid CS fundamentals including data structures, algorithms, operating systems, and networking. - Passionate about programming; proficient in at least one language commonly used in game development (C++, C#, Go, etc.), with a solid understanding of its underlying principles. - Systematic programming mindset — able to break down complex problems and design clear, maintainable solutions. - Strong logical thinking and communication skills; collaborative team player with genuine curiosity and drive to tackle hard technical problems. - Strong self-learning ability; proactively follows new technology trends in game development. Bonus Points - Any game project experience — coursework, internship, personal demo, or game jam. - Familiarity with Unreal Engine, Unity, or other game engines. - Passionate about games; pays attention to the interaction details and technical implementation of well-crafted titles. - Open source contributions, a technical blog, or a GitHub portfolio. - Experience with AIGC, code LLMs, AI automation, AI Agents, or related AI applications is a strong plus. We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.

👤 HumanFull-timeEntry

By HoYoverseMay 22, 2026

Software Engineer II - AI Platform

Negotiable

👤 HumanFull-timeMid

By Electronic ArtsMay 26, 2026

Software Engineer, AI Solutions

Negotiable

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Location: Hyderabad | Hybrid Position Type: Temporary Full-Time Experience Level: 8+ years of professional systems software engineering experience About the Team GameKit Operations (GKO) enables EA’s game creation ecosystem through scalable services and intelligent automation. The GameKit Assistant (GKA) is our AI-driven platform that supports developers, artists, and engineers across game creation products like Shift, Jukebox, and Tryouts, along with supporting COTS products like Jira, Gitlab, Artifactory, Perforce. GKA is evolving from a documentation-based chatbot into a Python-powered, context-aware operations assistant that delivers real-time insights and automation at scale. We are expanding our team with engineers who bring strong Python expertise, an understanding of systems design, and a passion for building the connective tissue between AI and production systems. Role Overview We are seeking an AI Solutions Engineer with strong Python expertise to design and implement intelligent integrations for the GameKit Assistant. This role is deeply technical and requires hands-on experience building robust, secure, and maintainable backend services in Python. You will build the interfaces and orchestration logic that allow GKA to communicate with internal tools and commercial platforms through the Model Context Protocol (MCP) and function-calling frameworks. The position involves designing schema-driven APIs, implementing automation pipelines, and collaborating across teams to deliver context-aware AI functionality. Key Responsibilities Python Engineering - Design and implement scalable backend services in Python using frameworks such as FastAPI, Flask, or Django REST Framework . - Build and maintain data-access layers, caching mechanisms, and API wrappers that power MCP integrations. - Implement schema validation, error handling, and retry logic for reliable automation. - Write high-quality, tested, and maintainable code with strong adherence to EA security and performance standards. MLOps and Pipeline Engineering - Implement MLOps pipelines for model training, deployment, and monitoring using tools such as Kubeflow, MLflow, SageMaker, and Terraform . - Integrate with existing Kubernetes and Docker infrastructure for scalable AI service orchestration. - Collaborate with AI Engineering to automate model evaluation and continuous improvement workflows. RAG and Evaluation Systems - Implement and maintain retrieval-augmented generation (RAG) systems and internal knowledge bases. - Work with vector databases such as Azure Cognitive Search , manage embeddings, chunking, reranking, and retrieval logic. - Contribute to performance evaluation frameworks for model outputs using Scikit-learn, PyTorch, or TensorFlow for metrics integration (no model training expected). AI and MCP Integration - Develop and maintain MCP wrappers for key GameKit products (Shift, Jukebox, Perforce). - Implement function calling and orchestration logic that connects multiple systems to provide contextual insights. - Prototype integrations with commercial MCPs (GitLab, Jira, Confluence) to validate interoperability. - Contribute to evaluation pipelines to measure assistant accuracy and API reliability. Systems and Platform Engineering - Apply systems engineering principles to design integrations that are modular, observable, and easy to maintain. - Work with ArgoCD, Kubernetes, and Docker to deploy and monitor services. - Implement metrics, logging, and alerting for all automation endpoints using tools such as Grafana and Prometheus . - Ensure integrations comply with EA’s authentication, authorization, and data-governance policies. - Participate in system design discussions focused on how to bring models “alive” within production pipelines. - Design end-to-end integrations that bridge AI orchestration, MLOps, and backend infrastructure for reliability and scale. - Collaboration and Enablement - Partner with AI, Ops, and Product Engineering teams to define schemas, error models, and test suites. - Mentor peers on Python best practices, performance tuning, and secure API design. - Document workflows, integration standards, and technical guidelines for broader adoption. Qualifications and Experience - 8+ years of experience in Python engineering , with exposure to machine learning and MLOps ecosystems (Kubeflow, MLflow, SageMaker, Terraform). - Advanced understanding of RESTful APIs, OpenAPI/Swagger , and schema-driven design. - Proven experience integrating external APIs and designing resilient service-to-service communication. - Solid understanding of authentication frameworks (OAuth2, JWT) and secure credential handling. - Experience with CI/CD pipelines , Git, and cloud deployment environments. - Exposure to observability stacks (Prometheus, Grafana, ELK) and debugging production systems. - Working knowledge of Docker, Kubernetes , ArgoCD and containerized deployments for ML or AI-based systems. - Familiarity with RAG architectures , embedding models, and vector databases (e.g., Azure Cognitive Search, Pinecone, Weaviate). - Awareness of evaluation frameworks such as Scikit-learn, PyTorch, or TensorFlow , with the ability to integrate metrics or run validation jobs (not model training). - Experience contributing to AI pipeline design and integrating models into production systems. - Bonus: prior work with MCPs, OpenAI, or enterprise automation platforms such as ServiceNow or Power Automate. Who You Are - A Python enthusiast who writes clean, well-tested, and performant code. - A systems thinker who enjoys solving complex integration and orchestration challenges. - A collaborative engineer who values documentation, mentoring, and teamwork. - Curious about AI enablement and motivated by turning complex workflows into simple, reliable automation. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

👤 HumanContractSenior

By Electronic ArtsMay 11, 2026

Senior Machine Learning Engineer , Optimisation (G...

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Machine Learning Engineer, Optimisation (Gurobi) Do you want to join a Machine Learning team committed to enhancing the PlayStation experience for hundreds of millions of users and also game studios? Are you passionate about solving complex constrained optimisation problems at scale? We are building advanced decision systems that drive pricing, promotion planning, and large-scale commercial strategy across the PlayStation ecosystem. These systems directly deliver highly impactful recommendations to our studios and have strong leadership sponsorship. We are looking for an experienced engineer with deep expertise in mathematical optimisation and operational research, particularly using tools such as Gurobi or OR-Tools, to design and deploy production-grade optimisation systems. You will work within the ML teams in the DTIS organisation, on high-impact, executive-sponsored projects and collaborate closely with Product, Business, and others in Engineering, to transform complex business constraints into scalable solutions. What You’ll Do - Design and implement large-scale optimisation models using industry-standard - solvers, such as Gurobi. Build decision systems that: - Incorporate predictive signals from machine learning models (e.g., forecasts and scoring models). - Operate under multiple operational and business constraints. - Automatically balance trade-offs across competing objectives. - Improve existing workflows to maximise the core usage of the Gurobi solver and reduce - job runtime - Partner closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems. - Conduct scenario analysis and uplift forecast to support strategic planning. - Mentor and guide junior machine learning engineers, providing technical leadership and - raising the bar of technical quality. - Thought-lead and influence technology strategy and product roadmap through OR/ML lens, contributing to the development and execution of overall OR/ML strategy. You Bring: - Advanced degree (Master’s or Ph.D.) in Operations Research/Applied Mathematics/Data Science, specialising in optimisation problems. - Strong hands-on experience with Gurobi, OR-Tools. - Industry experience building, deploying, and owning Gurobi or ORTools-driven optimisation systems in production. - Strong programming skills in Python, Java, with experience integrating optimisation solvers into cloud-based backend systems - Excellent communication skills and ability to bridge technical solutions with business objectives, to convey complex concepts to stakeholders with little knowledge of OR or ML. - Experience working with outputs from machine learning models and incorporating them into downstream decision-making pipelines. - Excellent resilience and problem-solving skills, with the ability to navigate through fast-changing conditions to land results. Preferred Qualifications: - Experience in promotion calendar optimisation using Gurobi. - Experience with large-scale structured data manipulation and processing, using - Databricks, PySpark, Snowflake. - Experience in running online A/B testing for predictive models and improving relevant - Experience working with custom ML platforms for continuous integration, deployment,and monitoring of machine learning models. - Experience in the gaming industry. - Experience working with cross-timezone teams. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

👤 HumanFull-timeSenior

By PlayStationMay 25, 2026

Principal AI Software Architect

Negotiable

Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices. Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies and/or opportunities to address them. Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills. Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, PyTorch, CUDA/Triton. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Accelerator architecture Mapping of models to accelerators Number formats AI model architecture

👤 HumanFull-timeExpert / Staff+

By Microsoft GamingJun 4, 2026

Game AI Engineer - Varsapura

Negotiable

Who Are We? HoYoverse is committed to providing immersive virtual world experiences to players around the world. We have brought fans popular games including Genshin Impact, Honkai: Star Rail, Honkai Impact 3rd, Tears of Themis, and Zenless Zone Zero, as well as a wide range of entertainment content. Community is at the heart of everything we do. We are devoted to engaging fans and fostering an enthusiastic and inclusive global community that provides access and encouragement for people to share their passion for ACG (Animation, Comics, and Games) through their own creativity and skills. Pushing the boundaries of imagination, we consistently explore cutting-edge game development technologies, and have accumulated leading technical capabilities in cel shading, cloud gaming, and other fields. In the future, we will continue to expand our content production, technology research, and publishing duties through operations in offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas. When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy . This policy provides detailed insights into how your information is collected, used, and protected throughout the application process. Responsibilities - Participate in the design and development of game AI systems for the Varsapura project, including NPC behavior, decision-making, pathfinding, and perception systems, contributing to a believable and immersive game world. - Collaborate closely with designers, artists, and engineers to translate gameplay designs into stable, high-performance code implementations. - Participate in the development and optimization of AI-related modules in Unreal Engine; work through performance bottlenecks to ensure a smooth player experience. - Participate in game server development — implementing gameplay features, ensuring server stability under high concurrency and high player load, and supporting live operations. - Explore and apply cutting-edge AI technologies — including AIGC, large language models, and AI Agents — to game content generation, development workflow automation, or intelligent tooling. - Take part in technical design reviews and contribute to the team's knowledge sharing and best practice accumulation in game AI. Requirements - Bachelor's degree or above in Computer Science, Software Engineering, or a related field; 3+ years of relevant game development experience. - Solid CS fundamentals with deep understanding of data structures, algorithms, operating systems, and networking. - Proficient in C++ or C#, with strong understanding of language internals and good code architecture skills. - Hands-on experience with Unreal Engine (UE4/UE5) in a real production environment. - Systematic understanding of game AI — familiar with behavior trees, state machines, pathfinding algorithms (e.g., A*, NavMesh), and related techniques. - Strong problem-solving ability; capable of independently owning module design and delivery. - Excellent cross-functional communication and collaboration skills; able to work effectively in a multicultural, international team environment. Bonus Points - Shipped experience on a large-scale commercial game title. - Research or production experience with AIGC, code LLMs, AI automation, or AI Agent frameworks. - Familiarity with machine learning or reinforcement learning fundamentals, with practical experience applying them to game AI. - Experience in game server development; knowledge of high-concurrency and distributed system design. - Prior experience working on overseas projects or in cross-regional teams. We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.

👤 HumanFull-timeMid

By HoYoverseMay 2, 2026

AI Enablement Architect Lead

ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. This position is fully remote within CET ±3h. TEAM Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining one of our Live Studios, working on Hole.io http://Hole.io, one of Voodoo's top games. Voodoo is always looking for the next "unfair advantage." We are currently seeking an AI visionary to join our Live Studios for a high-impact, one-month mission. Your goal is to help us leverage cutting-edge technology to optimize our production at scale, ensuring our developers and artists spend less time on repetitive tasks and more time on what truly matters: making the game fun. ROLE We are looking for an AI Game Production Strategist to conduct a comprehensive audit of our development and creative workflows. Rather than just following trends, you will take a pragmatic, results-oriented approach to identify where Artificial Intelligence can concretely speed up our delivery cycles and enhance our creative output. - Audit & Identify: Analyze our current game development lifecycle—from asset creation and coding to QA and marketing—to find bottlenecks that can be solved by AI. - Strategic Roadmap: Develop a clear, prioritized plan of AI integrations (LLMs, Generative Art, Auto-testing, etc.) that offer the highest ROI for our studio. - Workflow Optimization: Design custom AI-driven workflows and tool recommendations that allow our teams to automate "busy work" without sacrificing quality. - Hands-on Prototyping: Demonstrate proof-of-concepts for AI tools that can be integrated into our Unity-based production environment. - Knowledge Transfer: Empower our senior leadership and technical teams with the knowledge to maintain and evolve these AI strategies long after your mission is complete. With this role, you will have a direct impact on the efficiency of a world-class gaming studio. Your expertise will help us cut through the noise and implement AI solutions that provide a tangible competitive edge in the casual markets. PROFILE - AI Expert: Deep, up-to-date knowledge of the AI landscape, including LLMs (GPT, Claude, local models), Generative Media (Stable Diffusion, Midjourney), and AI-driven coding assistants. - Game Dev Context: A strong understanding of the game development process (Unity/C# environment preferred) to ensure your recommendations are technically feasible. - Efficiency Obsessed: A track record of implementing AI solutions that have demonstrably reduced production time or costs in previous organizations. - Analytical & Pragmatic: Ability to distinguish between "AI hype" and tools that provide genuine utility for a fast-moving gaming studio. - Strong Communicator: Excellent English skills and the ability to explain complex AI concepts to both technical developers and creative leads. - Independent & Proactive: Experience working in short-term consultancy roles where you are expected to deliver high-quality results with minimal hand-holding. BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

👤 HumanContractMid

By VoodooMay 17, 2026

Chief of Staff - Responsible AI (CoreAI)

$130,900 – $303,600

Overview The CoreAI organization at Microsoft builds the end-to-end AI stack and is core to Azure AI innovation and differentiation, as well as all of Microsoft's flagship products, from GitHub, to Office, Teams, and Xbox. We are the team building Responsible AI, Azure OpenAI, Model as a Service, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. Within CoreAI, the Responsible AI organization plays a critical role in shaping how Microsoft builds, governs, and scales AI systems with trust, accountability, and transparency at the center. We are seeking a highly experienced senior operations leader who will design and run the business operating system for the Responsible AI program. This is a senior individual contributor role focused on how Responsible AI operates—setting the cadence, frameworks, and execution infrastructure that keep priorities aligned, decisions well‑formed, and execution predictable in a fast‑moving, highly visible environment. This role is ideal for someone who thrives in building durable execution infrastructure across the org and energized by enabling leaders and teams to operate at scale. Microsoft's mission is to empower every person and every organization on the planet to achieve more. We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive. Responsibilities Organizational & Team Support Operating cadence ownership: Architect and run RAI's operating cadence, including leadership team rhythms, planning cycles, business reviews, and offsites. Decision and follow‑through management: Partner with senior leaders to structure agendas, capture decisions, document trade‑offs, and ensure consistent follow‑through on commitments. Performance management rhythms: Design and run annual and quarterly business rhythms (goal setting, progress reviews, calibration, talent discussions), ensuring leaders have clear data and narratives to support timely decision‑making. Business Processes Hiring process optimization: Improve end‑to‑end hiring workflows (intake, prioritization, readiness, coordination) in partnership with recruiting and business managers, without owning headcount tracking. Execution mechanisms: Build and maintain lightweight processes, tools, and templates that connect strategy to delivery while minimizing operational overhead. Operational Excellence Friction identification and resolution: Identify friction points in how work flows across teams and proactively design scalable solutions. Scalable operating mechanisms: Create repeatable mechanisms that support program growth, change, and increasing complexity. Qualifications Required Qualifications Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+ years experience in financial management, business planning, operations management, project management, or business-related roles Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Demonstrated ability to build operating models, cadences, and processes that scale. Exceptional written and verbal communication skills Strong analytical and problem‑solving skills, with the ability to translate ambiguity into clear structure and action. Proven experience operating with senior leadership teams and influencing decision‑making without direct authority. 5+years of product operations experience that includes product development lifecycle experience Familiarity with budget planning, vendor management, or financial governance in large, complex organizations. Business Management IC6 - The typical base pay range for this role across the U.S. is USD $130,900 - $277,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $303,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. * Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

👤 HumanFull-timeExpert / Staff+

By Microsoft GamingMay 3, 2026

Junior AI Project Manager / Associate Tech PM (Fre...

Negotiable

Animoca Brands Corporation Limited (ACN: 122 921 813) is a Web3 leader that leverages tokenization and blockchain to deliver digital property rights to consumers, helping to establish the open metaverse and its associated network effects. Animoca Brands realizes its mission via three integrated business pillars: operating Web3 businesses to advance blockchain adoption with native projects such as Moca Network, Anichess, The Sandbox, Open Campus, NEOM Web3 initiatives, and a regulated stablecoin project in partnership with Standard Chartered and HKT; providing digital asset advisory services including tokenomics advisory, liquidity provisioning, and institutional research to help external Web3 projects grow; and investment management, with a portfolio of investments in over 540 companies including industry leaders Pudgy Penguins, Yuga Labs, Axie Infinity, Polygon, Consensys, Magic Eden, OpenSea, Dapper Labs, YGG, and many others. Job Summary: We are seeking an AI Project Manager to lead the planning, execution, and delivery of innovative Artificial Intelligence and Machine Learning initiatives. In this role, you will act as the critical bridge between our business stakeholders, data scientists, and engineering teams. You will be responsible for navigating the unique complexities of AI projects—from data collection and model training to deployment and performance monitoring — ensuring solutions are delivered on time, within scope, and drive real business value Requirements: Responsibilities: The Perks of Joining Animoca Brands: A Vibrant and Diverse Workplace: Immerse yourself in a dynamic, multi-cultural environment with colleagues from over 15 nationalities (and growing!). We celebrate diversity and foster a global perspective. Incentives in the Web3 Space: Be a part of the future and align your success with the growth of our innovative projects. Direct Impact and Flat Structure: Your voice matters. We operate with a flat organizational structure, ensuring your ideas are heard and implemented quickly. Comfortable and Creative Atmosphere: Embrace a relaxed and productive work environment with casual attire. Opportunities Across the Ecosystem: Expand your horizons by collaborating with various subsidiary brands within the Animoca Brands network, gaining exposure to a wide range of projects and technologies. Comprehensive Benefits Package: We care about your well-being. Enjoy a comprehensive benefits package, including medical, life, and transportation allowances. Personal Information Collection Statement: Personal data provided by the Job Applicant will be used strictly in accordance with the Employer's Personal Data Policies, a copy of which will be provided immediately upon his/her request. All classified data will be treated confidentially within the Human Resources & Administration Department. Personal data of unsuccessful applicants may be retained for a period of up to 3 months.

👤 HumanFull-timeEntry

By Animoca BrandsJun 25, 2026

Senior Data Scientist

Negotiable

Senior Data Scientist at King. Department: Other. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: Stockholm, Stockholm County, Sweden. Relevant tags: Engineering, Other. Source: phenom. Apply at https://careers.king.com/us/en/job/R027322/Senior-Data-Scientist

👤 HumanFull-timeSenior

By KingJun 21, 2026

Research Intern- AI Ethics

Negotiable

Negotiable

Business Unit What the Role Entails 1.Architecture Research: Conduct in-depth research into the underlying hardware logic of various AI accelerators; evaluate the power-efficiency ratio and suitability of different heterogeneous architectures in the context of Large Language Model (LLM) inference and training. 2.Operator & Performance Optimization: Design and optimize high-performance operator libraries for large-scale cloud computing environments; resolve long-tail latency issues in hardware scheduling, memory management, and distributed communication. 3.Interconnect Architecture Definition: Define the interconnect architecture ; drive the virtualization, standardized access, and efficient pooling of heterogeneous computing resources in the cloud. 4.Technology Trend Analysis: Monitor global trends in semiconductors and accelerators; perform feasibility studies and experimental validation for the implementation of emerging technologies within cloud infrastructure. Who We Look For 1.Education: Master’s or Ph.D. degree in Computer Engineering, Electronic Engineering, Microelectronics, or a related field. 2.Core Expertise: Expertise in GPGPU architectures or other mainstream AI accelerator architectures. 3.Programming & Frameworks: Proficient in parallel computing frameworks; deep understanding of low-level operator development languages (e.g., CUDA, Triton). 4.Network & Distributed Systems: Solid understanding of large-scale distributed systems, cluster topologies (e.g., Fat-tree, Torus), and high-performance network protocols. 5.Industry Insight: Familiar with the architectural evolution of global leading computing enterprises; ability to objectively analyze the technical pros/cons and engineering challenges of different architectural paths. 6.Experience: Experience in the application, optimization, or architectural design of ultra-large-scale accelerator clusters is preferred. 7.Framework Optimization: Experience in the low-level adaptation and performance tuning of mainstream deep learning frameworks (e.g., PyTorch, TensorFlow) is preferred. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $145,100.00 to $273,200.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals. Who we are Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

👤 HumanFull-timeSenior

By TencentJun 19, 2026

Senior Data Scientist - Machine Intelligence (Crea...

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization’s mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and creators. WHY CREATOR SERVICES? At Roblox, the Creator Services team enables unbounded creation through reliable core services and novel AI applications. As a Senior Data Scientist focused on Machine Intelligence , you will bridge the gap between high-tier engineering infrastructure and cutting-edge ML applications. You will be the primary strategic partner to product and engineering leadership, transforming unstructured data into actionable business insights and user-facing products. This is a "zero-to-one" environment. You will be tasked with creating standards for entirely new data formats and building the analytical frameworks that define how machine learning drives creator success and platform sustainability. You Will: - Lead ML-Driven Transformation: Act as the lead data partner to engineering and product leadership, shaping roadmaps for ML products by translating technical approaches into interpretable, movable metrics. - Model Unstructured Data: Develop sophisticated ML models for unstructured data—including text, images, and video—to improve product measurement and external user experiences. - Own data workflows end-to-end: Drive work from ideation through data collection, pipeline development, and modeling, to produce outputs that inform leadership decisionmaking. - Design Causal Frameworks: Design complex experiments to quantify the impact of foundational service updates and AI-driven features on the broader Roblox ecosystem. - Translate Technical Wins into Business Value: Bridge the gap between deep-tier engineering metrics and high-level business impact. Own the narrative that helps stakeholders understand how service improvement drives creator success and platform sustainability. You Have: - Advanced Academic Background: A BS, MSc, or PhD in Computer Science, Statistics, Applied Math, or a related quantitative field. - ML Expertise: Proven experience in ML modeling on unstructured data (text, images, video) and the ability to turn these models into useful data products. - Strategic Influence: A demonstrated ability to influence senior leaders through clear narratives and decision memos on complex technical topics. - Comfort with Ambiguity: Experience in environments where no standard data formats exist - NLP Knowledge: Familiarity with measuring translation quality and assessing feedback loops. - Technical Mastery: Expert-level knowledge of statistics, A/B testing, and causal inference in complex, mediated settings - Engineering Fluency: The ability to grasp complex system architectures, data flows, and high-throughput schemas. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $221,380 - $263,670 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

👤 HumanFull-timeSenior

By RobloxApr 20, 2026

Staff Research Scientist, Foundation Models - Tech...

Negotiable

Research Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. As a Staff Research Scientist, you push the boundaries of what’s possible and raise the bar for research quality and its translation into extraordinary gameplay. The Technology Research team performs applied research to accelerate the pace of building amazing player experiences at Riot Games. As a Staff Research Scientist , you will research and develop world models—learned representations that understand, predict, and simulate game environments. Rather than building general-purpose large language models, you will focus on models that capture the structure and dynamics of Riot's games: how state evolves, how players behave, and how design changes ripple through complex systems. Your work will power scalable simulation for agent training, automated game balancing, synthetic data generation, and new forms of language-conditioned game interaction. You will stay deeply hands-on, turning advances in predictive simulation, latent state representations, and environment modeling into concrete prototypes that game teams can evaluate and build on. You will work closely with game teams to ground your research in real gameplay needs and partner across Technology Research to connect world models with game AI and NLP efforts. Responsibilities: - Propose, implement, and evaluate world models that learn latent representations of game state, player behavior, and environment dynamics - Build predictive simulations that enable agent training, game balance testing, and rapid design iteration without full game server overhead - Develop methods for synthetic data generation and auto-balancing powered by learned environment models - Explore language-conditioned approaches that combine large language models with state estimators to enable new forms of game interaction - Work closely with game teams to understand gameplay needs and design constraints, ensuring research is grounded in real player experiences - Partner with game AI and NLP researchers to integrate world models into broader AI systems across Technology Research - Stay current with academic and industry advances in world models, predictive simulation, representation learning, and environment modeling (e.g., MuZero, Gato, Dreamer) - Communicate progress and learnings clearly to stakeholders, helping teams understand both what works and what doesn’t Required Qualifications: - Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent experience (i.e., M.Sc. with 3+ years of relevant experience, or B.Sc. with over 6+ years of relevant experience, etc.) - 2+ years experience in deep learning or algorithmic foundations of optimization - Experience with generative models, representation learning, model-based reinforcement learning, or learned simulation - Proficiency in C, C++, or Python - Expertise with TensorFlow or PyTorch Desired Qualifications: - Experience building or training world models, dynamics models, or latent-space simulators (e.g., Dreamer, MuZero, or similar architectures) - Familiarity with game engines (e.g., Godot, Unity, or Unreal) for prototyping or data collection - Distributed computing systems design or large-scale model training infrastructure - Experience with GCP or AWS - Demonstrated contributions to public research (e.g., publications, talks, open-source projects) For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

👤 HumanFull-timeExpert / Staff+

By Riot GamesJun 2, 2026

Transformation Lead, Supercell AI Transformation

Negotiable

[https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/bad250f8-206a-41f4-9698-287303b69ce3/keyart%20supercell.png] SUPERCELL IS LOOKING FOR A TRANSFORMATION LEAD TO OWN OUR COMPANY-WIDE AI TRANSFORMATION, TURNING STRATEGIC AMBITION INTO REAL ADOPTION AND MEASURABLE IMPACT ACROSS TEAMS. Reporting to the CTO and partnering closely with the Head of AI and senior leadership, you'll bridge strategy and execution: helping teams find where AI genuinely changes how work gets done, and driving the change needed to make it stick. This is a cross-functional leadership role at the intersection of strategy, technology, and change management. AI transformation is fundamentally about people and operating models, not just tools. WHAT YOU'LL BE DOING - Lead the transformation agenda. Own the company-wide AI adoption effort, from shaping priorities and sequencing to ensuring high-impact initiatives move forward with clarity and momentum. - Drive adoption and change. Build relationships across game, platform, and support teams; identify practical AI use cases; embed AI into day-to-day workflows; and resolve adoption barriers. - Manage the portfolio. Run lightweight mechanisms to track progress, surface blockers, measure impact, and share learnings across the organization. - Enable teams. Partner with the central AI team to translate new capabilities into practical adoption; champion best practices, tooling, and ways of working. - Build a team. Recruit and lead a small, high-performing transformation function. WHAT YOU HAVE - 8+ years in tech, product, operations, or consulting, with a strong track record in large-scale transformation. - Proven ability to lead cross-functional initiatives with senior stakeholders. - Strong change management skills and a bias for execution. - Ability to cut through complexity and turn ambiguity into clear plans and priorities. - Genuine curiosity about AI and how it changes the way teams work. - Enthusiasm for games and the gaming industry. WHAT SUCCESS LOOKS LIKE - Teams across Supercell are adopting AI in ways that create real, measurable value. - Experimentation gives way to sustained, embedded usage. - Blockers are resolved faster; learnings spread more quickly. - In the best cases, teams fundamentally rethink how work gets done. WHERE YOU'LL BE This role is based in our Helsinki studio. ––– 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. ––– [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/88b3477a-7124-479e-babc-94125c5b23be/banner_narrow_allstars.jpg] ABOUT SUPERCELL Supercell is a games company from Helsinki, Finland, with offices https://supr.cl/jd-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 https://supr.cl/jd-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 https://supercell.com/en/news/learning-from-failures/, and killing lots of projects. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/0272a5b3-a7a2-4f1c-b97b-725eae66daf0/banner_narrow_people3.jpg] HEY, YOU MIGHT LOVE IT HERE! Independent cells and trust are at the core of our culture https://supr.cl/jd-why-you. 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. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/49ae2117-cfbb-4fbd-bc4c-f67357d2f376/banner_narrow_titles.jpg] YOU ARE NOT YOUR JOB TITLE ™ Here, you won’t need to focus on chasing titles https://supr.cl/jd-job-title 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. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/860d5de4-aa96-4e01-879c-889b7039330b/banner_narrow_chest.jpg] 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 https://supr.cl/jd-benefits with that in mind. It starts with perceiving you as a human being, not a resource. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/b52ac2fb-3f94-46bc-9c36-32ad780b2eae/banner_narrow_relocating.jpg] 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! [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/58a0cf4e-e26b-461b-8541-2129dc6b7311/banner_narrow_portraits-2025-ashby.jpg] 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 SupercellJun 26, 2026

Lead Gameplay AI Engineer

$195,000 – $243,000

That's No Moon is an independent studio of storytellers and game-makers who believe in the power of narrative-driven experiences. With a diverse team of talented developers, our shared vision is to create the future of AAA experiences with a culture of creativity, collaboration, and responsible production practices. Our passionate team of developers helps shape our studio, our projects, and our future. Gameplay AI is a core component of video games used to tell an engaging and exciting story through gameplay. We are looking for a Lead Gameplay AI Engineer who is excited to push the boundaries of Gameplay AI in video games for our forthcoming AAA title. This role will work side-by-side with designers and provide creative input to craft believable, innovative AI experiences. In this role, you will architect, build and maintain a variety of AI systems that bring characters and the world to life in service of outstanding, memorable gameplay. Responsibilities: - Own gameplay AI systems and related engineering tasking and development . - Directly manage a team of AI engineers, including career management, growth, and mentorship. - Architect, implement, and maintain production quality C/C++ for AI systems, behaviors, tools, and workflows. - Give technical leadership and counsel, ranging from short-term AI problem solving to long-term AI roadmap planning. - Provide the production team with guidance for scheduling, while identifying and reducing risks across AI feature development. - Collaborate with engineers and other disciplines to provide holistic solutions with an emphasis on delivering exceptional gameplay experiences. - Build and foster a highly collaborative, transparent culture that is safe, and values innovation, diversity, and work-life balance. - Drive innovation in AI character behaviors, ensuring NPCs feel believable and contribute meaningfully to gameplay and storytelling. - Analyze different approaches to solve AI problems and discuss the tradeoffs between them. - Write and maintain relevant documentation. Requirements & Skills: - Shipped at least one AAA game or equivalent complexity in a Gameplay AI-related role . - Shipped at least one AAA game or equivalent in complexity with Unreal Engine - At least 7 year s of professional C++ experience . - Strong math skills. - Console development experience is a plus - Experience with machine learning is a plus . Qualities: - Ability to lead and mentor engineers, guiding growth in both AI-specific and broader technical skills. - Excellent interpersonal skills, communication, both verbally and written. - Work independently with minimal supervision. - Good conflict resolution abilities across varied disciplines. TNM considers a number of factors when determining each role's base pay range, including industry benchmarks, location, experience, and other job specific skills. In addition to base pay, this role may be eligible for other incentive compensation including equity and profit share. The estimated base pay range for this role is U.S. only and not applicable for locations outside of the U.S. The estimated base pay range for this role is: $195,000 - $243,000 TNM offers competitive and comprehensive benefits that include medical, dental, vision, 401(k) match, flexible PTO, supplemental life and disability, and more. Eligibility to participate in these benefits may vary based on country of residence and/or part-time or temporary employment status. That's No Moon is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, ancestry, color, citizenship, religion, sex, sexual orientation, gender identity or expression, marital status, pregnancy, age, national origin, disability status, legally protected physical or mental disability, genetic information, protected veteran status, or any other characteristic protected by law. To those interested in submitting for roles at That's No Moon, we have a few reminders to ensure a safe application process. 1. If one of our recruiters reaches out to you, it will be with a "@ thatsnomoon.com " email address. We do not email via personal email addresses either. 2. We do not conduct interviews via Discord or WhatsApp. 3. We will not ask you to provide sensitive personal information. 4. We will never request that you buy equipment specifically for your interview/test. We are saddened that people are being taken advantage of and ask that, if you ever have any doubts about whether you are speaking to an official member of the That's No Moon team, to reach out to our official social handles directly. LI-remote

👤 HumanFull-timeRemoteSenior

By That's No MoonMay 23, 2026

Senior Data Scientist - CLV & Personalisation

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV & Personalisation team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. As a Senior Data Scientist , you will drive the development of advanced modelling and analytical approaches that influence key commercial and product decisions at scale and are evaluated based on their impact on commercial outcomes. You will work on complex and often ambiguous problems, helping define how we measure player value and how we deliver more personalised player experiences. This role combines deep hands-on modelling with ownership of problem definition, approach, and impact. You will work with a high degree of autonomy across ambiguous problem spaces, shaping how data informs strategy and decision-making across the business. What You’ll Do - Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle. - Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions. - Partner with senior stakeholders to shape strategies, and ensure Data Science drives high-impact decisions. - Apply advanced machine learning techniques, including deep learning and sequence modelling, where appropriate to capture complex player behaviours and improve model performance. - Evaluate and select modelling approaches based on problem context, balancing performance, scalability, and interpretability. - Work within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are scalable, production-ready, and aligned with long-term architecture. - Mentor other data scientists and contribute to best practices across the team. - Communicate complex modelling approaches, assumptions, and outcomes clearly to senior technical and non-technical audiences. What We’re Looking For You combine technical depth in machine learning with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on solving sophisticated problems that deepen PlayStation’s understanding of its players and you use this understanding to inform data-driven decisions and strategies that drive player growth. - Proven industry experience delivering impactful, production-ready machine learning solutions in areas such as customer value, retention, or personalisation. - Strong expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. - Ability to critically assess when advanced approaches are warranted versus simpler solutions. - Experience owning projects end-to-end, including problem definition, navigating ambiguity, selecting modelling approaches, and delivering impactful solutions. - Ability to work with large, complex datasets and translate them into scalable solutions. - Strong stakeholder management and communication skills, with the ability to influence decisions and communicate results persuasively to both technical and non-technical audiences. - Proficiency in Python, SQL, and modern ML tooling (such as Tensorflow, PyTorch, MLlib, feature stores); experience with PySpark or equivalent distributed data processing tools. - A strong academic background, typically a Master’s or PhD in a technical or quantitative field, specialising in Machine Learning. - Experience deploying models into production and maintaining business-critical or consumer facing models. Nice to Have - Background in gaming, e-commerce, or subscription-based businesses. - Industry experience with experimentation frameworks and causal inference. - Experience working in agile, fast-paced environments Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

👤 HumanFull-timeSenior

By PlayStationMay 4, 2026

Sr AI Engineer

Negotiable

At Wizards AI in Central Technology, we build high-value, scalable solutions that enable our game teams to build better development tools and new experiences. AI is a new frontier of development, and we are passionate about using responsible AI to provide useful tools and processes for our partners while ensuring human creativity is protected. We are looking for a versatile and dedicated Senior AI Developer who focuses on delivering end to end agentic architectures and trained models for our game partners to use as tools and customer facing features. In this role, you will be working with a team to develop solutions in a collaborative and creative environment with partner teams and helping to grow our capabilities in AI technologies. What You'll Do: * Work with internal teams to implement AI technologies in our tools and products * Develop AI techniques to create best in class solutions for our partners * Advocate for responsible and ethical AI, working closely with teams to build positive and safe systems for usage across our products. * Design, build, and deploy scalable systems for intelligent generation of player assistance, tutorials, and NPC behaviors. What You'll Bring: * 2+ years developing and deploying production scale AI solutions; or equivalent experience. * Experience with prompt engineering, chaining, and agent-based workflows for large language models. * Conceptual understanding of how language models are trained and fine-tuned. * Knowledge of major advancements in AI and able to learn new methods from research papers or documentation to apply to our work. * Proficiency with one or more of Python, Typescript, databases with vector search like Neo4j and MongoDB, deploying to cloud architectures, and testing frameworks like DeepEval Nice to Have: * Experience with AWS Bedrock or SageMaker AI, * Graduate level experience in deep learning. * Background in AI safety, responsible AI, or similar fields (e.g. constitutional AI, model interpretability, etc.). * Experience with game AI and/or reinforcement learning. Compensation Range, Currency USD: * Starting Pay Range: $149,680 * Pay Range End: $224,520 In compliance with local law, we are disclosing the compensation range for this role. The range listed is just one component of Wizards of the Coast’s total compensation package for employees. Employees may also be eligible for annual and long-term incentives. In addition, Wizards of the Coast provides a variety of benefits to employees. Here’s a look at what your benefits package may include: Medical, Dental & Vision Insurance, Paid Vacation Time & Holidays, Generous 401(k) match, Paid Parental Leave, Volunteer Program, Employee Giving & Matching Gifts Programs, Tuition Reimbursement, Product Discounts, and more. We are an Equal Opportunity / Affirmative Action Employer Wizards is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know. wizards

👤 HumanFull-timeSenior

By Hasbro / Wizards of the CoastMay 29, 2026

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