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AIエンジニア 私たちについて Limit Breakは、深い専門知識、個人と業界の成長、そして卓越した技術を基本理念としています。モバイルゲーム業界の世界的リーダーとして、ゲームの枠を超えたデジタル市場の変革と活気あるコミュニティの構築に取り組んでいます。最新技術や暗号通貨を活用し、創造力豊かなビジョンで世界中の人々を繋げる体験を提供しています。 Limit Breakは、Buckley VenturesやParadigm Venturesなどの著名な投資家からの支援を受けています。共にゲーム業界の未来を形作る才能溢れる人材を探しております。 Limit Breakの一員として、あなたの創造性と情熱、私たちと共に限界を超える挑戦に参加しませんか。 このポジションのミッション ゲーム制作現場（アーティスト／TA／ゲームデザイナー／開発チーム）と並走しながら、生成AI（LLM等）やプロシージャル生成を「実制作に耐える道具」として定着させることがミッションです。 リアルタイム生成に限定せず、主に「事前生成（バッチ生成）」を前提としたワークフローで、意図の言語化 → 生成 → 評価 → フィードバック → 改善のループを回し、品質・スピード・再現性を継続的に高めます。 本ポジションは、研究開発（R&D）を主目的とした役割ではなく、ゲーム制作のプロダクションに組み込まれる機能・ツールとして実装し、運用まで含めて価値を出す役割です。 業務内容 ●     生成AI（LLM等）やプロシージャル生成を活用し、アート／シナリオ／レベル制作を支援するAI機能・制作ツールの開発 ●     制作意図（目的・制約・評価軸）の言語化、テンプレート／制約設計、制作ツールUXの最適化、生成体験の改善 ●     生成品質（完成度／一貫性／再現性）の向上と、制作パイプラインの効率化（生成フロー、レビュー導線、データ管理、再生成・差分管理など） ●     生成速度・コスト・品質の観点での評価設計と継続的改善（ベンチマーク、比較評価、運用モニタリング）●     自社製ノードベースエディタの拡張開発（制作現場向け機能追加／UX改善） ●     定型型シナリオの事前生成（バッチ生成）機能の設計・実装（テンプレート化、構造化出力、レビュー前提の生成フロー） ●     パズルレベルの事前生成（バッチ生成）機能の設計・実装（制約充足、可解性／難易度などの評価設計を含む） ●     ゲームリソースの事前学習データベースの作成・最適化（スキーマ設計、タグ付け、重複排除、検索性／再利用性の向上） 応募条件 ●     エンジニアとしてゲーム制作に関わる経験、またはコーディングスキルを持つTAとしての実務経験 ●     機械学習／自然言語処理、または自動生成（プロシージャル生成、探索／最適化等）に対する基本的な理解 ●     大規模データセット／コンテンツデータベースを扱った経験（収集／加工／品質管理／検索性・再利用性の設計等） ●     生成物を「検品」で終わらせず、評価設計 → レビュー → フィードバック → 改善の反復で品質を上げられること ●     関係者（アーティスト／デザイナー／エンジニア）と意見交換しながら、目的・制約・評価軸をすり合わせて前進できること 歓迎スキル ●     対話型AI／エージェント等の開発経験（制作支援のUI／ワークフローに組み込めること） ●     クラウドサービス（AWS, GCP, RunPod, Azure等）でのGPU活用・運用経験 ●     TensorFlow／Keras／PyTorch等の機械学習フレームワーク利用経験 ●     生成AI（画像／テキスト／構造化データ）に関する開発・運用経験（学習／微調整／推論最適化／評価等） ●     制作現場に導入するためのワークフロー／ガードレール設計経験（テンプレ、制約、チェック、再現性、差分管理等） ●     ノードベース（グラフ／DSL等）エディタの拡張開発経験 ●     レベルの自動生成、探索／最適化、評価（可解性・難易度推定・多様性等）に関する経験 ●     データモデリング／DB設計（コンテンツDB、タグ設計、インデックス、重複排除等）の経験 求める人物像（能力） ●     ゲーム制作に関わる多数の領域（アート／シナリオ／レベル／運用／ツール）にまたがる興味関心 ●     タスクと実直に向き合い、仮説検証と改善を粘り強く回せる ●     スピード感と納期意識を持って推進できる ●     セルフコントロール能力があり、自走しつつ周囲を巻き込める ●     課題に対して素早く意見交換でき、解決手法を提案できる ●     目的・制約・評価軸を言語化し、関係者と合意形成できる ●     方向性提示 → フィードバック → 改善のループで品質を上げる協働ができる（事前生成の運用を回せる） AI Engineer About us: Deep expertise. Personal and Industry evolution. Impeccable craft. These are Limit Break’s founding principles. Limit Break is founded by global industry leaders in mobile gaming. We are unlocking its potential beyond games to transform digital markets into real-world economies and digital worlds into vibrant communities who will take gaming economies for both players and traders to new limits. We combine the power of technology, and creative vision to create experiences that connect people from all corners of the globe. Limit Break is backed by leading investors that include Buckley Ventures & Paradigm Ventures. The adoption rate and a number of public and private partnerships is proving it to be the next wave of technology of the future and Gaming is leading the way. About the Role: The mission of this role is to integrate Generative AI (LLM, etc.) and procedural generation into the actual game production workflow as practical, high-quality tools. Unlike a pure R&D role, this position focuses on implementation and operation within the production pipeline—specifically focusing on pre-generation (batch generation) to improve quality, speed, and reproducibility through continuous feedback loops. You will have the opportunity to: ●     Develop AI-driven tools that support art, scenario, and level production using Generative AI and procedural techniques. ●     Optimize production pipelines by designing workflows for intention verbalization, template creation, and UX improvements for internal tools. ●     Implement batch generation systems for scenario writing and level design, including constraint satisfaction and difficulty evaluation. ●     Manage game resource databases, including schema design, tagging, and optimizing data for pre-learning and reusability. ●     Extend node-based editors to improve functionality and user experience for on-site creators. Qualifications: ●     Game Development Experience: Background as a software engineer in game production or as a Technical Artist (TA) with strong coding skills. ●     Technical Knowledge: Basic understanding of Machine Learning (ML), Natural Language Processing (NLP), or automated generation (procedural, search/optimization). ●     Data Management: Experience handling large-scale datasets or content databases (collection, processing, and quality control). ●     Iterative Quality Control: Ability to design evaluation metrics and run feedback loops (Review → Feedback → Improvement) to raise output quality. ●     Collaboration: Strong communication skills to align goals, constraints, and evaluation axes with artists, designers, and other engineers. Nice to Have: ●     AI Development: Experience developing conversational AI/agents or using ML frameworks like TensorFlow, Keras, or PyTorch. ●     Cloud & Infrastructure: Experience utilizing GPUs on cloud platforms (AWS, GCP, Azure, RunPod, etc.). ●     Generative AI Expertise: Hands-on experience with image/text/structured data generation, including fine-tuning and inference optimization. ●     Specialized Systems: Experience with node-based editor extensions or automated puzzle/level generation (solvability and diversity estimation). ●     Database Design: Advanced skills in data modeling, indexing, and deduplication for content databases. Apply now: If you are confident, driven and are looking for an exciting role, this job could be a great opportunity for you. Apply to careers@limitbreak.com to explore this new opportunity. This is an international blockchain gaming company that operates regionally, and is opening offices in multiple locations around the globe. We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

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. We are hiring a Lead Data Scientist – Battlefield to join our Data & Insights (D&I) Data Science team, reporting to a Senior Manager of Data Science. The Data Science team partners with EA studios to build scalable AI/ML solutions that enhance player experience, game design, and live service performance. You will bring expertise in the area of AI, ML, and engineering. You will also lead efforts related to life cycle management, progression, in-game economies, and player experience, specifically, within the Battlefield franchise. Responsibilities - Work directly with Battlefield game team/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases. - Apply problem-driven, AI/ML approaches to improve player experience, engagement, retention, and monetization systems. - Develop plans to generalize products across the franchise with our engineering partners. - Establish rigorous experimental design standards (A/B testing, causal inference, system experimentation) to produce actionable insights. - Collaborate with engineering partners to productionize models within live environments and gameplay systems. - Design and enhance data pipelines that process petabyte-scale telemetry data using technologies such as AWS, S3, Kubernetes, GCP, Python, Apache Kafka, and Hive. - Develop algorithms and statistical models for forecasting, player state prediction, churn analysis, progression balancing, and economic system tuning. - Communicate complex analytical concepts to technical and non-technical partners, influencing strategic decisions. - Mentor other data scientists and contribute to shared best practices across the D&I organization. Required Qualifications - Graduate degree in Statistics, Mathematics, Computer Science or another quantitative field encouraged. - 6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems. - Expertise in the gaming space, understanding typical business models, game development practices and technology. - Experience building applied models, systems or projects in the following areas: retention, economics/systems experiments, ad segmentation, ML/AI engineering and deployment technology. - Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools. - Familiarity with at least one scripting language: Python or R. - History of mentoring junior team members. - Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners. - Experience using query languages and other analytic tools. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD * Ontario *$141,400 - $192,100 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. This role is for an existing vacancy. 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.

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Senior Game Engineer, GenAI - Games

Negotiable

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We are seeking a Senior Game Engineer who is passionate about the next frontier of interactive storytelling and player agency. In this role, you won’t just be building models; you’ll be building experiences. You will leverage Generative AI to break traditional scripted boundaries, creating dynamic gameplay systems that respond to players in ways previously thought impossible. Key Responsibilities * Design-Led Engineering: Work elbow-to-elbow with Game Designers to prototype and ship AI-augmented gameplay. * Player-Centric AI: Implement GenAI features that directly enhance the player experience, ensuring that AI-generated content feels intentional, high-quality, and most importantly, fun. * Core Systems Integration: Architect how GenAI hooks into core game systems (AI behavior trees, narrative engines, and world-building tools) to ensure seamless, low-latency performance. * Guardrails & UX: Develop the "logic layer" that sits between raw AI outputs and the player, ensuring content remains on-theme, safe, and balanced within the game's mechanics. * Rapid Gameplay Iteration: Use GenAI to accelerate the "find the fun" phase of development, building internal tools that allow for faster level blocking, asset variation, and playtesting loops. * Technical Troubleshooting: Debug complex interactions where AI systems meet deterministic game logic, maintaining the stability of the live game environment. Qualifications * Gameplay Engineering Core: 5+ years of professional experience in game development. You have a deep understanding of game architecture, player controllers, and real-time systems. * Applied GenAI Skills: Proven experience using LLMs or Diffusion models to solve specific product problems. You know how to prompt, fine-tune, and chain models to get predictable results in an unpredictable game world. * Systems Thinker: You understand how a change in an AI's "personality" or "generation parameters" affects game balance and the overall player journey. * Technical Proficiency: Expert-level C++ or C# (Unity/Unreal) and a grasp of Python for tooling and data pipelines. * Passion for Innovation: You are excited by "impossible" design challenges and believe GenAI is the key to unlocking new genres of play. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $280,000.00 - $400,000.00. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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Deep Learning Engineer for Game Technology

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. Experienced Deep Learning Engineer for Game Technology We are looking for a machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love to hear from you. This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance. About the Advanced Technology Group The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation’s first party game development studios, ATG's focus has always been to help game developers to get the most out of PlayStation hardware, and this is still true today. The majority of the group holds responsibility for a large part of the GPU software stack used by all PlayStation games, which allows us to collaborate with engineering teams worldwide, from third party game developers to hardware vendors, to deliver key platform technologies. You will be part of a small creative team within ATG, tackling problems centred around computer vision and machine learning. Examples of projects include a novel facial performance capture system used to produce assets for AAA games, and building a general purpose solution for on-console inference. The Role You will be expected to develop innovative ML solutions for deployment in games and in the development pipeline. This also involves making technology choices, prototype solutions and bringing them to production. Some of these systems are expected to run on millions of PlayStations in people’s homes, making high run-time performance crucial. You should stay up to date with the competition and the industry’s latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S and Japan, as well as technical communication of the ideas and solutions developed. The Essential Requirements • Experience with modern Deep Learning and Pytorch: You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production. • Experience with production-facing software development and strong debugging skills. This also requires demonstrating applied engineering skills through a shipped ML network or personal project. • Understanding of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations. Nice-to-have • Experience with Graphics and/or Game Engines • Experience with Computer Vision Benefits - Discretionary bonus opportunity - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Senior Machine Learning Engineer (f/m/d)

Negotiable

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with. Meet Your Team: Programmatic Data Science Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad network that takes part in this competition, going against industry giants to present its own ads. In the competitive real-time bidding landscape, the Programmatic Data Science team operates at a rapid pace, developing cutting-edge algorithms, to create systems that outperform industry giants. Our approach is deeply rooted in rigorous research into user behavior, publisher and advertiser objectives, ensuring an optimal user experience. We are a fast-moving team that rapidly translates theory into impactful solutions, using state-of-the-art technologies and collaborating closely with product and business stakeholders. What You Will Do: Who You Are: Fuel for the Journey: Benefits to Support Your Ambitions

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Senior Data Scientist, Mobile User Acquisition - B...

Negotiable

Team Name: Marketing Job Title: Senior Data Scientist, Mobile User Acquisition - Blizzard (Barcelona, ESP) Requisition ID: R026169 Job Description: It takes a Blizzard to make a Blizzard game, and that dedication doesn’t end once the game launches. We support our worlds for years, ensuring every player—on every platform—has an epic experience. Global Insights partners closely with our game teams, marketing, user acquisition, finance, and internal service groups to deliver the analytics, models, and strategic insights that help bring those experiences to life. Within Global Insights, the Marketing Analytics team applies advanced analytics and data science to help our marketing and growth teams make smarter, data-driven decisions that deepen engagement and drive long-term business impact. We are seeking a Senior Data Scientist with deep experience in mobile marketing analytics to join our team. In this role, you will build predictive revenue and LTV models, develop probabilistic attribution, marketing mix models, and create systems that allow us to understand—and optimize—the true impact of our mobile marketing investments. The ideal candidate has a passion for using data to shape mobile player acquisition and retention strategies, thrives in highly collaborative environments, and can translate complex analytical concepts into clear, actionable insights for partners across Blizzard. Responsibilities - Build and maintain automated and dynamic predictive LTV models for mobile apps across multiple geographies, channels, campaigns, and platforms. - Develop automated revenue and user growth forecasting systems that integrate with UA and finance workflows. - Own the statistical framework for cohort modeling, retention projections, ROAS forecasting, and lifetime value prediction. - Lead measurement strategy in a privacy-centric ecosystem, including: - SKAdNetwork (SKAN) configuration and model-based postback interpretation - Probabilistic attribution and MMM - Incrementality testing and causal inference - Funnel and cohort analysis across a complex landscape of iOS/Android/PC and Console - Build data pipelines and automated reporting that harmonize deterministic and probabilistic signals. - Collaborate with marketing, finance, and business teams to translate insights into actionable strategies by providing: - Paid media performance insights - Budget planning and scenario modeling, both one off and automated - Creative testing analytics - Channel-level optimization recommendations - Build and maintain data pipelines and dashboards to monitor marketing KPIs and model outputs. - Present findings and recommendations to stakeholders in a clear and compelling way. - Stay informed on emerging trends and best practices in marketing analytics and data science. Requirements - 8+ years of experience in data science, analytics, or a related field, with deep expertise in mobile marketing, predictive revenue modeling, or mobile UA analytics. - Advanced degree (Master’s or PhD) in Statistics, Applied Mathematics, Economics, Computer Science, or another quantitative discipline. - Expert knowledge of: - Cohort-based modeling and LTV prediction - Marketing measurement frameworks (SKAN, ATT, MMM, incrementality) - Paid media platforms: Meta, Google, TikTok, DSPs, SANs - Probabilistic and deterministic attribution approaches, last-click attribution and alternatives - Experience deploying models and working with engineering teams to automate workflows. - Strong programming experience in Python (or R) and proficiency in SQL. - Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and advanced statistical modeling techniques. - Hands-on experience with modern data and analytics tools, including BigQuery/Snowflake, Airflow/dbt, Tableau/Looker, and Python-based ML frameworks (scikit-learn, TensorFlow, PyTorch). - Expertise in data visualization and storytelling using Tableau, Power BI, Looker, or similar tools. - Demonstrated ability to solve complex problems independently and lead cross-functional initiatives. Preferred Qualifications - Hands-on experience with: o     MMPs (AppsFlyer, Adjust, Singular) o     SKAN 4 or 5 readiness and schema design o     Mobile data pipelines (event ingestion, postback processing) ·          Knowledge of cloud platforms ( AWS, GCP, Azure ) and modern data engineering tools. - Strong business acumen and the ability to influence senior leaders through compelling, data-driven insights. - A passion for Blizzard games and for helping shape unforgettable mobile experiences through data craftsmanship. 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 innovative 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.

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Senior Machine Learning Engineering Manager

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 Safety AI Systems? As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences. You Will - Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale. - Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent. - Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step. - Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready. - Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders. - Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives. - Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges. You Have - 5+ years of experience building large-scale machine learning systems in production environments. - Proven track record of designing, developing, and launching ML models from scratch into production. - 2+ years of hands-on experience with vision language models or other foundation model technologies. - Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale. - Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces. - Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact. - Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals. - High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members. - Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines). - Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning. You Are - Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact. - An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team. - A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact. - Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations. - Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus. - Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute. - Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe. 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 $345,040 - $399,420 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.

Who We Are Second Dinner is an award-winning independent game development studio. Just how many awards, you ask? A whopping 22 in total so far… Including Mobile Game of the Year from both The Game Awards and DICE, Best Strategy Game from IGN, and the prestigious Apple Design Award for Innovation. Yes, that's a lot of awards! But these accolades don't magically materialize, they're a testament to the amazing folks who make up our studio. You could be the next addition to our award-winning team! Continue reading to find out more. For our debut game, MARVEL SNAP, we've partnered with Marvel (Trust us, we had to pinch ourselves too!). We've got other SUPER FUN (but still secret) projects in the works and this role is a chance to be a part of something new, and special at the company. As a remote-first company, we value diversity and encourage applications from everyone who can bring something unique to the table. Our Team At Second Dinner, we believe that with great people and a great environment, we can create great games and player experiences. The Data & AI team is at the center of that — we turn player data into insight, and insight into action. Our team spans analytics, data science, data engineering, and AI/ML, and we work closely with every part of the company to help make smarter decisions faster. We care deeply about the quality of our data, the rigor of our analysis, and finding the most impactful questions to answer. At the same time, we keep a close eye on what's new — whether that's the latest in AI tooling, experimentation methodology, or game analytics — and we're always looking for ways to apply it. The work here is collaborative, fast-moving, and directly tied to how Second Dinner grows and what our players experience. Your Role We are seeking a Principal Data Scientist, Growth Analytics to help scale the growth engine behind Marvel Snap and future Second Dinner titles. This role will report into the VP, Data & AI. Partnering closely with our Growth team, you will turn data into faster, smarter acquisition decisions — building the measurement systems, predictive models, and analytical frameworks that power sustainable player growth across multiple games. We move at startup speed and are looking for someone experienced and scrappy who can help scale our self-publishing analytics capabilities from one title to many while ensuring Second Dinner remains an industry leader in performance marketing. What You’ll Do: - Shape UA Measurement Strategy: Define and evolve the analytical framework for how Second Dinner evaluates paid growth — including measurement methodology, attribution philosophy, and the roadmap for predictive capabilities. Your work will directly inform budget allocation, channel strategy, and how aggressively we scale acquisition across markets. - Drive Paid User Acquisition Performance: Collaborate with the Director of Growth to optimize campaigns across channels. Surface trends, flag risks, and accelerate decisions through sharp analysis and scalable tooling (reports, dashboards). - UA Performance Deep Dives & Analysis: Scope and execute UA analysis across key dimensions to uncover insights that inform media mix, geo strategy, and budget decisions. - Build & Deploy Predictive Models: Design, train, and deploy models that predict cohort LTV, payback periods, and ROAS — informing how aggressively we invest across channels and geographies. Own the full lifecycle from feature engineering through production deployment, and clearly communicate model performance and limitations so insights translate into confident spend decisions. - Measurement, Attribution & Data Quality: Own the measurement and attribution framework across platforms (AppsFlyer, Firebase, Meta), ensuring reliable signals for evaluating channel performance. Monitor attribution windows, event quality, and fraud signals to ensure accurate measurement. Validate performance data across UA systems and marketer-operated platforms, acting as the first line of QA on the UA side and escalating discrepancies to Data Engineering as needed. - Incrementality & Experimentation: Design and execute incrementality tests, geo lift studies, and media mix analyses to validate the true impact of UA spend — going beyond last-touch attribution to build a more complete picture of channel contribution across platforms and titles. Establish a rigorous experimentation framework that informs how Second Dinner scales investment with confidence. - Establish & Evangelize Measurement Best Practices: As the senior-most analytics voice on the Growth team, define the standards for how Second Dinner measures, attributes, and evaluates UA performance — and ensure those standards scale as we expand to additional titles. Serve as an internal resource and thought partner for analysts and data scientists across the organization, raising the bar on analytical rigor and building a culture where data-driven decision-making is the norm. - Collaborate Cross-Team: Partner with Product Analytics and Data Engineering to interpret business performance and ensure reliable measurement across acquisition and product funnels. What You’ll Need: (Even if you don’t check every box. If this role excites you, we’d still love to hear from you!) - 7+ years in growth analytics, UA data, or marketing performance roles (mobile or gaming strongly preferred) - Strong understanding of marketing channels (Meta, Google, ASA, DSPs), and how media buying connects to attribution, ROAS, LTV, and optimization - Experience building cohort-based analysis to guide geo, channel, and budget decisions - Hands-on with attribution platforms (e.g., AppsFlyer, Adjust, or Singular), including event setup, SKAN, and postback QA - Proficiency in building dashboards and visualizations to track UA performance, pacing, and results using tools like Tableau, Looker, or similar - Fluent in SQL and Python, with experience using both for analytical workflows and model development - Experience with cloud data platforms (e.g., Snowflake, Redshift, Databricks) and data libraries such as pandas, Spark. - Strong QA instincts and a bias toward proactive data validation and troubleshooting - Able to communicate data insights clearly across teams and identify opportunities in ambiguous situations Nice to Have, But Not Necessary: - Experience in a mobile-first UA or analytics role, with additional exposure to cross-platform or PC titles a plus - Practical use of AI tools or agentic workflows to automate analysis, improve reporting, or experiment with creative analytics approaches - Familiarity with privacy-constrained measurement frameworks (SKAN 4.0+, Privacy Sandbox) and strategies for maintaining signal quality as platform-level attribution erodes The total compensation for this position includes a new hire offer base salary range of $180,000 - $200,000 USD + equity + comprehensive benefits + potential for discretionary performance bonuses. Individual pay within this salary range may span multiple levels within the discipline and is determined by assessed job-related skills, experience, relevant education or training. It also factors in market demands and business needs. The disclosed range is not adjusted based on location and may be subject to change or modification based on business needs in the future. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of the benefits and perks at Second Dinner: - Medical, Dental, and Vision insurance plans with Second Dinner paying 100% of premiums for employees and 75% for dependents for many plans - 401(k) contribution with no waiting period - 16 weeks paid parental leave with no waiting period - Home office improvement bonus - Paid Vacation & Sick time - Up to 10 BetterHelp sessions covered each benefits plan year - Remote-first with core overlap hours between 10AM and 4PM PT - Company Summer Holiday shutdown (week of July 4) - Company Winter Holiday shutdown (Dec 25-Jan 1) - Company Events - In-person all-hands gathering, and virtual events throughout the year We are an equal opportunity employer that places high value on diversity and inclusion. We do not discriminate on the basis of race, color, ancestry, national origin, religion, age, disability status, sex (including pregnancy), gender, gender identity, gender expression, sexual orientation, medical condition, genetic information, marital status, military status, or veteran status. You must be legally authorized to work and reside in the United States. We do not sponsor visas or support employment outside the U.S. for this role.

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DevOps Engineer SE II - GCP & AI

Negotiable

DevOps Engineer SE II - GCP & AI Keywords Studios · Pune, India (Hybrid) · Full-time · Posted 2026-03-30 Workplace: hybrid Department: Helpshift - Engineering Description Responsibilities: - Infrastructure Ownership: Own Helpshift production services and ensure complete monitoring coverage, troubleshoot and fix production issues. - Infrastructure as Code (IaC): Design and maintain scalable GCP infrastructure using Terraform o - AI Orchestration & LLMOps: Build deployment pipelines for AI agents, managing vector databases (e.g., Vertex AI Search, Pinecone, Weaviate, ElasticSearch) and model endpoints. - Security (DevSecOps): Implement "Security-by-Design," including IAM least-privilege access, secret management (Secret Manager), and automated vulnerability scanning for AI workloads. - CI/CD Excellence: Architect high-velocity pipelines for both traditional microservices and AI model prompts/configurations. Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes. - Observability: Set up comprehensive monitoring for system health and LLM-specific metrics (latency, token usage, and cost) - Cloud Governance: Optimise GCP costs and manage resource quotas, especially for GPU/TPU-intensive AI tasks. - Cross Cloud Deployment: Establish & Optimise the connectivity among apps deployed in different cloud environments (AWS < GCP) Requirements Requirements - Relevant experience of 6+ years and above - Expert-level Google Cloud Platform (GCP) administration skills: GKE, Cloud Run, Vertex AI, GCS, NEG etc - Experience deploying Vector Databases (Pinecone, Weaviate, ElasticSearch or Vertex Search) and managing API rate limits/throttling for LLM providers. - Setting up Cloud Monitoring/Logging specifically for AI metrics: token consumption, inference latency, and model error rates. - In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu) - Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles. - Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments. - Proficiency in Python and Bash - Experience in designing and building solutions that are highly scalable, fault tolerant and cost-effective - Experience with IaaC tools like Ansible, Terraform. - Ability to analyse bottlenecks in architecture and quickly debug to reach a resolution for issues - Have an automation mindset and ability to reason and work with complex systems. - Excellent communication and documentation skills - Quick learner and good mentor for junior team members Apply Apply at Keywords Studios --- Powered by Workable

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[2026] Senior Machine Learning Engineer, Account I...

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 SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY ACCOUNT IDENTITY? Safety and Civility is Roblox's #1 priority. Our mission is to keep the platform secure by establishing a deep understanding of our users. As a Senior Machine Learning Engineer within the Account Identity team, you will be instrumental in developing our in-house Facial Age Estimation product and centralizing age assurance controls. If you are passionate about solving complex, high-impact problems in an adversarial landscape, this is the team for you. You Will: - Build high-precision facial age estimation and real-time liveness checks to ensure a safe user identity system . - Develop and implement deepfake detection and 3D facial embeddings to defend against fraud and identity spoofing. You Have: - Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas. - Expertise in one or more areas: computer vision, facial recognition, deepfake detection, fraud detection. - Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems - Experience working with large-scale data logs and tools like Spark and SQL to extract meaningful behavioral features. - The ability to build and productionize end-to-end ML development life cycles, including data engineering and scoring algorithms. You Are: - Resourceful: You're adaptable in any situation and can always find a path forward in the face of evolving threats. - Analytical: Excited to investigate large, ambiguous datasets to find the "signal in the noise" of billions of accounts. - User Oriented: You understand that safety measures must be balanced with a seamless experience for our legitimate community members. - Team Oriented: You are a sought-after mentor who lifts up your peers and builds a collaborative, high-performance environment. - Mission Oriented: You are laser-focused on keeping Roblox safe and are willing to take bold, strategic risks to achieve a billion-user scale safely. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As you apply, you can find more information about our process by signing up for Speak_. You'll gain access to our comprehensive guides, FAQs, and modules designed to help you ace the hiring process. 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 $195,780 - $242,100 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.

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. Founded in 2010 by the original creators of the Call of Duty franchise, Respawn was created with the philosophy that when accomplished people have creative freedom, they'll make extraordinary games that achieve the unexpected. From our roots as an indie studio to joining the roster of studios at Electronic Arts, this remains our guiding principle. Our shipped titles include critically acclaimed multi-platform games Apex Legends, Titanfall, Titanfall 2, Star Wars™ Jedi: Fallen Order, and Medal of Honor: Above and Beyond. Join us for the opportunity to create groundbreaking games with some of the best developer talent in the industry. Apex Legends QV is looking for an experienced technology leader to accelerate our adoption of AI tools and tech. Reporting to senior QV leadership, you will help define and implement a multi-year AI strategy supporting our product goals and the needs of the business. You'll participate in evaluations of future technologies, recommending solutions to QA leaders, and partnering with QA and development teams to define requirements, develop onboarding materials, and guide successful implementation. Responsibilities - Analyze and identify AI solutions aligned with our quality mission. - Conduct and organize tech evaluations, measuring reliability, accuracy, and legal risk. - Prepare cost-benefit and comparison reports to inform tooling investment. - Provide regular reporting on AI/ML efforts, focusing on cost vs reward. - Gather use cases and translate them into engineering requirements. - Create documentation and training for new tools. - Measure AI/technology investment success using usage data and feedback. - Champion AI and automation technologies, promoting return on investment and sharing successes. - Architect systems for AI-driven data, surfacing balance issues, design flaws, and exploits. Qualifications - 5+ years' experience leading technology adoption in multinational organizations - Knowledge of AI prompting and optimizing response quality. - Hands-on LLM experience and awareness of ideal use cases. - Convert data/results into applicable business insights. - Deliver technical concepts to non-technical audiences. 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.

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Principal Product Manager - AI Security (CoreAI)

Negotiable

Lead the AI Security product area within Azure AI Foundry, defining the long-term vision, strategy, and roadmap for securing AI applications and agents. Design and deliver security capabilities that help organizations identify, mitigate, and monitor AI attack patterns, including prompt injection, jailbreaks, data exfiltration, malicious tool calls, and model misuse. Partner with security engineers, red teams, and AI researchers to translate emerging AI attack techniques into productized protections. Work closely with enterprise security leaders, CISOs, and security practitioners to understand real-world AI security challenges and design solutions that fit existing security operations. Drive 0-to-1 product development, bringing new AI security capabilities from early concept and experimentation through production launch and adoption. Establish metrics for AI security posture and product success, including risk coverage, detection efficacy, and customer adoption. Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Familiarity with modern cybersecurity concepts, such as threat modeling, secure system architecture, and attack surface analysis. Extensive familiarity with AI system architectures, including LLM applications, agents, and tool-using AI systems. Understanding of common AI attack patterns, such as prompt injection, jailbreaks, sensitive data leakage, indirect prompt injection, and adversarial manipulation. Experience working with security engineers, red teams, or security operations teams. Ability to engage credibly with CISOs, security architects, and security engineering teams. Demonstrated experience building 0-to-1 software products or platforms. Experience delivering products in enterprise security, developer tools, or cloud infrastructure. Familiarity with AI security testing, evaluation, or automated red teaming techniques. Strong collaboration skills with engineering, research, and security teams across large organizations. Proven communication skills and ability to translate complex technical security concepts into clear product strategy and customer value.

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. Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page. Central Technology is a dynamic community of experts, innovators, and change-makers united by a single, shared vision: To revolutionize interactive entertainment and inspire creativity through transformative technology. Our industry-leading services and solutions are developed collaboratively with teams across EA to enhance creativity and improve outcomes for our partners and players. Central Technology is a force multiplier, working at the intersection of creativity, technology, and play to power our enterprise. Our teams develop EA's proprietary game engine, drive cutting-edge research, manage innovative infrastructures, create safety and security, and transform data into inspiration. Together, we keep EA moving so it can do what it does best — build unforgettable experiences for people who love games The Creative Innovation team is the driving force behind EA's cutting-edge research, 3rd-party partnerships, and content creation technologies. From AI-powered tools for character animation to groundbreaking world-building systems, this team researches, innovates, and integrates transformative technologies into creative workflows. By joining Creative Innovation, you'll work at the intersection of creativity, technology, and design solutions that redefine immersive gaming experiences. If you're looking for a team that combines the agility of a startup with the impact of a global AAA, then we're looking for you. Job Description We’re looking for an experienced Senior 2D artist to evaluate, shape, and showcase AI-enabled creative tools and workflows for game concept art, textures, materials, and visual ideation. You will use internal and external AI tools to create high-quality exploratory content that shows emerging capabilities beyond current production constraints. You will focus on experimentation, practical application, and promoting adoption across EA. You’re excited about the opportunity to be innovative and leverage your art skills with new tools and workflows. This is a 12-month temporary full-time role and will be hybrid onsite/remote at our Vancouver or Montreal studio. Responsibilities: - Work with AI-assisted workflows for concept art, textures, and materials - Evaluate output quality, controllability, and production viability - Deliver structured feedback to product and engineering teams with specific improvement recommendations - Produce high-quality examples, including iterations and before/after comparisons - Define quality benchmarks for AI-assisted content - Create guides, walkthroughs, and sample projects for internal use - Present workflows and findings through demos or documentation Qualifications: Required - 6+ years of experience as a 2D artist in games, film, or related industries - Expertise in concept art, texture creation, or material design - Portfolio demonstrating high-quality visual work and iteration process - Experience using game-ready workflows (e.g., PBR textures, production pipelines) - Hands-on experience evaluating or integrating new tools into art workflows Nice to Have - Experience with AI-assisted or procedural art tools - Experience creating internal documentation or training materials We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD Pay is just one part of the overall compensation at EA. In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance. 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.

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Senior Product Manager, AI Content & Communication...

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. Every day, Roblox users play over 7M experiences, make over 270M avatar updates, send 6+ billion chat messages and talk for 1+ million hours using voice. Safety is Roblox’s top priority. As part of the Safety Group, the Content and Communications Safety team builds AI features and tools to automate review and moderation of all of these activities on the platform. Areas that the Content & Communications Safety Team works on include: - Experience reviews - The components that make up those experiences (textures, 3D meshes, models, scripts) - Avatars, Avatar items - Audio, Video - Text chat and voice conversations - and other content types As a Senior Product Manager on the team, you will work closely with leadership, product, engineering, data science, and operations teams across Roblox. In addition, you will drive critical company-level KPIs that affect how Roblox keeps the platform safe and civil. As we bring new immersive features and content types to Roblox, you will be responsible for leading the product in one of the most challenging and vital roles at Roblox. You will - Lead safety features focused on automation of content reviews by leveraging AI - Stay one step ahead of malicious actors and their adversarial tactics - Work across many modalities of Machine Learning (image, text, audio, video, 3D, code) - Ensure our users have a great experience end to end when they are creating content on the platform - Solve problems that are unique in the industry due to the large population of younger users on Roblox - Prepare and manage product requirements from conception to launch - Balance input from a wide variety of internal stakeholders and partners with potentially competing priorities and timelines You have - 5+ years of experience in product development roles - Experience in building and deploying AI-based solutions at a large scale and in real time - Experience in Trust & Safety related functions or other areas with adversarial dynamics. Preferably in a user generated content environment - Understanding of social platforms (familiarity with game engines would be a plus). - Extreme clarity in communication. Ability to summarize complex situations in a few sentences and effectively articulate your vision to c-staff level executives, cross functional partners, and other key stakeholders - Dynamic and flexible mindset, creating opportunity out of uncertainty and ambiguity 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 $280,540 - $330,950 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.

ABOUT YOU We are seeking a hands-on and forward-thinking AI Engineer to help build and operate the intelligent systems that power Xsolla's infrastructure. As part of our Infrastructure Team, you will implement AI-driven solutions across cloud optimization, security, automation, and developer support — helping us shift from manual and reactive operations to predictive, self-optimizing infrastructure management. The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration. You are comfortable working with LLMs, ML pipelines, and AI automation frameworks, and you know how to apply them to real operational problems at scale. You thrive in environments that require both technical depth and the ability to experiment, iterate, and deliver. If you're passionate about using AI to transform how infrastructure is built and operated — and want to be part of a team that is driving that transformation at a global gaming company — we'd love to hear from you. ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. For more information, visit xsolla.com. Responsibilities: Qualifications: Nice To Have: Note This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI Infrastructure Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal. In this role, you will - Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML) - Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment - Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals - Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem - Drive alignment around approach and outcomes with Trust & Safety, Product, Programming, Legal, and Policy partners across the team and organization, managing expectations and trade-offs - Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements - Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done What we're looking for - 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes - Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus - Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight - Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making - Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts - Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals - Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org - Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action - Evidence of mentoring others on the team/product org (coaching, reviews, raising standards) - Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement) EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

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. Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page. Central Technology is a dynamic community of experts, innovators, and change-makers united by a single, shared vision: To revolutionize interactive entertainment and inspire creativity through transformative technology. Our industry-leading services and solutions are developed collaboratively with teams across EA to enhance creativity and improve outcomes for our partners and players. Central Technology is a force multiplier, working at the intersection of creativity, technology, and play to power our enterprise. Our teams develop EA's proprietary game engine, drive cutting-edge research, manage innovative infrastructures, create safety and security, and transform data into inspiration. Together, we keep EA moving so it can do what it does best — build unforgettable experiences for people who love games The Creative Innovation team is the driving force behind EA's cutting-edge research, 3rd-party partnerships, and content creation technologies. From AI-powered tools for character animation to groundbreaking world-building systems, this team researches, innovates, and integrates transformative technologies into creative workflows. By joining Creative Innovation, you'll work at the intersection of creativity, technology, and design solutions that redefine immersive gaming experiences. If you're looking for a team that combines the agility of a startup with the impact of a global AAA, then we're looking for you. Job Description We are looking for a Senior 3D artist to evaluate, shape, and showcase AI-enabled workflows for 3D content creation, including models, environments, and scene development. You will use internal and external AI tools to create high-quality exploratory content that shows emerging capabilities beyond current production constraints. You will focus on experimentation, practical application, and promoting adoption across EA. You’re excited about the opportunity to be innovative and leverage your art skills with new tools and workflows. This is a 12-month temporary full-time role and will be hybrid onsite/remote at our Vancouver or Montreal studio. Responsibilities: - Work with AI-assisted workflows for modelling, environments, materials, and scene assembly - Create 3D models, textures, environments, or small scenes demonstrating AI-assisted pipelines - Develop examples aligned with real-world production use cases - Define quality benchmarks and best practices for AI-assisted 3D content - Create guides, walkthroughs, and sample projects for internal teams - Present workflows and findings through demos and documentation - Evaluate output quality, performance impact, and production viability within real-time constraints - Deliver structured feedback to product and engineering teams with specific improvement recommendations Qualifications: Required - 6+ years of experience as a 3D artist in games, film, or related industries - Expertise in environment art, modelling (hard surface or organic), or scene assembly - Portfolio demonstrating high-quality work and end-to-end asset or environment creation - Experience working with real-time engines and production pipelines (e.g., optimization, lighting, materials) - Experience evaluating or integrating new tools into 3D workflows Nice to Have - Experience with AI-assisted or procedural 3D tools - Experience building small interactive or playable scenes - Experience creating internal documentation or training materials We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD Pay is just one part of the overall compensation at EA. In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance. 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.

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal. In this role, you will - Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML) - Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment - Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals - Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem - Drive alignment around approach and outcomes with Trust & Safety, Product, Engineering, Legal, and Policy partners across the team and organization, managing expectations and trade-offs - Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements - Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done What we're looking for - 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes - Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus - Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight - Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making - Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts - Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals - Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org - Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action - Evidence of mentoring others on the team/product org (coaching, reviews, raising standards) - Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement) EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

P

Staff Software Engineer - AI Tools

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. About the Role We’re looking for a Staff Software Engineer to build AI-powered tools and integrations that plug directly into game engines, editors, clients, and backend services. You’ll deliver high-quality C++ integrations across proprietary studio engines, ship robust build/QA automation, and partner with multiple PlayStation Studios teams to make AI an everyday part of development. What You’ll Be Doing - Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI (LLMs and related systems) into game clients, servers, and build tools. - Ship performant, memory-aware C++ by profiling, optimizing, and debugging across PC/console builds with tight frame budgets. - Design stable API surfaces for game teams (C++/C API, gRPC/HTTP) with versioning, telemetry, and backward compatibility. - Stand up CI/CD for game builds and tools (UBT or proprietary build systems; artifact packaging; nightly/regression suites; distributed/accelerated builds). - Automate QA for tooling and in-engine features using engine test frameworks and headless runs, and wire results into CI and dashboards. - Implement production LLM integrations (prompting, RAG/tool calls, guardrails/safety, observability, timeouts/retries, and cost controls). - Collaborate with studio engineering, tech art, design, and QA to land integrations across varied codebases and pipelines. - Document patterns, provide sample projects, and deliver internal training so solutions scale across PlayStation Studios. - Influence standards and tech choices for AI in our dev stack, and contribute to shared libraries and best practices. Qualifications - You have at least five years of experience building production software in modern C++ (C++17/20) with strong fundamentals in memory management, concurrency, performance, and debugging. - You have shipped tools or runtime features in AAA engines, including work on plugins/modules, asset and build pipelines, and editor/runtime integration. - You have delivered features or tooling that integrate with LLMs or other ML services, and you understand prompt design, evaluation, safety, and telemetry for production usage. - You have implemented engine-level automated testing (functional and integration), including headless execution and CI gating. - You work fluently with large code/asset repositories and are comfortable with both Perforce and Git. - You communicate clearly across disciplines and translate diverse studio requirements into pragmatic, maintainable solutions. - You write thorough documentation and favor well-tested, maintainable code. Nice to Have - You have built networking/service integrations for game backends (gRPC/HTTP) and implemented telemetry/observability (logs, metrics, traces). - You have packaged SDKs/plugins for multiple studios and managed semantic versioning and migration tooling. - You understand console platform requirements and certification workflows. - You are familiar with security, privacy, and responsible-AI practices in production systems. Please note; this position can be completed remotely from The UK 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.

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assasin's Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you're passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! As a Gameplay Animator (AI), you will be responsible for designing, integrating, and refining animation systems for non-playable characters (NPCs), both friendly and hostile. Your work will directly impact the player’s experience and must align with the Animation Director’s vision while respecting design constraints and technical requirements. What you'll do - Design and develop AI animation systems for non-player characters (NPCs) covering a wide range of behaviors. - Create animation solutions for basic locomotion , 3D navigation , combat behaviors , and hostage situations . - Process, clean, and enhance motion capture data with a high level of precision, taking engine constraints into account. - Export and integrate animations according to technical guidelines , in collaboration with technical animators, designers, and programmers. - Test, iterate, and validate animation systems directly in-game to ensure stability and visual quality . - Collaborate daily with the animation team, the Animation Director, programmers, and designers to deliver features on schedule. - Take ownership of the final quality of animated features delivered in the game. What you bring to the team - A minimum of 5 years of experience in video game animation. - Proven expertise in AI animation and animation system development . - Strong skills in motion capture data processing . - Solid understanding of technical constraints related to game engine integration . - A sharp eye for detail and visual quality . - An open and collaborative mindset , with the ability to find compromises when solving complex problems. - The ability to adapt to production changes and handle evolving challenges. - Comfort working within a multidisciplinary team while respecting both artistic and technical visions. - Familiarity with MotionBuilder is an asset. - Experience working on a shipped AAA title is a plus. What to send our way - A portfolio showcasing your best work (images or link). - Your CV , highlighting your experience, skills, and professional background.

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. The ATOM team is responsible for building the future of AI-driven game testing. As a Senior Machine Learning Engineer for ATOM, you will report to the Director of AI for Quality Verification Services (QVS). You will fulfill high-impact applied research goals and help execute a vision that brings EA's games to life. Your mission is to discover and evaluate AI methods that increase the velocity and quality of next generation interactive experiences. Our team impacts every title in EA's portfolio, and you will work with all types of AI technology to improve our titles. Your Responsibilities Include: Execute the AI/ML technology roadmap. You will work with our Director of AI and Lead Scientist to define and execute the RnD roadmap for next-generation game-testing solutions. Your applied research will involve areas such as agentic workflows, RL/IL agents, code quality evaluation, bug-prediction models, multi-modal foundation models and generative content evaluation. Your goal is to assess any relevant AI technology for product readiness, and your work will touch every game in the EA umbrella. Development Strategy. Help decide which parts of the roadmap we should develop internally, which parts we should develop with external partners and which parts we should license . You will help build the team further. You will also have a significant compute budget to support your goals. Inform the development of robust AI platforms. ATOM's solutions will ultimately need to scale up to meet the needs of games across all of our studios. You will partner with other groups to inform them of what is required to scale these solutions. You will also define governance for data pipelines, simulation environments, and telemetry-collection systems that fuel rapid experimentation and development. Communicate outcomes. Work with the Development Director to communicate progress across the organization through reports, technical papers, demos, and prototypes that showcase improvements and help establish ATOM as an organizational leader in AI adoption. Stay current. Spend time in the literature and attend conferences to keep on top of advances in RL/IL, Computer Vision, and Natural Language Processing. Build & mentor a high-impact team. Help recruit, develop, and inspire top engineering talent and foster a collaborative, inclusive, and innovative culture that solves problems and provides value. Collaborate across the studio ecosystem. Coordinate with QA leadership, other research groups, enterprise teams and core game-development teams to integrate AI testing tools and ensure solutions tightly match use cases. Your Qualifications: - MSc in Computer Science, mathematics or related field - At least 8 years of experience working in AI engineering - Strong programming skills and understanding of software engineering practices - Experience working with both research and engineering contexts - Experience putting ML models into production - Experience leading other engineers Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD Pay is just one part of the overall compensation at EA. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

ABOUT YOU We are seeking a hands-on and forward-thinking AI Engineer to help build and operate the intelligent systems that power Xsolla's infrastructure. As part of our Infrastructure Team, you will implement AI-driven solutions across cloud optimization, security, automation, and developer support — helping us shift from manual and reactive operations to predictive, self-optimizing infrastructure management. The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration. You are comfortable working with LLMs, ML pipelines, and AI automation frameworks, and you know how to apply them to real operational problems at scale. You thrive in environments that require both technical depth and the ability to experiment, iterate, and deliver. If you're passionate about using AI to transform how infrastructure is built and operated — and want to be part of a team that is driving that transformation at a global gaming company — we'd love to hear from you. ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. For more information, visit xsolla.com. Responsibilities: Qualifications: Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

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[2026] Senior Machine Learning Engineer, Content S...

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. 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 SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. The Senior Machine Learning engineer on the Content Suitability team will tackle challenges including designing for scale from the beginning, improving Model Accuracy & Bias for content suitability, and creating Moderation Leverage by intelligently triaging content. You will: - Manage the end-to-end lifecycle of key large-scale ML models with billions of parameters—from initial data exploration and training to production deployment, monitoring, and ongoing optimization. - Work on implementation of machine learning solutions for safety-related systems. - Help to foster a culture of technical excellence and inclusivity. - Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement. - Collaborate with backend and ML engineers, and cross-functional teams to ensure deployment of models at a massive scale. You have: - Possess or pursuing a PhD or equivalent in Computer Science, Computer Engineering, Mathematics or a related field with solid fundamentals in one or more of the following: Computer Vision, Large Language Models (LLMs) and Deep Learning. - Familiarity with large-scale content understanding problems (e.g., text, image, video classification). - Experience with cloud-based ML platforms and infrastructure. - Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As you apply, you can find more information about our process by signing up for Speak_. You'll gain access to our comprehensive guides, FAQs, and modules designed to help you ace the hiring process. 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 $195,780 - $242,100 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.

T

AIプログラマー｜AI Programmer

Negotiable

チーム紹介/About the Hiring Team ライトスピード・ジャパンは、世界中のオーディエンス向けにオリジナルのAAA級アクションゲームタイトルの制作に特化しているゲーム開発スタジオです。著名なゲームディレクターとして知られる伊津野英昭（いつの ひであき）が率いる当スタジオは、東京と大阪の2つの拠点で活動しています。 柔軟で包括的な職場環境を提供し、ゲーム制作の限界を押し広げる才能と情熱にあふれるゲームクリエイターの参加を非常に歓迎しています。 LightSpeed Japan Studio is a game development studio dedicated to crafting original AAA action game titles for global audiences. Led by industry veteran Hideaki Itsuno, the studio operates across two locations in Tokyo and Osaka. The studio offers a flexible and inclusive work environment and actively welcomes game creators who are full of talent and passion for pushing the boundaries of game development. 仕事内容/What the Role Entails 仕事内容 1. プレイヤーキャラの 行動AIの設計・実装（戦闘AI・探索AI等） 2. Behavior Tree、Utility AI、State Machine などを用いた AIアーキテクチャ構築 3. Navigation Mesh、Pathfindingの実装・改善 4. 囲み・包囲・回避行動など 高度な戦術行動のロジック設計 5. レベルデザイナー、ゲームデザイナーとの連携によるAI仕様の検討 6. AI挙動のデバッグ、挙動調整、パフォーマンス最適化 7. UE5を利用した AI関連システムの拡張およびツール改善 8. 学習系AI（ML、強化学習など）の導入経験がある場合は、 9. NPC行動最適化やテスト自動化への応用も担当可能 応募資格/Who We Look For 応募条件 1. C++ を用いたゲーム開発実務経験 2. コンシューマーゲーム、もしくは中～大規模タイトルでのAI開発経験 3. Behavior Tree、State Machine等を用いた AIロジックの実装経験 4. Navigation、Pathfinding、Movement 制御の基礎理解 5. ゲームデザインの意図を汲み取りAI仕様に落とし込むコミュニケーション力 6. デバッグ能力、およびAI挙動改善のための分析力 7. 人型AI/仲間AI経験がある 8. Behavior Tree、Utility AI、State Machine、GOAP (Goal-Oriented Action Planning):などを用いた AIアーキテクチャ構築（意思決定）経験 9. Navigation Mesh、Pathfinding、steering行動、フォーメーション移動の実装・改善経験 10. 集団制御・メタAI：個々のAIではなく、ゲーム全体（敵・仲間AI・NPC）の管理経験 11. 会話システム：リアルタイムのキャラクター同士の雑談会話、戦闘会話などの開発経験 一緒に働く魅力/Why Join Us? 勤務地 大阪（JR大阪駅JP TOWER OSAKA）、東京（虎ノ門ヒルズビジネスタワー）※希望に添います 賃金 年収額：応相談（昇給/賞与あり） ※経験・スキル等を考慮し、当社規定により優遇します。 ※一般社員の場合、固定残業代月35時間分が含まれます。 管理職の場合、固定残業代10時間分が含まれます。 労働時間・休日 就業時間 09:30 ~ 18:30　 休憩時間 60分 フレックスタイムあり 完全週休２日制（土日・祝日） 有給休暇：入社初年度は、入社月により期間按分付与。在籍年数踏まえて最大22日 年末年始休暇（12/30～1/3） 病気休暇（有給）：12日/年（有給休暇とは別途付与） 福利厚生 ＜各種保険＞ 健康保険 、雇用保険、 労災保険、 厚生年金保険、 総合福祉団体定期保険（GTL） 業務災害安心総合保険（GPA）、団体長期障害所得補償保険（GLTD） 海外旅行保険 ＜各種手当＞ 通勤手当(上限5万円/月) 、通信手当（上限1万円/月）、 自己啓発手当（上限2万円/月）、 平日に出社した場合食事補助1800円/日、定期健診手当（上限7万5千円/年1回） ＜支援制度・その他待遇＞ フリードリンクコーナー 、ギフトカード（お盆、正月の2回支給、2万円/1回） 従業員支援プログラム(EAP) 、慶弔見舞金 、永年勤続賞/休暇 この求人広告に記載されているポリシー（給与、福利厚生、労働条件などを含むがこれに限らない）は、会社のリアルタイムポリシーに応じて調整される可能性があります。 平等な雇用機会を重視するテンセント/Equal Employment Opportunity at Tencent テンセントは、雇用機会の均等を最重要視しています。私たちは、多様性がイノベーションを促進し、ユーザーやコミュニティに対してより良いサービスを提供する原動力になると確信しています。 社員一人ひとりが十分なサポートを受け、自身の目標と会社の目標を共に達成できるよう、モチベーションを高められる環境づくりを大切にしています。 As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals. 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.

ABOUT YOU You are a prototyping and AI expert who thinks in flows, experiments, and code — and who brings strong UI/UX skills to everything you build. You move fast: your first instinct when exploring a new idea is to open Claude Code or Cursor, not Figma. You build interactive, working prototypes using AI-assisted coding tools, and you use design craft to make them feel polished and production-ready. You actively build AI-driven workflows (prompt → pipeline → result) and know how to ship things — working with engineers to take prototypes all the way to production. You’re comfortable with ambiguity and complex inputs, and you validate your work through real experiments and user feedback. You have solid UI/UX foundations — you design clear flows, understand visual hierarchy, and can produce high-fidelity interfaces in Figma when needed. But your superpower is the ability to collapse the gap between idea and working product using AI and code. You don’t manage a team directly, but you own the quality of what you build and naturally align business, design, and engineering around your solutions. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Qualifications & Skills Nice to Have Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI Prototyping Expert, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

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Data Science Intern, Influencer Marketing AI Appli...

Negotiable

About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails We are looking for an Associate Data Scientist to help build AI-powered capabilities for our influencer marketing platform. This role focuses on turning data and machine learning into practical product features—from creator discovery and content understanding to campaign optimization and performance prediction. You will work at the intersection of data science, product, and engineering, helping bring intelligent systems into real world use cases that drive measurable business impact. 1. Applied AI & Model Development Develop and deploy machine learning / AI models to enhance platform capabilities. Work on use cases such as: Creator segmentation and recommendation. Creator Content labeling and data analysis. Campaign performance prediction and optimization. Agentic Systems Developing. 2. Problem Framing & Experimentation Translate business and product problems into data science solutions. Design experiments to validate hypotheses and measure impact. Iterate on models based on performance, feedback, and real-world usage. 3. Data Pipeline & Feature Engineering Work with data engineers to define and build scalable data pipelines. Clean, process, and structure large datasets (creator data, content metadata, campaign performance). Design meaningful features that improve model performance. 4. Product Integration Collaborate closely with product managers and engineers to integrate models into the platform. Ensure models are production-ready, reliable, and scalable. Contribute to API design, model serving, and inference workflows. 5. Monitoring & Continuous Improvement Track model performance using appropriate metrics (accuracy, precision, recall, business KPIs). Maintain documentation and ensure reproducibility. Who We Look For Core Values Integrity – You prioritize correctness, transparency, and responsible use of data. Gamer Native – You understand gaming ecosystems and player/content dynamics. Pop Culture Fluent – You are familiar with creators, platforms, and digital trends. Tech-Savvy – You are curious and hands-on with emerging AI technologies. Technical Skills Strong foundation in machine learning and statistics. Proficiency in Python and common ML libraries (e.g., PyTorch,scikit-learn). Experience with data processing (e.g., pandas, SQL). Familiarity with LLMs, NLP, or recommendation systems is a strong plus. Understanding of model deployment (APIs, batch/real-time inference) is preferred. Data & Product Thinking Ability to translate ambiguous business problems into data science solutions. Strong analytical thinking and hypothesis-driven approach. Understanding of how models create value in a product context (not just offline metrics). Execution & Collaboration Ability to work cross-functionally with product, engineering, and business teams. Good communication skills—able to explain complex models in simple terms. Strong ownership and ability to iterate quickly. Nice to Have Experience in influencer marketing, advertising, or creator platforms. Familiarity with social media data (e.g., YouTube, Twitch, TikTok ecosystems). Experience with embeddings, vector databases, or retrieval systems. Basic knowledge of data engineering or MLOps workflows. Example Projects You Might Work On Build a creator discovery engine using embeddings + similarity search. Develop a content understanding pipeline (tags, sentiment, brand safety). Train a campaign ROI prediction model to guide budget allocation. Integrate LLMs to improve tool efficiency and automate workflows. 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.

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Data Scientist who possesses a passion for both games, and big data. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. WHAT WE DO - The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making. - We partner with multiple departments across the company to design and implement data and pipelines. - We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. - The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games. RESPONSIBILITIES - Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate. - Assure Rockstar’s ongoing competitive advantage by providing high quality insights and in-depth analyses, aligned to strategic initiatives and design intentions. - Tell impactful stories with data through insightful, actionable reports and presentations. - Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data. - Identify and lead analytic value-add projects and experiments aligned with long-term strategic initiatives. - Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities. - Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions. - Help mentor and develop the skillsets of the junior team members within your team or department. REQUIREMENTS - 5+ years in a data science role required. - Experience in writing production-stable code (preferably PySpark), pushing models and data pipelines to production, and iterating on models in production. - Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference. - Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression. - Excellent SQL skills and experience using Python for machine learning / statistical analysis. - Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau. - Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders. - Strong problem-solving skills with the ability to reconcile technical and business perspectives. - Passion for video games and knowledge of the industry. PLUSES Please note that these are desirable skills and are not required to apply for the position. - Experience with Databricks and MLFlow. - Graduate degree (MBA, MSc or Master’s, PHD), an asset. - Game industry experience, an asset. - Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background. HOW TO APPLY Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. LI-AH1

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. XO AI Labs - Organization (EA Experiences / XO) Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment. To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together. You will be the hands-on technical artist/producer , reporting to the head of XO AI Labs. You will design , prove , and productionize AI-powered creative workflows, creating creative and reliable image, video, and audio pipelines for creative and production teams. You'll architect the creative workflows for an end-to-end AI content creation and deployment solution (from dataset & prompt systems through approvals, versioning, and channel delivery). You will work in a startup-like environment : define requirements, rapidly prototype, iterate with stakeholders, and set new standards using the latest tools and models. You're creative, innovative, self-motivated, team-first , and equally strong working independently. You will create image, video, and audio pipelines and workflows that enable creatives to spend more time being creative. You will be a hybrid worker, collaborating with teams 3 days a week from the office ; international travel to collaborate with global teams is an added bonus. Responsibilities - Prove new AI based creative workflows: Rapidly prototype AI enabled image/video/audio pipelines, run technical validations, and draft playbooks for creative and production teams. - Own the end-to-end workflows: Specify requirements, data flows, and interfaces across briefing, generation, edit/review, rights/approvals, localization, and QC - Model & tooling mastery: Operationalize precision controls (e.g., LoRA, Control/conditioning, pose/layout, style transfer, in/outpainting, frame interpolation/upscaling) to deliver brand-true high quality visuals at scale. - Production integration: Connect workflows with source control, asset management/DAM, project trackers, render/encode farms, and publishing endpoints; define observability (quality gates, telemetry, cost). - Guardrails & governance: Embed IP usage, approvals, disclosures, and policy compliance into pipelines; define acceptance criteria, review checklists, and incident handling - Thought leadership: Provide thought leadership to our organization, promote "what could be"; lead “prove, pilot, and production” efforts; facilitate showcases and workshops for global partners. - Global collaboration: Coordinate with studios and regional teams; plan international on-sites to unblock adoption and ensure workflows meet local market needs. Lead the creation of image/video/audio hyper-culturalization and personalization at scale with brand-true creative. Qualifications - 8+ Years experience with production content creation (images, videos, etc...), 2+ years integrating AI into content production - 4+ years of leader experience, building, scaling, and leading teams - Demonstrated experience building AI-driven creative pipelines (image/video/audio) and putting them into production for marketing or production teams. Experience collaborating or working for creative agencies. - Hands-on with visual diffusion workflows, prompt & context systems, precise micro-adjustments (control/conditioning, adapters, fine-tuning/LoRA), and quality gates. - Practical video generation/editing experience (text-to-video, image-to-video, temporal consistency, editing/Upscaling/Interpolation) for campaign use. - Strong creative and production mindset : versioning, asset QC, rendering/encoding, delivery specs, performance & cost tracking. - Image and video model tuning and LoRa creation . Driving unique brand and style consistency in creative and production assets. - Ability to operate in a startup-like setting: requirements discovery, rapid prototyping, iterative delivery with measurable outcomes. - Collaboration & influence across creative, production, engineering, and legal/policy; excellent training & documentation skills. - Creativity , critical thinking , and excellent ability communicate complex concept to a non-technical audience (required). - Experience with Adobe Photoshop, Lightroom, ComfyUI, Veo, Nano Banana, diffusion models, controlnets, LoRa's, etc… - Willingness and ability to travel internationally Preferred Qualifications - Experience building or integrating end-to-end content platforms (brief, generate, review, approve, localize, and deploy), including telemetry/observability, cost controls, and quality controls - Background in motion/3D and creative tooling (e.g., After Effects/Premiere, Blender, Nuke, Unreal/Unity) and strong design fundamentals (typography/layout). - Familiarity with brand/IP approvals, rights management, and global campaign delivery. - Experience developing solutions leveraging generative engineering solutions (Cursor, Kiro, Claude Code, etc…) 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.

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal. In this role, you will - Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML) - Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment - Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals - Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem - Drive alignment around approach and outcomes with Trust & Safety, Product, Engineering, Legal, and Policy partners across the team and organization, managing expectations and trade-offs - Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements - Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done What we're looking for - 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes - Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus - Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight - Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making - Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts - Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals - Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org - Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action - Evidence of mentoring others on the team/product org (coaching, reviews, raising standards) - Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement) This role is open to multiple locations in North America (excluding CA, NY, & WA). ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

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Principal Applied Scientist - CoreAI

Negotiable

In this role you'll develop machine learning techniques that push the boundaries of safety, alignment, and trustworthy AI. You'll collaborate across product, research, and engineering teams to design, build, and maintain responsible AI systems that make an impact at scale—from early-stage development and experimentation to production, monitoring, and continuous iteration. Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Computer Science, Computational Linguistics or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) These requirements include but are not limited to the following specialized security screenings: Experience and familiarity with large language models (LLMs). Experience with and a solid foundation in large distributed systems, algorithms, and software engineering principles. Master's or PhD in Computer Science, Machine Learning, Data Science, or a related field. 5+ years of experience in a research/ML engineering or an applied research scientist position, ideally with a focus on AI safety. Have hands-on experience with deep learning and transformer-based models Excel at problem-solving and analytics, with a proactive approach to challenges Thrive in fast-moving environments where priorities shift and definitions evolve. Enjoy taking ownership end-to-end and learning whatever is necessary to get results. Comfortable working independently while thriving in cross-team collaborations. Understand methods for training and fine-tuning LLMs, including distillation, supervised fine-tuning, and policy optimization.

T

Generative AI Research Intern

Negotiable

About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails 1. Responsible for researching and developing advanced algorithms and technologies related to multimodal understanding, image and video generation, and 3D generation. 2. Design and optimize algorithm models for advertising business applications to improve the accuracy and efficiency of algorithms. 3. Research cutting-edge large model and Generative AI technologies, exploring their potential applications in game development scenarios. 4. Collaborate closely with team members to complete project development, testing, and deployment. Who We Look For 1. Master's degree or above in Image Processing/Computer Vision/Machine Learning/Artificial Intelligence or related fields. 2. Proficient in computer vision, machine learning, and deep learning algorithms. 3. Proficient in image or video generation algorithms, familiar with generative models such as GAN, Stable Diffusion, ControlNet, LoRA, and DreamFusio. 4. Proficient in 3D vision algorithms or 3D generation-related algorithms, such as monocular motion capture, lip sync generation, and 3D scene understanding and generation. 5. Strong programming skills, familiar with data structures and algorithms. 6. Strong analytical modeling, problem-solving abilities, good business understanding, teamwork, and communication skills, and excellent self-motivation. 7. Preference will be given to candidates with relevant top conference/journal papers or those who have achieved good results in related competitions. 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.

ABOUT YOU We are seeking a hands-on and forward-thinking AI Engineer to help build and operate the intelligent systems that power Xsolla's infrastructure. As part of our Infrastructure Team, you will implement AI-driven solutions across cloud optimization, security, automation, and developer support — helping us shift from manual and reactive operations to predictive, self-optimizing infrastructure management. The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration. You are comfortable working with LLMs, ML pipelines, and AI automation frameworks, and you know how to apply them to real operational problems at scale. You thrive in environments that require both technical depth and the ability to experiment, iterate, and deliver. If you're passionate about using AI to transform how infrastructure is built and operated — and want to be part of a team that is driving that transformation at a global gaming company — we'd love to hear from you. ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. For more information, visit xsolla.com. Responsibilities: Qualifications: Nice To Have: Note This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI Infrastructure Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

THE ROLE As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow. You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day. WHAT YOU'LL DO - Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph. - User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them. - Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product. - Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems. - Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes. - Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact. QUALIFICATIONS - Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline. - True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline. - Proficiency in Python and SQL. - Experience working with large-scale user or behavioral datasets. PREFERRED QUALIFICATIONS - Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. - Prior experience as a quantitative trader or quantitative researcher. - Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. - Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker. WHY TRIUMPH? - High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction. - High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth. - High energy. Passionate team who are proud of our work and velocity (16x year over year growth). - Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco.

ABOUT SLEEPER Sleeper is a sports-focused games platform with messaging at its core. We are a young and energetic company, fueled by a passion for sports and a drive for innovation. Our mission is to create a digital playground for sports fans and their friends to hang out. We bring people together over sports. ABOUT THE ROLE At Sleeper, we’re building the most engaging and trusted fantasy sports experience in the world, This role sits right at the intersection of growth, product, and platform integrity. As a Data Scientist focused on Risk and User Experience, you’ll shape how millions of users onboard, interact, and transact on our platform. You’ll go beyond dashboards, designing the systems that help us understand player behavior in real time, detect fraud before it happens, and create seamless experiences that don’t get in the user’s way. From instrumenting event-level data to building models that identify suspicious activity, your work will directly influence how we scale safely and intelligently. This is a highly cross-functional role where you’ll partner closely with product, engineering, and operations to turn data into action. You’ll help define what “good” looks like across the user journey, build the infrastructure to measure it, and continuously refine our systems as the landscape evolves. If you’re excited about solving complex, high-impact problems in a fast-moving environment, this is your chance to build from the ground up and make a meaningful impact on a rapidly growing gaming platform. WHAT YOU’LL DO - Driving Growth and User Experience - Collaborate with product leaders to optimize our onboarding funnel to identify friction and areas for improvement - Build scalable analytics systems for continuous evaluation of user journeys and defining key metrics - Building Data Foundation - Partner with engineering to implement real-time event tracking (Firebase, Amplitude etc) - Define schemas and instrumentation for user activity (account creation, sessions, device/IP data etc) - Develop Risk/Integrity Insights - Collaborate on systems that balance user friction with platform integrity - Build analytical frameworks to surface signals that inform adaptive user flows (dynamic verification requirements etc) - Establish prevalence measurement methodologies to quantify fraudulent activities on the platform - Partner with our operations teams to triage and mitigate any ongoing threats to the platform - Advanced Analytics - Classify transaction risk (payment method, account-level signals) - Apply clustering, anomaly detection etc to large scale behavioral data - Continuously evaluate implemented systems and iterate based on shifting market trends MUST-HAVE QUALIFICATIONS - 4+ years of industry experience in data science, economics, analytics, or machine learning engineering - Advanced Degree in computer science, statistics, or a related field - Proficiency in scripting languages (Python, R, or similar) and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow - Experience building or working with event-based analytics systems - Familiarity with machine learning methods for classification, clustering, or anomaly detection - Ability to work cross-functionally with engineering and product NICE-TO-HAVE EXPERIENCE - Experience working in Fraud/Risk/Trust & Safety teams - Experience developing internal tooling for analytics, operations, or user lifecycle workflows (e.g., onboarding, review systems, or risk signals), using platforms like Retool, Appsmith, or comparable frameworks - Experience working in real money gaming or other high-velocity transaction environments. - Comfortable writing light JavaScript in data/UI workflows BENEFITS - Competitive salary, equity - Comprehensive medical, dental, and vision insurance - 401(k) - Flexible working hours and remote work options - Opportunities for career advancement - Unlimited PTO WHAT WE OFFER Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. Competitive salary range of $130,000 to $175,000, plus benefits including Medical, Dental, PTO, 401k. Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app.

E

Machine Learning Engineer, Marketplace

Negotiable

About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. About the team Our Data team sits at the core of that growth. We build the ML systems, data pipelines, and platform capabilities that drive intelligent decisions across the business — from fraud and risk to personalisation and LTV. If you want your models to matter, this is the place. The Product Growth team this role attaches to is similarly oriented: We build technical solutions to enable more and better marketplace activity for our customers. The Problem You'll Own Recommendations are one of the highest-leverage surfaces on our marketplace. We already have a recommendation system in production — and now we want someone to take us to the next level. This isn't a "maintain and monitor" role. We're looking for an engineer who will challenge our current approach, prototype new ideas, run experiments, and ship models that measurably move engagement and revenue. You'll own the full recommendation ML lifecycle — from understanding user behaviour signals to deploying and iterating on production-grade models — and work closely with product, engineering, and data platform teams to make it happen. Responsibilities Requirements Nice to have What it’s like to work at Eneba *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

P

Engineering Manager, Machine Learning

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. Engineering Manager, Machine Learning Do you want to lead a team building advanced decision systems that directly shape monetisation strategies across the PlayStation ecosystem? Are you passionate about combining machine learning and operational research to solve complex, high-impact business problems at scale? We are building systems that power decisions across a global catalogue of games, including base pricing across lifecycle stages of a game, while balancing revenue growth, player experience, and cannibalisation across titles. We are looking for an experienced Machine Learning Engineering Manager to lead a hybrid team of Machine Learning engineers and Operations Research experts. You will work on high-impact, executive-visible initiatives, partnering closely with Product, Business, and Engineering teams to translate complex, ambiguous problems into scalable, production-ready systems. What You’ll Do Lead and grow a team of machine learning engineers and optimisation specialists, fostering collaboration across disciplines and raising the bar for technical excellence. Build a high-performing, inclusive team by: - Coaching and developing engineers across ML and OR disciplines - Providing clear feedback, career growth, and performance management - Hiring and retaining top talent Improve large-scale optimisation systems that: - Incorporate predictive signals from machine learning models (e.g., demand forecasting, item elasticity). - Leverage optimisation frameworks using Gurobi to make decision recommendations under known business constraints. Partner closely with Product, Business, and regional stakeholders to: - Translate business goals and constraints into optimisation frameworks. - Align on tradeoffs between short-term performance and long-term strategy. - Resolve conflicting priorities through data-driven decision-making. Ensure systems are explainable, trustworthy, and actionable by: - Providing clear reasoning behind model-recommended decisions. - Enabling debugging and traceability across ML and optimisation components. - Driving adoption with business and product stakeholders. You Bring: - Deep understanding of the relevant ML and OR domains and infrastructure with a track record of delivering complex ML and OR systems into production. - Proven strong experience leading and developing high-performing ML and OR teams, including: Growing engineers across different skill sets (Machine Learning, ML Infra, Operational Research); Driving career growth and performance evaluation; Hiring and retaining high-performing teams. - Demonstrated ability to create a strong team culture with high accountability, creativity and continuous improvement. - Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality, high-velocity execution. - Demonstrated success driving cross-functional initiatives that require influencing without direct authority, in fast-moving environments - Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. - MS, or PhD in Computer Science, Machine Learning, Operational Research Preferred Qualifications: - Hands-on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark. - Experience in pricing, promotions or marketplace optimisation. - Experience in modelling demand elasticity and forecasting. - Experience in the gaming or digital content industry. - Experience working with globally distributed functions and 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.

S

Senior Machine Learning Engineer - Applied ML & Re...

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. As a Senior Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact - Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components) - Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring - Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability - Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders - Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices We're looking for someone with: - Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus) - 4+ years of industry experience building and deploying ML systems - Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies - Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices - Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

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Staff ML Engineer, ML Platform - Game Tech Group

Negotiable

Riot Engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As a Staff Software Engineer, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. In this role, you will be enabling productionized machine learning across all of Riot, at a global scale. You’ll be applying modern MLOps practices: streamlining deployment, simplifying operations, and creating reliable infrastructure that empowers data scientists, ML engineers, and product teams to deliver value quickly and confidently. As a Staff Machine Learning Engineer , you’ll design and implement methods for model deployment, monitoring, and lifecycle management. You’ll work on enabling all kinds of AI/ML by creating critical infrastructure; think model orchestration, feature stores, vector DBs, and everything in between. Your contributions will make ML & AI easier to adopt and operate across Riot, helping game and platform teams deliver high-impact machine learning solutions more efficiently. You will report to the Engineering Manager with Riot's Game Technology Group. Responsibilities: - Implement and support ML inference infrastructure for real-time and batch serving, including deployment pipelines and CPU/GPU-aware orchestration - Contribute to CI/CD workflows for ML artifacts, helping enable rapid iteration and safe promotion from development to production - Implement platform observability features such as monitoring, drift detection, resource utilization, and latency tracking - Support ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and safe rollback strategies - Be thoughtful on developer UX and incorporate an iterative approach to improving - Help lead long-term platform architecture, providing input into design decisions and contributing to team discussions - Contribute upstream to shared infra initiatives and build feedback loops and collaboration models with other Riot platform teams - Collaborate with researchers and game teams to understand product needs and build generalizable, reusable solutions Required Qualifications: - 6+ years of experience in software engineering, with time spent on ML/AI, platform or infrastructure teams - Experience maintaining cloud-agnostic inference platforms (e.g. KServe) or running open source frameworks (Feast, Milvus, etc.) in a production environment - Experience with one or more inference serving frameworks (e.g., NVIDIA Triton, TorchServe, BentoML, Seldon Core etc) - Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling - Exposure to CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management - Maintained or led development of services within a service-oriented architecture Desired Qualifications: - Proficiency in Python and experience with package management tools (e.g., Conda, Poetry) - Exposure to AB testing and experimentation frameworks, especially in online model evaluation - Familiarity with machine learning workflows (e.g., training, validation, deployment, monitoring) and experience working with data scientists - Passion for player experience, game systems, or creative technology development 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.

E

Machine Learning Engineer, Pricing Optimisation

Negotiable

About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. About the team Our Data team sits at the core of that growth. We build the ML systems, data pipelines, and platform capabilities that drive intelligent decisions across the business — from fraud and risk to personalisation and LTV. If you want your models to matter, this is the place. The Problem You'll Own Pricing is one of the most direct levers on revenue in a marketplace. At Eneba, we've built internal pricing algorithms that power our Featured Offers — and we want someone to take full ownership of that system and push it further. You'll own the algorithm end-to-end: understanding how users respond to price, modelling willingness to pay at the individual level, running experiments, and shipping improvements that show up directly in revenue. You'll work at the intersection of ML, economics, and product — and the impact of your work will be measurable from day one. Responsibilities Requirements Nice to have What it’s like to work at Eneba *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

T

Game ML Researcher Intern

Negotiable

About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails We are hiring internships for the data & AI group. Join our team to build AI bots in games using reinforcement learning and latest genAI technologies. Support the production of scalable and optimised AIService for AI bots. Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process. There is also opportunities of research new approaches to improve the performance. Who We Look For - Currently enrolled in a Master's or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, etc. - Expertise in one or more of the following areas with practical experience: deep learning, reinforcement learning, LLM. - Experience in video game, reinforcement learning, and development with GenAI is preferred; - Proficient in Python or other related programming languages. - Proficient in C++ is preferred. - Have a good team spirit and strong communication skills. 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.

R

Senior Software Engineer, ML Infra

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 Safety? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically and proactively work to detect, remove, and prevent problematic content and behavior. We seek to influence and shape the product roadmap and prioritization, build safety products, and measure our impact on the community of users and developers. In doing so, we help keep Roblox safe, civil, and inclusive, fostering positive relationships between people around the world. Why Text Safety? As a Senior Engineer you will play a key role in advancing large-scale AI systems that strengthen text safety and integrity. You’ll leverage cutting-edge ML models to build intelligent tools to curate high-quality training and evaluation data to train machine learning models. These systems will continuously refine and enhance model performance, enabling proactive detection and mitigation of safety risks across the platform in real time. In this role, you’ll work closely with cross-functional teams of engineers, product managers, policy experts, and safety specialists to turn complex safety challenges into scalable, impactful solutions. You’ll establish best practices and technical standards that define the next generation of safety AI, ensuring the platform remains secure, inclusive, and resilient. Your contributions will directly empower robust, AI-driven moderation and detection systems that foster a safe and positive experience for all users. You Will: - Design, build, and own critical components of the AI based text safety components, with a focus on usability, reliability, scalability, and performance. - Implement robust AI service to ensure text quality on all Roblox properties (Avatar, Game Description etc.). - Advance our AI systems infrastructure by developing strong frameworks and APIs to support the text filtering needs for hundreds of clients in Roblox. - Partner with cross-functional teams of engineers, product managers, policy experts, and safety specialists to to deliver scalable data and AI solutions to power next-generation safety systems. - Develop text safety quality metrics and eval tooling to support the continued quality iteration over time. - Stay current with emerging technologies and push forward innovation in AI space to enhance user and platform safety. You Have: - 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments. - A graduate degree or equivalent experience in Computer Science, Engineering, or a related technical field. - Strong communication skills and a collaborative, solution-oriented approach to problem solving. - Hands-on experience with fine-tuning VLMs, LLMs, or large multimodal models to improve model quality, safety, and performance is a plus. You Are: - Data & System Oriented: You understand that robust data and systems are the foundation of any production applications, and you design infrastructure for scale, correctness, and reliability. - Collaborative : You thrive in cross-functional teams, partnering effectively with Product and Engineering to solve complex challenges. - Curious & Creative: You enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows. - Impact Driven: You focus on outcomes - prioritizing product impact, reliability, and measurable success over code volume or complexity. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

R

Technical Producer II - VALORANT, AI

Negotiable

As Technical Producers at Riot, we lead passionate technical teams to create products and experiences that want to achieve maximum 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 II on the VALORANT AI team, you will drive the delivery of the systems, tools, and workflows that power the machine learning workflows. You will partner closely with engineers and cross-disciplinary collaborators to ensure the team delivers high-quality AI systems that meet the needs of players and developers. You will help the team operate effectively and sustainably, facilitating planning, prioritization, and execution across a wide range of AI initiatives, from bot behavior development to emerging ML-based features. You have a strong understanding of technical development workflows and a proactive mindset for identifying opportunities to improve team efficiency, clarity, and delivery. You will support the ongoing needs of a globally distributed development organization, helping ensure our AI systems are reliable, scalable, and aligned with VALORANT’s gameplay goals. You will report to the Senior Manager, Technical Production for the Cross VALORANT Experience Area. Responsibilities: - Run day to day team production operations and development processes - Partner and collaborate with stakeholders across VALORANT to align on project goals and technical plans for your team to execute against and share completed work with stakeholders - Partner with Product and Engineering Leadership to manage the team’s backlog, roadmap, and development processes, ensuring the scope of work is aligned with VALORANT Leadership’s goals - Align commitments and deliveries across organizations to ensure that features are delivered on time and with appropriate levels of quality. - Collaborate across VALORANT and Riot stakeholders to ensure we’re delivering AI in the best way possible Required Qualifications: - Bachelor's degree in Computer Science or a related field, or equivalent experience with strong technical knowledge and problem-solving skills - 4+ years of experience as a Producer, Product Manager, or Development Manager on medium to large teams - 4+ years of experience managing complicated project deliveries across multiple business unites - Experience managing and operating games in a live service environment, spanning multiple platforms, and publishing partners - Experience working in technical environments delivering features through ambiguous and iterative development - Hands-on experience applying Agile and Lean development processes such as Scrum, Kanban, or similar - Excellent team leadership skills and experience working with engineering leadership to institute best practices and principles that continue to mature a high functioning team - Experience driving stakeholder management, gathering and aligning on requirements across service development teams, and funneling work back to the team - Experience juggling multiple projects in-flight, understanding high level scope while navigating around constraints and appropriately prioritizing team’s efforts - Understand operational and development challenges and conflict resolution techniques - Experience in working in an AI or other machine learning environment 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.

Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch ™ system and the Nintendo 3DS ™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System ™ , Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy ™ , Game Boy Advance, Nintendo DS ™ family of systems, Super NES ™ , Nintendo 64 ™ , Nintendo GameCube ™ , Wii ™ and Wii U ™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other. DESCRIPTION OF DUTIES - Develop and prototype new algorithms and workflows to improve developer experience. - Research complex subjects and provide expert guidance. - May take lead role of software components from prototype to production - Review code of others work in C#, C++, or Python. - Document work according to defined processes. SUMMARY OF REQUIREMENTS - BS in Computer Science, Mathematics, Statistics, or related field; MS preferred. - 5 or more years of software development in C/C++ programming. - Significant experience with modern machine learning, frameworks, and Python. - Practical experience building end-to-end applications. - Strong data structures and algorithms knowledge. - Strong analytical and problem-solving skills. This position is onsite in Redmond, WA, and not open to remote status at this time. This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off. Pay Range: $145,150 - $261,200 USD

H

AI Art Specialist - Gaming

Negotiable

AI Art Specialist - Gaming Homa · Paris, France · Full-time · Posted 2026-04-07 Workplace: onsite Department: Art Description Description Homa is a global mobile game developer and publisher creating games people love. We partner with studios and internally develop games, having launched over 80 titles, reached over 2 billion downloads, and seen our game All in Hole break into the global top-50 grossing charts. These are milestones, not the finish line. With deep expertise in product and technology, we built Homa Lab, our proprietary platform that gives developers the market intelligence, data tools, and game tech, with AI built-in, to find product–market fit fast and scale mass-market games into lasting experiences players enjoy for years. This is our flywheel: Homa Lab helps studios spot the right ideas early, turn them into games quickly, and reach millions of players. Every launch brings back data and insights that fuel the next hit, making each turn of the loop faster, smarter, and more likely to win. AI supercharges this process, running through everything we do, from everyday tasks to our guiding principles. What powers the loop is talent density. 220+ people from 30+ nationalities, bringing expertise from the world’s best studios and companies. We uphold ambition, curiosity, humility, and focus, and deliver with speed, excellence, and candor. Since the start, we’ve raised $165M from Headline, Northzone, Eurazeo, Bpifrance, and the founders of King, Sorare, and Spotify, people who’ve built and backed the games and platforms we admire, now supporting our drive to create the next ones. At Homa, we are building the next billion-player experiences from the ground up and shaping the future of entertainment. Team You'll be joining our Gaming Art team, working closely with Homa’s AI experts, a highly experimental group building the workflows, tools, and visual outputs that help teams move faster and create better content across the company. This team sits at the intersection of art, operations, technology, and production, supporting game teams, creative teams, and internal stakeholders with high-quality AI-generated resources, visuals, and scalable workflows. We’re organized around close collaboration between: - Art & AI: creating high-quality illustrations, assets, and production workflows - Game teams: supporting flagship products with faster, better visual production - Creative / UA teams: helping produce visuals and content for marketing and user acquisition needs Mission As an AI Art Specialist, you’ll play a key role in scaling how AI is leveraged at Homa, with a strong focus on the art teams. You will be part of a lean, high-impact AI team working at the intersection of technology, creativity, and product, building workflows, exploring new tools, creating visuals, and turning emerging AI capabilities into concrete, high-value use cases. Your main responsibilities will include: - Design and build scalable AI workflows (e.g. image generation pipelines, tooling, automation) - Produce high-quality visuals (illustrations, assets, creatives), with attention to composition, iteration, and feedback - Continuously explore and experiment with new AI tools, identifying opportunities to improve quality and speed - Solve ambiguous, cross-functional problems, translating team needs into practical AI-driven solutions - Collaborate closely with multiple teams (art, product, UA, creative, etc.) and adapt to a wide variety of use cases - Contribute to scaling AI adoption internally by making workflows, tools, and outputs more accessible and reusable 👉 This is a highly hands-on and evolving role, offering a unique opportunity to rapidly develop deep expertise in applied AI. You’ll experiment, build, and scale real use cases, gaining in months what typically takes years. Requirements We are looking for someone with a strong interest in AI, problem-solving, and building practical solutions, and the curiosity and ambition to constantly push things forward. You’re a great fit if you have: - A strong interest/experience in AI and experimentation, with hands-on experience using tools (image generation, automation, no-code/low-code, scripting, etc.) - Experience with AI creative tools (e.g. ComfyUI, Midjourney, Stable Diffusion, etc.) - A background in art, design, or visual production, with the ability to produce and refine visuals - Proficiency with Photoshop (or similar visual editing tools) to edit, refine, and polish outputs - A structured and logical approach to problem-solving, with the ability to break down ambiguous problems and find practical solutions - A builder mindset, you don’t just think or strategize, you execute, test, iterate, and improve - High adaptability and learning agility, comfortable working with constantly evolving tools and contexts - An eye for visual output and quality, with a good sense for what looks right (composition, clarity, polish), - Strong ownership and speed, able to balance quality with fast delivery Bonus: - Experience in consulting, product, startups, or roles involving problem-solving in ambiguous environments - Experience working closely with art or creative teams in production environments Even if you don’t check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we’re more interested in your potential and passion than a perfect match to our checklist. Our Culture At Homa, we prioritize talent, energy, and determination over traditional credentials. We’re building a global community of brilliant, driven people who think boldly, act with pragmatism, move fast, and push boundaries. We believe true innovation comes from diverse perspectives, deep collaboration, and curiosity without limits. Our culture is grounded in four core values: - Humility: We recognise that we are always learning, we can always improve and grow - we stay grounded in a clear view of ourselves. - Curiosity: We continuously seek the “why” behind the “what” - we explore with purpose and practicality. - Focus: Our curiosity takes us deeper, not wider - we obsess over the details and let pragmatism guide our attention. - Ambition: We strive for the best - we don’t settle for “good enough,” - we use common sense to reach higher. Benefits Building great games starts with building a great place to work. Here’s what you can expect: - 🏥 Comprehensive Benefits: Depending on your location, you’ll enjoy a range of perks such as insurance, meal vouchers, public transport, gym memberships, and more. - 🏢 Paris HQ Access: Enjoy a desk at our private office in a well-located WeWork building that will give you access to WeWork perks like rooftop view and designed coworking spaces. - 🌍 Coworking Access: You will have access to WeWork spaces throughout Europe, along with all their perks and professional office environments. - 🌐 Global Team: Collaborate in English with top-tier talent from 35+ countries, spanning Europe, the UK, the US, and more. Diversity fuels our creativity and innovation. - ✈️ Team Gatherings: We value time together beyond the screen. Join us for occasional team gatherings, off-site retreats (Workations as we name them) to connect, recharge, and celebrate. - 📈 Performance Reviews: We’re committed to your growth. Every six months, we reflect on your progress, recognize your achievements, and align on clear development goals. - 💻 Equipment Support: From day one, we’ll provide everything you need to do your best work, including a home office setup allowance if you're working remotely. Where We Hire Our HQ in Paris is a vibrant hub of creativity, collaboration, and connection. From rooftop lunches and coffee chats to after-work apéros and community events, we’ve designed a space people genuinely enjoy - all within a cozy WeWork filled with good energy (and snacks). If you're based there - or planning to be - we’d love to hear from you! Apply Apply at Homa --- Powered by Workable

Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch ™ system and the Nintendo 3DS ™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System ™ , Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy ™ , Game Boy Advance, Nintendo DS ™ family of systems, Super NES ™ , Nintendo 64 ™ , Nintendo GameCube ™ , Wii ™ and Wii U ™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other. DESCRIPTION OF DUTIES - Train, evaluate, and optimize neural networks - Write scripts to facilitate neural network model development and use - Procure and clean data necessary for training and evaluating models - Effectively communicate with other teams, especially as it relates to domain-specific knowledge, model quality, and model performance - Document work according to defined processes SUMMARY OF REQUIREMENTS: - 3+ years of professional experience as a data scientist - 3+ years of professional experience working with deep learning libraries (PyTorch and/or TensorFlow) - Proficient in Python - Possess strong debugging and troubleshooting skills - Familiar with Git workflow - Experience with C, C++, or C# is a plus - BS in CS/Applied Mathematics/Statistics/DS/ML or related field This position is onsite in Redmond, WA, and not open to remote status at this time. This contract position includes the base pay range listed below and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner. Pay range: $56.44 - $101.59 USD

R

Principal Technical Product Manager - VALORANT, AI...

Negotiable

Riot leverages Technical Product Managers (TPMs) in situations where deep technical expertise will meaningfully improve product outcomes. As a Principal TPM focused on Artificial Intelligence and Machine Learning applications, you will not be bound to a single feature team. Instead, you will act as a strategic force multiplier, assessing Valorant’s entire product landscape to identify where Machine Learning and Generative AI can fundamentally transform how we make games and how players experience them. As a Principal Technical Product Manager on Valorant Studio Data, you will serve as a key lieutenant to leadership across the game, identifying product opportunities that will empower fellow Ritoters or surprise and delight players. You will move fluidly between high-level strategy and deep tactical execution, ensuring that when we commit to an initiative, we deliver tangible value to our players and Rioters. Responsibilities: - Assess Valorant’s product landscape to identify high-impact opportunities where AI can enhance development or player experience - Develop and align generative strategy for critical product areas, prioritizing outcomes that create measurable value - Bring strategic structure and clarity to our core AI Initiatives to ensure they are set up for long-term success - Partner with engineering and research teams to ensure AI solutions are robust, scalable, and seamlessly integrated into workflows - Lead cross-functional teams through influence, bridging the gap between abstract AI concepts and concrete product requirements - Serve as a strategic proxy for leadership, stepping in to manage high-stakes opportunities with autonomy - Translate empathy for internal developers and players into AI product experiences that solve genuine pain points Required Qualifications: - 8+ years of relevant experience in Technical Product Management or a related engineering/research field - Demonstrated experience managing products powered by Machine Learning, Large Language Models (LLMs), or Generative AI - Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority - Strong technical background (CS degree or equivalent experience) allowing for credible debate on tradeoffs with Engineering Leads - Experience translating open-ended research or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics Desired Qualifications: - Familiarity with the game development lifecycle, including art toolchains, game engines, and live ops workflows - Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs and metrics - Passion for games and a deep understanding of the player experience 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.

Got a passion for data science and mathematical modeling? Blessed with an excellent eye for details and for opportunities hiding in data? Want to add your talents for ideation and implementation to an already stellar team? Then you might be just the exceptional data scientist we’re searching for! In this role you will - Create mathematical models for better understanding the value of Outfit7’s users and of the profitability of Outfit7’s marketing campaigns. - Optimize data processing workflows to improve efficiency and performance. - Drive operational improvements within analytical processes and methodology, as well as campaign improvements. - Help set priorities within the team based on business impact. - Work efficiently as part of the team. What we’re looking for - Talent for data science methodology and practice, as well as storytelling capability. - Proficiency in reporting and explaining complex results to people from different professional backgrounds. - Excellent attention to detail and ability to find opportunities for improvements in dashboards and to follow through on changes. - Positive, make-it-happen, lead-by-example attitude. - Good communication and presentation skills, with fluency in the English language (both written and spoken). Your experience - 3+ years of experience working in data science using statistical methods. - Experience with ML for modeling more complex concepts. - Experience in data instrumentation and data collection, as well as in the use of tools for analyzing data (e.g. R, Python). - Experience in marketing data science (or similar role) would be a plus. What we offer - Employment relationship with Ekipa2 d.o.o. for an indefinite period of time, with a six-month probationary period. - Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment. - Participation in attractive projects. - Development opportunities through training, seminars, and conferences. - Choice of sport, fitness, educational, and entertainment activities outside of work. - Healthy meals in the office. - Flexible working hours. - 24 days of paid vacation. - Participation in a discretionary bonus plan. - Christmas bonus (subject to internal company policies). Note: With application to selected job position I hereby confirm that I have read and understood Outfit7's Candidate Privacy Policy .

M

ML - Principal Software Engineer

Negotiable

Partners with appropriate stakeholders to determine user requirements for one or more complex scenarios. Provides technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform. Leads by example and mentors' others to produce extensible and maintainable code used across the company. Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product's project plans, release plans, and work items. Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on call to monitor system/product/service for degradation, downtime, or interruptions. Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers. 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++, C#, Java, JavaScript, or Python. Proven ability to define long-term ML infrastructure strategy and drive cross-org alignment across engineering, product, and research. Hands-on experience working or building robust, ML systems with high reliability, low latency, and seamless platform integration. 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 Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Experience architecting ML inference pipelines for LLMs. Experience building local model integrations in system or app level components. Demonstrated mastery in ML compiler design, hardware-aware optimizations, and scalable infrastructure across heterogeneous platforms.