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Senior Machine Learning Engineer
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture. HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring! Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) — ML Engineering What We Do Warner Bros. Discovery (WBD) is home to the world’s most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. At WBD, Machine Learning Engineering does rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks, with strong working knowledge of Snowflake and AWS, and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role: This is a senior, high-ownership US-based role that sits between our Senior MLE and Staff MLE levels. You will own the design and delivery of production ML systems end to end and take on cross-cutting technical leadership: setting patterns, driving key architectural decisions on flagship workstreams, and raising the bar for the broader ML organization — including close partnership with our Hyderabad ML team. As a US-based senior engineer, you will also serve as a technical anchor and time-zone bridge across the global team: framing ambiguous problems, unblocking others, and translating business priorities from US-based Product, Marketing, and Ad Sales stakeholders into an executable ML roadmap. This role is ideal for engineers with roughly 5–8 years of experience (3+ with a PhD) who operate with strong autonomy, lead by influence, and can move fluidly from hands-on modeling and pipeline engineering to architecture and mentorship. You will do meaningful individual technical work while beginning to exercise Staff-level scope across initiatives. What You’ll Do: ML System Design & Technical Leadership Lead end-to-end development of production ML systems: data sourcing, feature engineering, model training, evaluation, deployment, and monitoring. Own one or more flagship ML products — e.g., probabilistic identity resolution (matching unauthenticated device IDs and 1P cookies to households/persons with calibrated confidence), single-title affinity (two- tower retrieval), lookalike modeling, or forecasting — and drive their technical direction. Make and document key architectural decisions across a workstream (feature-store design, training/serving patterns, evaluation frameworks); provide deep trade-off analysis on scalability, latency, reliability, and cost. Design scalable feature and inference pipelines on Databricks (PySpark, Delta, Workflows/DLT, Unity Catalog) integrated with Snowflake and activation systems (Mosaic, FreeWheel, GAM), with documented feature contracts, backfill paths, and freshness SLAs. Establish and evangelize patterns that other engineers adopt; anticipate risks and failure modes before they surface. Modeling & Experimentation Develop and optimize models across the ML spectrum: gradient boosting (XGBoost/LightGBM), embedding/two-tower retrieval, neural ranking, probability calibration (e.g., isotonic regression), and probabilistic/graph- based matching. Design rigorous offline and online experiments; define evaluation frameworks (precision/recall, AUC-ROC, NDCG, decile lift, calibration curves) appropriate to each use case. Apply causal-inference techniques (propensity scoring, uplift/incrementality modeling) to measure true lift of audience targeting on engagement and retention KPIs. Contribute to lookalike modeling (LAL 2.0+) using 1,000+ first- and third- party features, including privacy-safe builds inside Data Clean Rooms (Snowflake DCR). MLOps & Infrastructure Champion MLOps best practices: model versioning, champion/challenger promotion, automated retraining triggers, drift detection, and production monitoring with MLflow on Databricks. Build and maintain robust, reproducible, auditable ML pipelines on Databricks (and AWS SageMaker where appropriate, e.g., the identity- resolution track); enforce leakage prevention and training/serving consistency. Shape the team’s feature-store strategy — feature contracts, backfills, and freshness SLAs — and implement data-quality checks, model-health dashboards, and alerting thresholds. Embed FinOps cost discipline (compute caps, auto-termination, job tagging) into pipeline design. Agentic AI & Modern Development Actively use and advocate for AI-assisted development: Cursor, GitHub Copilot, and Amazon Q for code generation, review, and documentation. Leverage Databricks Genie as a governed natural-language analytics layer — configuring Genie Spaces over ML feature tables and audience datasets to enable self-service exploration for cross-functional stakeholders. Use Snowflake Cortex (Copilot, Cortex Analyst, Cortex Search) to accelerate SQL authoring, data discovery, and RAG-based internal tooling over Snowflake-resident identity and audience data. Design and prototype agentic ML workflows (MCP-compatible tooling, LangChain/LangGraph) to automate repetitive tasks such as data validation, feature selection, and hyperparameter search; evaluate LLM- based approaches for metadata enrichment and content understanding. Mentorship & Cross-functional Collaboration Mentor Senior and MLE 2 engineers — including members of the Hyderabad team — through code reviews, design discussions, and pairing; contribute to and help set team technical standards. Serve as a US-based point of contact and time-zone bridge for the global ML team; help align priorities and unblock the India team across time zones. Partner with US-based Product, Marketing, and Ad Sales stakeholders to translate business requirements into ML problem formulations, and with Data Engineering on data contracts and pipeline SLAs. Communicate model performance, trade-offs, and business impact clearly to technical and non-technical stakeholders. Flagship Projects You’ll Work On Identity Intelligence — foundational, privacy-safe identity across all WBD brands: probabilistic ID resolution that resolves unauthenticated signals to households/persons with calibrated confidence (entity resolution with gradient boosting and embeddings, representation learning, isotonic calibration, candidate blocking, champion/challenger pipelines), expanding addressable audiences beyond deterministic matching. Audience Intelligence — advertising and marketing use cases: lookalike and predictive audiences (LAL across 1,000+ features), ML-driven smart audiences, layered retrieval + propensity, and incrementality/closed-loop optimization, with privacy-safe activation including data clean rooms. ML-based Forecasting — audience growth, demand, and advertising yield/pricing forecasting that powers ad sales and marketing decisions. Content Preferences & Affinity — genre-preference, content-preference, and single-title affinity modeling (two-tower retrieval with semantic content embeddings) that ranks audiences for upcoming titles and powers cross-channel promotion. What You’ll Bring: Required 5–8 years of industry experience in ML engineering or applied data science (3+ years with a Ph.D.), including a track record of leading projects to production. Deep Python expertise and strong software engineering practices; production experience building and deploying ML at scale (millions+ of users/records). Strong proficiency in Databricks (PySpark, Delta Lake, Workflows/DLT, MLflow, Unity Catalog) and solid SQL/Snowflake experience for feature sourcing and model-output delivery. Experience with AWS ML services (SageMaker, S3, Lambda). Strong understanding of ML model evaluation, A/B testing, and statistical/causal inference; depth in one or more of recommendations & ranking, identity resolution, embeddings/retrieval, forecasting, or optimization. Demonstrated technical leadership: driving architectural decisions, setting patterns/standards, and mentoring other engineers — including leading by influence across teams and time zones. Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience). Excellent written and verbal communication, with the ability to advocate technical solutions to engineers, scientists, and product stakeholders. Preferred: Recommendation systems, personalization, identity resolution, or audience modeling in a media / streaming / ad-tech context. Experience with two-tower / retrieval architectures, probabilistic identity resolution (graph-based matching, entity resolution, confidence calibration), and Data Clean Room ML (Snowflake DCR, AWS Clean Rooms). Experience architecting or standardizing components of an ML platform used by multiple engineers or teams. Hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, MCP), Databricks Genie Space configuration, and Snowflake Cortex. Experience with feature stores (Databricks Feature Store, Tecton, Feast) and contributions to open source or ML publications. Experience partnering with or mentoring globally distributed teams. Our Technology Stack Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow, Feature Store, Unity Catalog, Asset Bundles, Genie). Cloud: AWS (SageMaker, S3, Lambda). Warehouse: Snowflake (incl. DCR, Snowpark, Cortex). Activation: Mosaic, FreeWheel, Google Ad Manager. Agentic AI: Cursor, GitHub Copilot, Amazon Q, Databricks Genie, Snowflake Cortex, MCP. Languages: Python (primary), SQL, Scala (as needed). Warner Bros. Discovery is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $159,180.00 - $295,620.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Senior Data Scientist - Data Platform Team, Hydera...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Data Scientist (Data Platform Team), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery is a premier global media and entertainment company, offering audiences the world's most differentiated and complete portfolio of content, brands, and franchises across television, film, streaming, and gaming. The new company combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Meet our Team The Data Platform team at Warner Bros. Discovery powers data-driven experiences across global products like Max, Discovery+, Sports, Studios, and News. The team builds and operates a scalable, multi-tenant data ecosystem that enables analytics, real-time insights, and machine learning use cases across the organization. Positioned at the core of the data journey, the team is responsible for ingesting, processing, and transforming large volumes of client and server-side data into reliable and high-quality datasets. Operating at the intersection of data and platform engineering, the team focuses on building robust pipelines, ensuring data quality and governance, and driving innovation in real-time processing, observability, and modern data infrastructure. The team collaborates closely with product, analytics, and engineering stakeholders to enable data-driven decision-making at scale. Roles & Responsibilities: - Design, develop, and deploy machine learning models and data science solutions at scale. - Build ML capabilities using recommendation systems, personalization, predictive modeling, NLP, Generative AI, and Large Language Models (LLMs). - Develop end-to-end ML workflows including data preparation, feature engineering, model training, validation, deployment, monitoring, and optimization. - Apply advanced data science techniques including regression, classification, time series forecasting, causal inference, optimization techniques, and deep learning approaches. - Build and improve scalable ML training and inference pipelines. - Work closely with Data Engineers, ML Engineers, Product Managers, and business teams to deliver data-driven solutions. - Perform experimentation, A/B testing, statistical analysis, and model evaluation to measure model effectiveness. - Research and apply modern ML techniques including Transformers, Deep Learning models, NLP techniques, and AI-based solutions. - Follow and promote data science best practices for model development, evaluation, and deployment. - Mentor junior team members and provide technical guidance when required. - Leverage AI-assisted tools to improve productivity and quality. What to Bring: - Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. - 5+ years of experience in building data science models and machine learning solutions. - Strong understanding of statistics, machine learning algorithms, probability, and data science fundamentals. - Hands-on experience in developing, deploying, and optimizing ML models in production environments. - Strong programming experience with Python, R, Scala, or similar programming languages. - Experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, and Spark ML. - Strong knowledge of machine learning techniques, including Regression & Classification Models, Time Series Forecasting, Recommendation Systems, Personalization, Search & Ranking Models, Deep Learning, NLP, LLMs, Causal Inference, Reinforcement Learning, Multi-Armed Bandits, and Model Optimization. - Experience across the complete ML lifecycle, including feature engineering, training pipelines, model validation, deployment, monitoring, and continuous improvement. - Experience working with large-scale datasets and distributed computing frameworks. - Good understanding of MLOps concepts, scalable ML architectures, and production ML systems. - Strong analytical thinking, problem-solving abilities, communication skills, and cross-functional stakeholder collaboration experience. Preferred Qualifications - Experience working on personalization, customer growth, advertising, content recommendation, or large-scale consumer platforms. - Exposure to cloud-based ML platforms and production ML infrastructure. - Knowledge of modern AI/GenAI tools and frameworks. - Ability to translate research concepts into practical business solutions. What We Offer: - A Great Place to work - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Machine Learning Engineer I
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on Instagram and X ! We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS. We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place. About CNN Digital CNN Digital is a global leader in news and information, reaching millions of users daily across web, mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them. Your New Role… CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital platforms. You will work on production ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff. Your Role Accountabilities… - Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding - Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure - Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact - Optimize ML systems for real-time, web-scale performance serving millions of users - Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards - Contribute to code reviews, documentation, and team knowledge sharing Qualifications & Experience… Required Qualifications: - Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field - 1+ years of professional experience building and deploying machine learning systems in production environments - Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar) - Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment - Solid understanding of software engineering best practices, including version control, testing, and CI/CD - Ability to collaborate effectively with cross-functional partners - Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders Preferred Experience: - Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media) - Hands-on experience with recommendation systems, search, NLP, or information retrieval - Familiarity with data pipelines, feature stores, or embedding infrastructure - Experience with experimentation platforms, A/B testing, and experimentation analysis - Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) - Interest in generative AI applications and/or the media and news industry Technical Skills: - Languages: Python (required), SQL - ML Frameworks: scikit-learn or similar - Tools: Git, MLflow or similar MLOps tools - Data: Experience working with large datasets, distributed processing, and feature engineering - Deployment: REST APIs, model serving, monitoring, and observability How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
Senior Machine Learning Engineer
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture. HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring! About the Role We're seeking a Senior Machine Learning Engineer to develop and deploy machine learning solutions for consumer growth, including fraud detection, pricing optimization, and user behavior modeling. You'll combine strong technical skills with a passion for learning to build scalable ML systems that drive business impact. This role requires a blend of strong research skills, mathematical rigor, and production-grade engineering practices . You will also act as a mentor to junior scientists, collaborate cross-functionally with product, engineering, and business stakeholders, and advance the company’s research agenda through thought leadership and, when possible, publications in top-tier venues. Key Responsibilities - End-to-End Delivery : Build complete ML pipelines from data processing to model deployment and monitoring in production environments - ML Development : Design and implement machine learning models for growth applications, from classical algorithms to deep learning approaches - Cross-Functional Collaboration : Work closely with product, engineering, and senior researchers to translate requirements into effective ML solutions - Mentorship : Guide junior data scientists and contribute to team knowledge sharing - Research & Innovation : Stay current with ML research and explore new methodologies relevant to consumer growth challenges Required Qualifications - Education : PhD/MS in Machine Learning, Data Science, or closely related field - Experience : 3+ years (PhD) or 5+ years (MS) of hands-on machine learning experience - Technical Skills : - Proficient in Python and ML frameworks ( PyTorch , TensorFlow, Scikit-learn, XGBoost ) - Experience with SQL and large-scale data processing - Proven track record deploying ML models to production - Mindset : Strong desire to learn new techniques and adapt to evolving business needs - Communication : Ability to clearly articulate ML concepts to diverse stakeholders Preferred Qualifications - Experience in consumer-facing applications (growth, fraud, personalization) - Familiarity with distributed computing systems (Spark, Ray) - Publications in ML conferences or contributions to open-source projects How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $159,180.00 - $295,620.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
Manager, Machine Learning Engineering & Data Scien...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Manager, Machine Learning Engineering & Data Science , Hyderabad About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons. and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles and Responsibilities: The Manager – Machine Learning Engineering & Data Science will lead a team of Machine Learning Engineers and Data Scientists responsible for building, deploying, and operating large ‑ scale ML systems that power critical business capabilities across consumer platforms. This role brings together Data Science, ML engineering, platform reliability, and people leadership, with the opportunity to shape production ML systems in areas such as user behavioral modeling, fraud and abuse detection, transaction intelligence, and lifecycle engagement. This role will also lead the development of ML platform capabilities across the full lifecycle, including pipeline orchestration, experimentation frameworks, model promotion, deployment, and observability, enabling scalable and reliable production ML systems. The role requires strong hands ‑ on technical depth, experience in designing data science experiments, architecting scalable ML solutions, and building production-grade systems, along with the ability to scale teams, processes, and platforms. Key Responsibilities - Own end-to-end delivery: Accountable for delivering ML/DS initiatives from problem definition through production, ensuring timelines, quality, and business impact are consistently met. - Own ML platform and lifecycle capabilities: Build and evolve core systems for ML pipelines, experimentation, model versioning/promotion, deployment, and observability, ensuring reproducibility, governance, and production reliability. - Be a hands-on technical leader: Stay close to the work—review designs, guide modeling approaches, participate in key technical decisions, and help unblock complex ML and data challenges. - Partner deeply with product and stakeholders: Work closely with Product, Engineering, and business teams to shape problem statements, prioritize work, and ensure ML solutions align to clear outcomes and KPIs. - Drive execution with operational excellence: Establish strong planning, tracking, and risk management practices; ensure ML systems are production-ready with robust pipelines, automated deployment workflows, and end-to-end monitoring/observability. - Set and enforce quality standards: Own the bar for model performance, data quality, experimentation rigor, and system reliability in production. - Lead and develop the team: Hire, mentor, and manage a team of MLEs and Data Scientists; provide clear goals, regular feedback, and career development to build a high-performing organization. - Foster collaboration and shared ownership: Create strong working relationships across teams, improve how ML integrates into broader systems, and drive alignment across cross-functional partners What to Bring: - 12–15 years of total experience with 3+ years of leading and managing ML, Data Science teams . - Proven experience designing and delivering machine learning-driven, large-scale distributed systems in production . - Experience building or operating end-to-end ML platforms, including pipeline orchestration, experimentation systems, model registry/promotion workflows, and production observability. - Experience translating business problems into scalable ML/AI solutions with measurable impact . - Hands-on experience with cloud platforms (AWS, GCP, or Azure) and modern ML/data ecosystems . - Strong understanding of ML platforms, data pipelines, distributed systems, and production architecture patterns . - Ability to collaborate effectively across Product, Engineering, Data, and Business teams . - Excellent written and verbal communication skills with ability to contribute to technical design discussions and documentation . Preferred: - Experience working with global, cross-functional teams. - Exposure to MLOps / LLMOps frameworks, including experiment tracking, model governance, promotion strategies, deployment pipelines, and observability tooling. - Familiarity with modern AI patterns (e.g., GenAI, LLM-based applications, RAG, or applied AI systems) . - Experience establishing reusable technical patterns, standards, and scalable frameworks across teams . What We Offer: - A Great place to work. - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Staff Solutions Architect - AI/ML
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Staff, Solutions Architect (AI/ML) , you will play a pivotal role in driving the adoption of AI and Machine Learning solutions within one of the world’s largest Media & Entertainment companies. Based in India, you will lead the design and implementation of innovative AI/ML architectures that transform how we create, distribute, and monetize content across global markets. Your expertise will help bridge the gap between complex business challenges and advanced technical solutions, ensuring AI initiatives deliver real business value. This is a unique opportunity to work at the intersection of creativity and technology, where you’ll lead the development of intelligent solutions for personalized viewer experiences, optimized content workflows, and data-driven decision-making. If you’re passionate about leveraging AI/ML to revolutionize the Media & Entertainment industry and thrive in a dynamic, collaborative environment, this role is for you. 1. AI/ML Solution Design and Development - Design and develop scalable AI/ML solutions tailored to address business challenges such as audience analytics, content personalization, and ad optimization. - Lead the end-to-end architecture of AI/ML platforms, ensuring seamless integration with existing systems and data pipelines. - Collaborate with data scientists, engineers, and business stakeholders to convert models into production-ready solutions. - Evaluate and select appropriate AI/ML frameworks, technologies, and tools to meet project requirements. - Ensure AI solutions are optimized for performance, scalability, and reliability across diverse use cases. 2. Technical Leadership and Innovation - Provide technical leadership for AI/ML projects, guiding teams through solution architecture, development, and deployment. - Stay abreast of emerging AI/ML trends and technologies to introduce innovative solutions and best practices. - Lead proof-of-concept (POC) initiatives to validate new AI capabilities and demonstrate their potential impact. - Promote a culture of innovation within the team, encouraging experimentation with cutting-edge AI/ML techniques. - Mentor junior architects and engineers to build a strong pipeline of AI/ML talent. 3. Collaboration and Stakeholder Engagement - Act as a key interface between business units, technical teams, and senior leadership to align AI/ML solutions with organizational goals. - Translate business requirements into technical specifications, ensuring clarity and feasibility. - Collaborate with cross-functional teams to prioritize and execute AI/ML projects that deliver the highest business impact. - Communicate the value and progress of AI/ML initiatives to non-technical stakeholders through clear, compelling narratives. - Foster strong relationships with external partners, including technology vendors and academic institutions, to drive innovation. 4. AI Governance and Risk Management - Implement best practices for AI/ML governance, including model explainability, accountability, and ethical use. - Ensure AI solutions comply with data privacy regulations and internal security protocols. - Proactively identify and mitigate risks associated with AI/ML implementations, such as bias, overfitting, or data quality issues. - Develop monitoring frameworks to track model performance and retrain models as necessary to maintain effectiveness. - Establish guidelines and documentation for AI/ML processes, ensuring consistency and transparency. 5. Scalability and Continuous Improvement - Architect solutions that are modular and scalable, capable of supporting future business growth and technological evolution. - Regularly review and optimize existing AI/ML systems for improved performance and cost-efficiency. - Establish feedback loops to capture learnings from deployed solutions and inform future enhancements. - Identify opportunities for automation and operational efficiency using AI/ML. - Lead initiatives to streamline workflows and reduce time-to-market for AI/ML projects. Qualifications & Experiences: Academic Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline. - Specialized certifications in AI/ML (e.g., Google Cloud AI Engineer, AWS Machine Learning Specialty) are a plus. Professional Experience: - 8+ years of experience in AI/ML solution architecture, with at least 3+ years in a leadership role. - Proven track record of designing and deploying AI/ML solutions in enterprise-scale environments, preferably within Media & Entertainment or a similar industry. - Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP). - Strong expertise in building and optimizing data pipelines, model deployment workflows, and MLOps practices. - Experience in implementing AI use cases like recommendation systems, natural language processing (NLP), and computer vision. Technical Skills: - Proficiency in programming languages like Python, Java, or R. - Expertise in big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL). - Solid understanding of microservices architecture and APIs for AI model integration. - Advanced knowledge of AI model lifecycle management, from training to deployment and monitoring. - Familiarity with visualization tools (e.g., Tableau, Power BI) to present AI-driven insights. Soft Skills: - Exceptional problem-solving and critical-thinking abilities. - Strong communication skills with the ability to articulate technical concepts to non-technical audiences. - Collaborative mindset with the ability to work effectively in cross-functional teams. - Leadership qualities, including mentoring and team development. - High adaptability to a fast-paced and dynamic work environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Staff Software Engineer - Python, Computer Vision
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Software Engineer – Video AI Team, Bangalore About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons, and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands are the storytellers bringing our characters to life, the creators bringing them to your living rooms, and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career-defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles & Responsibilities: We’re looking for a Staff Software Engineer for our Video AI Team in Bangalore to join the AI/ML organization, focusing on applications of AI to video. The team supports capabilities such as scene segmentation, video annotation, clip generation, metadata enrichment, video understanding, closed captions, translations, subtitles and content classification to help make WBD content truly global. In this role, you will help build a robust, scalable platform that enables the training, deployment, and observability of machine learning models. You will drive platform architecture, lead critical components, and work across teams to establish engineering excellence in the ML infrastructure layer. - Design and lead the development of core components of the machine learning platform with a focus on scalability, reliability, and cloud-agnostic principles. - Build APIs and microservices that power end-to-end machine learning workflows, including model deployment, orchestration, model registry integration, and observability. - Architect and deploy AI/ML pipelines for video ingestion, preprocessing, annotation, training, evaluation, serving, monitoring, and continuous improvement. - Develop cloud-native AI systems on Google Cloud Platform using Vertex AI, Vertex AI Pipelines, Vertex AI Endpoints, GKE, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, and related services. - Own cloud infrastructure and CI/CD automation using Infrastructure-as-Code principles, with hands-on implementation using Terraform, Kubernetes, Docker, and deployment automation tools. - Evaluate, fine-tune, train, optimize, and deploy open-source Computer Vision and Multimodal AI models and Vision Transformers for production use cases. - Design and operationalize Deep Learning, Computer Vision, Generative AI, LLM, VLM, and RAG-based capabilities for video understanding and content intelligence workflows. - Collaborate with content protection and security teams to ensure robust access controls, secure model/data access patterns, and compliance-aligned platform practices. - Champion engineering excellence through well-tested code, clear documentation, design reviews, code reviews, and continuous improvement of development and deployment practices. - Establish and enforce best practices in testing, code quality, monitoring, observability, incident readiness, and reliability for ML pipeline components. - Work closely with AI engineers, data scientists, product managers, and platform teams to support evolving use cases such as scene segmentation, video annotation, clip generation, metadata enrichment, recommendations, and media workflows. - Mentor engineers, influence architecture across teams, and help set long-term technical direction for Video AI platform capabilities. What to Bring - 9–12+ years of software engineering experience building scalable backend systems, distributed services, and cloud-native platforms. - Deep hands-on experience with cloud platforms such as GCP, with the ability to design cloud-agnostic deployment patterns. - Strong hands-on experience with GCP and Vertex AI platforms, including Vertex AI Pipelines, Model Registry, Endpoints, GKE, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, Cloud Monitoring, and Cloud Logging. - Experience working with production deployment of machine learning systems, including model training, evaluation, serving, monitoring, rollback, and lifecycle management. - Strong knowledge of Deep Learning, Computer Vision, and Generative AI models, including practical experience with modern ML frameworks such as PyTorch, TensorFlow, and Hugging Face ecosystem. - Hands-on experience evaluating, fine-tuning, training, and deploying open-source Computer Vision and Multimodal AI models for production use cases, including model optimization, transfer learning, distributed training, and performance benchmarking. - Excellent proficiency in Python with strong software design, API design, and architecture skills. - Strong experience with Terraform, Kubernetes, Docker, containerized deployments, CI/CD workflows, and Infrastructure-as-Code practices. - Experience building APIs, microservices, event-driven systems, and asynchronous processing patterns for large-scale ML workflows. - Experience in building and maintaining observability stacks such as Prometheus, Grafana, distributed tracing, and cloud-native monitoring tools. - Familiarity with model serving technologies such as Triton, TorchServe, vLLM or similar platforms is preferred. - Experience with RAG architectures, LLM/VLM deployment, vector databases, prompt engineering, and GPU-based inference systems is preferred. - Familiarity with Agile development practices, strong operational ownership, and a mindset for reliability, scalability, maintainability, and cost optimization. - Experience collaborating in cross-functional teams and setting engineering standards at scale through technical leadership, mentorship, and documentation. - Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Engineering, or a related field; equivalent practical experience will also be considered. What We Offer: - A Great Place to work. - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Senior Machine Learning Engineer
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture. HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring! Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) — ML Engineering What We Do Warner Bros. Discovery (WBD) is home to the world’s most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. At WBD, Machine Learning Engineering does rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks, with strong working knowledge of Snowflake and AWS, and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role: This is a senior, high-ownership US-based role that sits between our Senior MLE and Staff MLE levels. You will own the design and delivery of production ML systems end to end and take on cross-cutting technical leadership: setting patterns, driving key architectural decisions on flagship workstreams, and raising the bar for the broader ML organization — including close partnership with our Hyderabad ML team. As a US-based senior engineer, you will also serve as a technical anchor and time-zone bridge across the global team: framing ambiguous problems, unblocking others, and translating business priorities from US-based Product, Marketing, and Ad Sales stakeholders into an executable ML roadmap. This role is ideal for engineers with roughly 5–8 years of experience (3+ with a PhD) who operate with strong autonomy, lead by influence, and can move fluidly from hands-on modeling and pipeline engineering to architecture and mentorship. You will do meaningful individual technical work while beginning to exercise Staff-level scope across initiatives. What You’ll Do: ML System Design & Technical Leadership Lead end-to-end development of production ML systems: data sourcing, feature engineering, model training, evaluation, deployment, and monitoring. Own one or more flagship ML products — e.g., probabilistic identity resolution (matching unauthenticated device IDs and 1P cookies to households/persons with calibrated confidence), single-title affinity (two- tower retrieval), lookalike modeling, or forecasting — and drive their technical direction. Make and document key architectural decisions across a workstream (feature-store design, training/serving patterns, evaluation frameworks); provide deep trade-off analysis on scalability, latency, reliability, and cost. Design scalable feature and inference pipelines on Databricks (PySpark, Delta, Workflows/DLT, Unity Catalog) integrated with Snowflake and activation systems (Mosaic, FreeWheel, GAM), with documented feature contracts, backfill paths, and freshness SLAs. Establish and evangelize patterns that other engineers adopt; anticipate risks and failure modes before they surface. Modeling & Experimentation Develop and optimize models across the ML spectrum: gradient boosting (XGBoost/LightGBM), embedding/two-tower retrieval, neural ranking, probability calibration (e.g., isotonic regression), and probabilistic/graph- based matching. Design rigorous offline and online experiments; define evaluation frameworks (precision/recall, AUC-ROC, NDCG, decile lift, calibration curves) appropriate to each use case. Apply causal-inference techniques (propensity scoring, uplift/incrementality modeling) to measure true lift of audience targeting on engagement and retention KPIs. Contribute to lookalike modeling (LAL 2.0+) using 1,000+ first- and third- party features, including privacy-safe builds inside Data Clean Rooms (Snowflake DCR). MLOps & Infrastructure Champion MLOps best practices: model versioning, champion/challenger promotion, automated retraining triggers, drift detection, and production monitoring with MLflow on Databricks. Build and maintain robust, reproducible, auditable ML pipelines on Databricks (and AWS SageMaker where appropriate, e.g., the identity- resolution track); enforce leakage prevention and training/serving consistency. Shape the team’s feature-store strategy — feature contracts, backfills, and freshness SLAs — and implement data-quality checks, model-health dashboards, and alerting thresholds. Embed FinOps cost discipline (compute caps, auto-termination, job tagging) into pipeline design. Agentic AI & Modern Development Actively use and advocate for AI-assisted development: Cursor, GitHub Copilot, and Amazon Q for code generation, review, and documentation. Leverage Databricks Genie as a governed natural-language analytics layer — configuring Genie Spaces over ML feature tables and audience datasets to enable self-service exploration for cross-functional stakeholders. Use Snowflake Cortex (Copilot, Cortex Analyst, Cortex Search) to accelerate SQL authoring, data discovery, and RAG-based internal tooling over Snowflake-resident identity and audience data. Design and prototype agentic ML workflows (MCP-compatible tooling, LangChain/LangGraph) to automate repetitive tasks such as data validation, feature selection, and hyperparameter search; evaluate LLM- based approaches for metadata enrichment and content understanding. Mentorship & Cross-functional Collaboration Mentor Senior and MLE 2 engineers — including members of the Hyderabad team — through code reviews, design discussions, and pairing; contribute to and help set team technical standards. Serve as a US-based point of contact and time-zone bridge for the global ML team; help align priorities and unblock the India team across time zones. Partner with US-based Product, Marketing, and Ad Sales stakeholders to translate business requirements into ML problem formulations, and with Data Engineering on data contracts and pipeline SLAs. Communicate model performance, trade-offs, and business impact clearly to technical and non-technical stakeholders. Flagship Projects You’ll Work On Identity Intelligence — foundational, privacy-safe identity across all WBD brands: probabilistic ID resolution that resolves unauthenticated signals to households/persons with calibrated confidence (entity resolution with gradient boosting and embeddings, representation learning, isotonic calibration, candidate blocking, champion/challenger pipelines), expanding addressable audiences beyond deterministic matching. Audience Intelligence — advertising and marketing use cases: lookalike and predictive audiences (LAL across 1,000+ features), ML-driven smart audiences, layered retrieval + propensity, and incrementality/closed-loop optimization, with privacy-safe activation including data clean rooms. ML-based Forecasting — audience growth, demand, and advertising yield/pricing forecasting that powers ad sales and marketing decisions. Content Preferences & Affinity — genre-preference, content-preference, and single-title affinity modeling (two-tower retrieval with semantic content embeddings) that ranks audiences for upcoming titles and powers cross-channel promotion. What You’ll Bring: Required 5–8 years of industry experience in ML engineering or applied data science (3+ years with a Ph.D.), including a track record of leading projects to production. Deep Python expertise and strong software engineering practices; production experience building and deploying ML at scale (millions+ of users/records). Strong proficiency in Databricks (PySpark, Delta Lake, Workflows/DLT, MLflow, Unity Catalog) and solid SQL/Snowflake experience for feature sourcing and model-output delivery. Experience with AWS ML services (SageMaker, S3, Lambda). Strong understanding of ML model evaluation, A/B testing, and statistical/causal inference; depth in one or more of recommendations & ranking, identity resolution, embeddings/retrieval, forecasting, or optimization. Demonstrated technical leadership: driving architectural decisions, setting patterns/standards, and mentoring other engineers — including leading by influence across teams and time zones. Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience). Excellent written and verbal communication, with the ability to advocate technical solutions to engineers, scientists, and product stakeholders. Preferred: Recommendation systems, personalization, identity resolution, or audience modeling in a media / streaming / ad-tech context. Experience with two-tower / retrieval architectures, probabilistic identity resolution (graph-based matching, entity resolution, confidence calibration), and Data Clean Room ML (Snowflake DCR, AWS Clean Rooms). Experience architecting or standardizing components of an ML platform used by multiple engineers or teams. Hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, MCP), Databricks Genie Space configuration, and Snowflake Cortex. Experience with feature stores (Databricks Feature Store, Tecton, Feast) and contributions to open source or ML publications. Experience partnering with or mentoring globally distributed teams. Our Technology Stack Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow, Feature Store, Unity Catalog, Asset Bundles, Genie). Cloud: AWS (SageMaker, S3, Lambda). Warehouse: Snowflake (incl. DCR, Snowpark, Cortex). Activation: Mosaic, FreeWheel, Google Ad Manager. Agentic AI: Cursor, GitHub Copilot, Amazon Q, Databricks Genie, Snowflake Cortex, MCP. Languages: Python (primary), SQL, Scala (as needed). Warner Bros. Discovery is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $159,180.00 - $295,620.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Staff, Data Science & Applied AI
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As Staff, Data Science & Applied AI, you will be a core technical contributor within the Enterprise Data & AI Solutions team supporting Warner Bros. Discovery’s global portfolio — including Studios, Streaming, Linear Networks, Consumer Products, Games, and Direct-to-Consumer platforms. This role is designed for a hands-on expert in applied data science who thrives at the intersection of statistical rigor, machine learning engineering, and business impact. You will translate complex business challenges into scalable analytical solutions, production-grade models, and data products that drive measurable enterprise value. You will operate as a senior individual contributor, partnering closely with Product, Engineering, and Business stakeholders to design, develop, deploy, and scale advanced analytics and AI capabilities across the organization. Key Responsibilities include: Advanced Analytics & Machine Learning - Design, develop, and deploy statistical, predictive, and machine learning models across domains such as customer analytics, forecasting, personalization, optimization, and content performance. - Apply advanced techniques including ensemble methods, gradient boosting, deep learning, NLP, time-series forecasting, and recommendation systems. - Ensure model robustness through rigorous validation, monitoring, and performance tracking. Generative AI & LLM Applications - Design and implement Generative AI solutions leveraging large language models (LLMs) for use cases such as knowledge retrieval, content intelligence, metadata enrichment, summarization, and workflow automation. - Develop and optimize prompt engineering strategies, evaluation frameworks, and guardrails to ensure high-quality, reliable outputs. - Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. - Fine-tune or adapt foundation models where appropriate using parameter-efficient techniques (e.g., LoRA, adapters) aligned with business needs. - Implement evaluation pipelines to measure hallucination rates, bias, latency, cost efficiency, and model quality in production environments. - Collaborate with Responsible AI and Governance teams to ensure compliance with enterprise AI policies, data privacy standards, and ethical AI practices. Product Ionization & AI Engineering - Collaborate with Data Engineering and DevOps teams to productionize ML and GenAI solutions in scalable cloud environments. - Design CI/CD pipelines for model lifecycle management, including experimentation tracking, versioning, and automated retraining. - Implement monitoring frameworks for model drift, prompt drift, performance degradation, and data integrity. Automation & AI Framework Development - Develop reusable ML and GenAI frameworks, accelerators, and internal utilities that improve productivity across teams. - Advance automation initiatives to reduce manual workflows and enhance analytical velocity. - Stay current with cutting-edge advancements in foundation models, multimodal AI, and agentic architectures to continuously elevate enterprise AI capabilities. Qualifications & Experiences: - Bachelor’s degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline. - 8+ years relevant experience in data science, 2+experience in GenAI - Demonstrated track record of delivering production-grade AI/ ML solutions with measurable business impact. Generative AI & Large Language Model (LLM) Expertise - Hands-on experience designing and deploying Generative AI solutions using large language models (e.g., GPT-class models, open-source foundation models, or enterprise LLM platforms). - Strong proficiency in prompt engineering, structured output design, few-shot learning strategies, and systematic prompt optimization - Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources. - Familiarity with embedding models, semantic search, and vector stores (e.g., Pinecone, Weaviate, OpenSearch, FAISS, or equivalent). - Experience fine-tuning or adapting foundation models using parameter-efficient approaches (e.g., LoRA, adapters, instruction tuning). - Understanding of LLM evaluation methodologies, including hallucination detection, bias assessment, response quality scoring, and cost-performance trade-offs. - Exposure to multimodal AI (text, image, audio, video) and agent-based workflows is a plus. - Experience working with enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI, Databricks Model Serving, Snowflake Cortex, or equivalent). - Understanding of Responsible AI principles, data privacy considerations, and model governance requirements in regulated environments. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Staff Data Scientist
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Data Scientist: About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons. and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles and responsibilities: The Staff Data Scientist will serve as a individual contributor driving the design, experimentation, and delivery of advanced machine learning solutions for media intelligence and localization use cases. This role defines modeling approaches that advance the state of the art, and turns research into scalable, production-ready ML systems with measurable product and customer impact. The ideal candidate brings deep hands-on expertise in applied machine learning, statistical analysis, and evaluation methodologies and drive innovation through data-informed decision-making. Your Role Accountabilities: - Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing. - Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines. - Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth. - Lead, mentor, and grow a team of Applied data scientist, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths. - Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers What to Bring - 8+ years total experience of building production grade machine learning solutions - Experience in designing machine learning driven, large-scale distributed systems with large scale customer base - Good practical knowledge in modern machine learning lifecycle. - Ability to technically collaborate with partners - Good understanding of machine learning platform Preferred: - PhD, or Master's degree in CS, CE, ML or related fields. - 3+ hands-on experience in any one of following fields: Computer Vision, ASR, Translation or Text-to-Speech technologies. - Working experience with global teams - Experience in patents or publications at top-tier peer-reviewed conferences or journals What We Offer: - A Great Place to work. - Challenging ML problems in Media Domain. - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Sr. Software Engineer, Generative Models
Sr Software Engineer, Generative AI Models About Intangible Intangible is a spatial intelligence company building a new class of creative tools. Our flagship product, Intangible Studio, is a browser-based 3D platform that takes teams from idea to finished scenes and shots with speed and control. We combine real-time 3D with generative AI, so creatives keep hands-on control of composition, camera, animation, and the overall artistic vision. It is the one platform that brings LLMs, image, video, and 3D generation into a single workflow, backed by a multi-agent architecture and a proprietary world model. What you set up is what you get – the speed of AI visualization and the control of 3D. Intangible runs in production with customers across film, advertising, retail, events, aerospace, automotive, and deeptech – high-stakes creative work where you can’t afford AI slop. Built by veterans of Apple, EA, ILM, Pixar, Unity, and BMW. The Role You will integrate new generative models (images, video, Gaussian splats) into Intangible Studio and contribute to features in our 3D engine. New image, video, and 3D models ship constantly. Your job is to evaluate them quickly, find what is actually usable, understand new capabilities, and integrate the good ones into our pipeline within days of their launch, not months. That pipeline runs from a 3D scene to scene context to rich prompting and positional data, then into a model that returns a result in a specific style. You will work across the job system that powers it (TypeScript and Node on Google Cloud) and the visualizer that renders it, evolving both as model inputs get richer: image-to-image, image-to-video, video-to-video, multi-image references, and whatever lands next. The bar is cinematic because our customers have high-stakes, real world use cases. We build for high-end creative work, so "it matches the scene composition" is table stakes. The harder question is whether the output actually looks good or reads as AI slop. You need the visual eye to tell the difference and the engineering range to fix it. What You'll Do - Evaluate new image, video, and 3D models as they ship. Kick the tires, find what is usable, and integrate the winners end to end. - Build and evolve the job system (TypeScript, Node, Google Cloud) as model inputs grow richer: image-to-image, image-to-video, video-to-video, and multi-image or video references. - Own integrations all the way through: tuning hooks, backend wiring, and the visualizer and UX changes that ship with them, alongside other engineers. - Pitch in on the 3D layer: scene composition, cameras and projection, WebGL and WebGPU, Gaussian splats, and shaders for post-process effects. - Hold a cinematic bar on every output. Push back when something looks off instead of shipping it. - Give the team reliable US-timezone coverage alongside 3D engineers based in Europe and Asia. What We're Looking For - Engineering judgment. You understand the code you ship and do not auto-accept AI-generated commits you cannot maintain. - A real visual eye. You can explain why an image works or does not, not just that it looks fine. A photography, film, or animation habit is a good sign. - Collaborative by default. You jump on a call or ask a question rather than spend three days proving you can do it alone. - Excited by the craft. You see what these tools make possible and want every frame hitting the highest quality. - Ahead of the curve. You keep us setting the pace instead of scrambling once something has slipped. Requirements - 5+ years building and shipping production software, senior enough to own systems end to end - Strong TypeScript and Node. TypeScript is around 90% of our codebase, so this one is non-negotiable. - Backend platform experience with microservices on a major cloud. We use Google Cloud; AWS or Azure experience translates. - Working knowledge of 3D: how cameras, projection, perspective, and depth of field actually work, plus WebGL or WebGPU - Enough front-end ability to take a feature all the way to the UI - A demonstrable eye for visual quality, ideally backed by a personal obsession with photography, film, animation, or 3D Technical Stack Day one: - TypeScript and Node.js (around 90% of our codebase) - Microservices on a major cloud (we use Google Cloud; AWS or Azure translates) - Three.js, WebGL and/or WebGPU - 3D rendering fundamentals: cameras, projection, perspective, depth of field - React.js to take a feature all the way to the UI Nice to have: - Gaussian splats - Shaders for post-process work - ECS (entity component system) patterns - Fine-tuning or training generative models - Generative pipelines (e.g. ComfyUI) - Agentic AI or workflow tooling - Microservices on a major cloud (we use Google Cloud; AWS or Azure translates) - Game development experience
GTM Ops Specialist
About Intangible Intangible is a spatial intelligence company, designed for creatives in industries where space and movement matter — everything from film & advertising to events and defense/space tech. We aim to move beyond verbal intelligence (prompts) to spatial intelligence (3D) by giving generative AI models a better understanding of exactly what humans imagine. We get there with camera-centric control system as well as technical innovation in 3D design, semantic systems, AI/ML, and knowledge graphs — all designed to live on the open web and deliver professional grade control over generative AI models. We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM, Google and Electronic Arts. Intangible is venture-funded by a16z Speedrun, Crosslink Capital and prominent angels. We are looking for like minded creative technologists who love their craft and building groundbreaking products. Responsibilities Growth Operations & Automation - Build and manage automated workflows across the marketing and sales stack using tools like Clay, Zapier, and Mailchimp - Maintain the operational backbone of our GTM motion — keeping systems connected and data flowing - Identify opportunities to automate repetitive work and increase team velocity - Maintain CRM hygiene and support pipeline reporting Lead Generation & Outreach - Plan and execute webinars end-to-end - Support outbound prospecting by managing lead lists and outreach sequences - Manage inbound inquiries across email and LinkedIn - Test new growth channels including ads, partnerships, and co-marketing campaigns - Own Generative Engine Optimization (GEO) to ensure Intangible surfaces in AI-driven search and discovery Lifecycle Marketing & Content - Manage lifecycle email programs including onboarding, feature launches, and re-engagement - Maintain tutorial and educational content as the product evolves - Coordinate with designers, writers, and video creators to produce marketing assets - Repurpose content across channels including email, social, and outbound - Manage Intangible’s social presence and support product launch moments Growth & Operations Support - Maintain and update the company website to reflect current messaging, product positioning, and campaigns - Manage core marketing and sales systems and ensure tools are functioning effectively across teams - Track campaign performance and support reporting on marketing and growth initiatives Key Competencies - We're a small, fast-moving team, so comfort wearing multiple hats and flexibility across projects and priorities is essential. - 2–4 years of experience in growth marketing, marketing operations, or revenue operations (ideally at a startup) - Hands-on experience with automation tools like Clay, Zapier, or similar platforms - Strong written communication skills - Highly organized with the ability to manage multiple projects simultaneously - Experience with marketing and sales tools (CRM, CMS like Webflow, email platforms) - Comfortable creating simple visuals in Canva, Figma, or similar tools - Comfortable working as a generalist across marketing, sales, and operations - High ownership and initiative - Familiarity with B2B SaaS products is a plus Bonus Qualities - Experience with Clay automations - Experience with Webflow - Familiarity with Gleap or similar customer support tools - Interest in GEO / AI search visibility - Experience coordinating freelance creatives - Prior early-stage startup experience - Demonstrated ability to incorporate AI tools into daily workflows to improve speed and efficiency Benefits - We are a remote-first distributed company with HQ in the SF/Bay Area - Health insurance for you and your dependents - 401(k) plan with employer contribution - Flexible PTO Technical stack keywords: CRM, Clay, Zapier, Webflow, Mailchimp, Attio, Gleap, Surface Labs, Figma, Canva, automation, growth marketing, email marketing, GEO, SEO, pipeline reporting, Linear
Product UX Designer
Product UX Designer Intangible · Full-time · San Francisco About Intangible Intangible is a spatial intelligence company building a new class of creative tools. We make Intangible Studio, a browser-based 3D platform that allows creatives move from idea to fully realized scenes and shots with incredible speed and clarity. We combine real-time 3D with generative AI, giving them hand-on control of composition, camera, animation and their overall artistic vision. The Role Working closely with product, engineering, and our customers, you’ll define how teams create and collaborate in Intangible Studio. You’ll shape core workflows, interaction patterns, and system behavior, translating complex capabilities into clear, usable experiences that hold up in real-world use. The product sits at the intersection of 3D, AI, and storytelling. The challenge is making something powerful feel simple, immediate, and clear, for individuals and for teams working together. What You’ll Do - Work product and customers to understand and define how users think, create, and collaborate - Partner with engineering to deliver solutions with clarity and quality, maximizing the capabilities of the underlying technology - Design end-to-end workflows, from first idea to finished output - Turn complex systems into clear, intuitive, learnable experiences - Prototype quickly to explore, test, and refine concepts - Bring a high bar for design clarity, craft, and detail across everything we ship What We’re Looking For - Strong product thinking. You define problems clearly and move them toward resolution - Systems mindset. You understand how tools behave across workflows and teams - Collaborative by default. You work closely with product, engineering, and customers - High craft. Interaction, layout, motion, and detail all matter - You move quickly. You explore, decide, and iterate with intent - Clear communicator. You can articulate why something should exist, not just what it looks like Requirements - Strong portfolio showing thoughtful problem framing, system-level thinking, and real-world impact - 5+ years designing and shipping products used by real teams, ideally in creative domains - Track record of owning work end-to-end, from early concept through launch and iteration - Proven ability to simplify complex capabilities into clear, usable experiences - Comfort prototyping as part of thinking, using it to explore, test, and refine ideas quickly - Experience partnering with engineering to carry ideas through to high-quality implementation Bonus - Experience with game engines, 3D tools, or spatial interfaces - Experience with multimodal or AI-driven interaction patterns
General Interest
About Intangible Intangible is camera-native AI for creative direction, giving professional teams camera-centric control over generative AI so they can see the whole story before they build it. We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM and Electronic Arts. Intangible is seed funded by a16z Speedrun, Crosslink Capital and prominent angels. We are a design-obsessed team shipping a groundbreaking product — and we’re looking for someone who shares our attention to detail and love of craft in building fun things. If you’ve been looking for something with actual creative freedom and real impact I promise you - this is it. General Interest We’re always excited to meet talented, driven individuals who want to shape the future with us. If you don’t see an open role that matches your expertise but believe you’d be a great fit for our team, we’d love to hear from you! Submit your application and we’ll keep your details on file. When the right opportunity comes up, we’ll be sure to reach out.
Player Experience Specialist (AI & Automation)
At Sorare, we want to hire passionate and innovative people! Are you looking for an empowering environment to grow professionally and personally? Join us in this tremendous adventure! Our Mission Sorare is a fantasy sports gaming experience and marketplace featuring officially licensed digital player cards. With Sorare you build legacy teams – buying, selling, collecting and trading player cards -- and compete with them in free-to-play fantasy games to win rewards week over week and season over season, just like a professional sports owner. Sorare is revolutionizing digital sports fandom, and now has over 5 million users across 180 countries. More than 300 iconic teams, clubs, and organizations including the Premier League, La Liga, Bundesliga, MLS, NBA, NBPA, MLB, MLBPA, and many others have partnered with Sorare to build the next sports entertainment giant. Our Journey Sorare was founded by Nicolas Julia and Adrien Montfort in 2018 in Paris to bring sports fans across the globe closer to the players, teams, and leagues they love. With 60-plus employees in France, Sorare is one of Europe’s fastest-growing startups and recently raised a $680 million Series B funding round from world-class investors including SoftBank, Accel, and Benchmark. Sorare also has athletes Serena Williams, Zinedine Zidane, Rio Ferdinand, Antoine Griezmann, Gerard Piqué, Blake Griffin, and Rudy Gobert among its investors, ambassadors, and advisors. Our Values - Own your game: Think and act like an owner, and expect your teammates to do the same. You are an “entrepreneur” empowered to make decisions and own the outcomes. - Build with the fans, and for the fans: Have an obsession for high-quality user experiences. Engage our community with transparency to build trust and learn from the fans to deliver effective changes. - Win as a team: We are all in this together as one team, win or lose. Inspire your teammates to always be better. Please note that Sorare is a hybrid work company; employees are required to be in office 3 days a week. What You'll Do - Support players through our ticketing platform (Zendesk), providing thoughtful, accurate and empathetic assistance at high volume. - Investigate account-related issues using internal tools and administrative systems. - Keep our service standards high: protect first response and resolution times, and help lift CSAT. - Escalate complex issues to the right internal teams, keeping escalations clean and well-documented. - Spot recurring issues and patterns, and turn them into opportunities to automate: improve our chatbot, automated Zendesk responses and Help Center so players get answers faster and fewer tickets reach the queue. - Work hand in hand with the tech team on support tooling and automation, using AI tools to make yourself and the team more efficient. - Identify bugs and player pain points, and communicate them clearly to Product and Engineering. - Partner with Product by sharing player feedback and contributing to a PES review step on new releases. What We're Looking For - 1-2 years in customer support or customer operations, or a strong first experience paired with the right attitude (early-career candidates welcome). - A genuine appetite for AI and automation: you experiment with tools and are excited to work closely with engineers to build smarter support. - Excellent written communication in English and French (C1 minimum) - A problem-solving mindset, genuine curiosity, and comfort getting hands-on with internal tools. - Strong attention to detail and the ability to learn fast in a fast-moving environment. - Empathy and genuine care for players. - Passionate about football and sports, with a good understanding of the game. Nice to Have - Familiarity with ticketing tools (Zendesk or similar). - Exposure to automation, no-code / low-code tools, scripting, SQL, or AI / LLM tools. Sorare is an equal opportunity employer committed to an inclusive and diverse workplace. All applicants will be considered for employment without attention to: race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other basis prohibited by law. As we are an international company, please note we speak English in the workplace. Please apply for the role with an English CV so we can process your application.
Software Engineer, AI Native
Company Overview: Age of Learning® is the leading developer of engaging and effective Pre-K through 2nd grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company’s research-based curriculum, developed by education experts, includes the award-winning programs ABCmouse®, Adventure Academy®, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español®. Having served over 55 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit AgeofLearning.com. Summary: AI-Native engineering is the new baseline at Age of Learning — engineers who do not just use AI tools occasionally, but design their workflows around them, orchestrate agents to plan and execute work, and treat AI coding agents as a first-class collaborator. We are seeking a Senior Software Engineer, AI Native to join the ABCmouse product team within Digital Consumer Products. You will help us build high-performance web and mobile applications that reach millions of learners, while helping us craft how AI-Native engineering takes shape on our team. AI Native Expectations: - Daily use: You use AI coding agents (for real, substantive tasks — analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete. - Velocity: We expect engineers who use AI well to operate with meaningful leverage — doing more at the same time and improving productivity for themselves and their team. - Team leadership: As an AI champion, you share what works, whether that be skills, plugins or MCP’s, providing guidance and setting standards on usage for your team and the company as a whole. - Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work. Responsibilities: - Apply agentic workflows across the SDLC — refactoring, test generation, debugging, documentation, codebase navigation — and help evolve the team’s AI-Native engineering practices in the process - Own features end-to-end through production — monitor what you ship and use data to validate your assumptions - Drive technical decisions and architectural direction for your area of ownership; the code you ship sets the standard for the team - Leave the codebase cleaner than you found it — refactoring is not a separate backlog item, it is part of how you ship - Partner with Product, Design, and stakeholders to align on scope, priorities, technical tradeoffs, and delivery timelines - Identify, design, and develop features and functionality within applications for deployment to web, iOS, and Android Minimum Qualifications: - 5+ years of professional software engineering experience, ideally consumer-facing and content-driven web or mobile applications - 2+ years of hands-on experience prompting, evaluating, and building with LLMs and AI coding assistants - Deep experience with agentic workflows, prompt engineering, and context window management - Track record of using AI tooling to multiply your own output — not just as autocomplete, but as a genuine development partner - Demonstrated ability to own features end-to-end through production, including post-release monitoring and learning from data - Shipped production cross-platform mobile applications to both the iOS App Store and Google Play - Familiar with software design paradigms and design patterns - Solid understanding of the full software development life cycle - Experienced with performance tuning and optimization techniques for both front-end and backend systems. - Strong communication and collaboration skills - Genuine excitement for helping define what AI-Native engineering means at Age of Learning Preferred Qualifications: - Bachelor of Science in Computer Science degree or related subject - Experience with MCP, function calling, or tool-using agents - Experience with Svelte or SvelteKit - Experience consuming REST and/or gRPC APIs - Proficient in JavaScript and TypeScript - Proficient in Flutter and Dart - Experience working in an Agile development framework - Educational and/or game development experience The estimated salary range for a new hire in this position is below. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location. Total Compensation: $160,000 - $180,000 USD Age of Learning currently provides: - 91% of employee health and welfare benefits premiums & 70% of dependent benefits premiums - A 401(k) program with employer match - 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year - 7 paid days for company-wide year end closure (includes 3 observed paid holidays) - Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions Security Advisory At Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts — be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom — never through messaging apps. Job offers are communicated verbally and followed by written documentation via DocuSign. Any requests for personal information will occur through secure channels only. An Equal Opportunity Employer Age of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the “Company”) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act. Employee/Applicant Privacy Notice We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Engineering Manager, AI Game Engine
About Us Weekend is the leading developer of voice AI games for smart TVs. Our games attract millions of users every month, with family favorites like Jeopardy!, Song Quiz, CoComelon: Sing and Play with JJ, and Wheel of Fortune. We believe voice interfaces will become the main way people access entertainment in their living rooms, kitchens, bedrooms, and cars. We’re building a bundled subscription product similar to Netflix or Spotify for the emerging category of “AI-powered games.” Weekend was founded by Max Child and James Wilsterman in 2024. The founders went through Y Combinator in 2018 and landed a spot on the 2022 YC Top Companies List. We’re a quickly-growing team headquartered in Union Square, San Francisco. Role Summary We’re looking for an experienced Engineering Manager to lead our AI Game Engine team . You will lead a high performing team of software and ML engineers building the systems and services needed to deliver best-in-class voice-first AI-native gaming experiences to our players on connected TVs and other gaming surfaces. This is a new team responsible for building and evolving our core voice and model integrations along with other services needed to deliver our game development and runtime platform. This includes speech-to-text and text-to-speech pipelines, LLM game integration, model evaluation and fine tuning, image generation pipelines, and content/prompt management. You will work closely with our Game and Platform teams as well as cross functional partners in Product and Data to drive our AI and game engine strategy. You will identify impactful opportunities, rapidly ship new features, and your products to support current and future players. We’re actively expanding our game titles and platforms and this is an opportunity to play a pivotal role in creating innovative, fun applications in voice-activated gaming across connected devices. This job opportunity offers a hybrid work arrangement, and we are specifically seeking candidates who are comfortable with on-site attendance in our Bay Area office 3 times per week and are either currently residing in or near the Bay Area or willing to relocate for on-site work. What You'll Do at Weekend - Lead and grow a high performing team of engineers, ensuring we build the right things at the right time to support our evolving gaming ecosystem. - We are an AI-first development shop - evangelize and leverage AI productivity and development tools within your team and help drive adoption across the company. - Partner closely with Product and Game teams to define the roadmap, set priorities, deliver delightful and impactful features. - Build and scale systems and services to enable fun, engaging and unique player experiences leveraging STT/TTS, LLMs and other core technologies. - Collaborate with platform and infrastructure teams to identify upstream and downstream dependencies, align delivery schedules, and streamline release processes. - Foster a culture of ownership, continuous learning, and product thinking within the team. - Ensure the technical excellence of the team by providing feedback, promoting best practices, and helping remove roadblocks. We're Excited About You Because You Have - 2+ years managing engineering teams, with a proven record of cultivating productivity and team satisfaction. - Demonstrated ability to build and grow high performing engineering teams - 5+ years of hands-on software engineering experience, ideally in fast-paced consumer product environments. - Experience successfully building and evolving AI integrations leveraging STT/TTS/LLM and similar models. - Demonstrated cross-functional collaboration, with strong communication skills and a bias toward action. - Experience building and running scalable services and/or software platforms including monitoring, alerting and incident response. Bonus Points - Experience and personal interest with gaming, interactive media, and AI-powered consumer applications - Prior work on cross-platform products across mobile, smart TVs or voice assistants Our Stack - Typescript & Node.js - React, React Native, Brightscript - DynamoDB, PostgreSQL, Redis - Kubernetes - Amplitude, Snowflake, Tableau The Hiring Process - Stage 1 (Preliminary Phone Screen): with Head of Recruiting. - Stage 2 (Hiring Manager Chat): with Senior Director of Engineering. - Stage 3 (Technical Phone screen): with an Engineering Manager. - Stage 4 (On-site Visit) with various partners and teammates. - Stage 5 (Founder Chat): with our co-founders (CTO/CEO). - Stage 6 (Offer) As an AI company, we’re a huge believer in the value of AI tools. That being said, the interview process is intended as a conversation - we want to get to know you and your experience. Please refrain from using AI tools during all Weekend interviews unless otherwise specified What's in it for You - Your medical, dental, and vision insurance is 100% covered by Weekend, for yourself and all dependents and we match 401k! - We offer a flexible, hybrid work-from-home and in-office work model. - We offer unlimited paid time off (enforced 2-week minimum), 16 paid holidays, 40 hours of bereavement leave, and unlimited sick days. - Our generous parental leave policy includes 24 weeks at 100% pay for birthing parents and 12 weeks at 100% pay for non-birthing parents. - We offer visa support for eligible candidates, making relocating for the job smoother and more streamlined. - A full breakdown of our benefits is here ! For Pay Transparency: The final offer amount may depend on experience, education, skills, and location. Base pay is one part of the total package that is provided to compensate and recognize employees for their work. Weekend is committed to the full inclusion of all qualified individuals. As part of this commitment, Weekend will ensure that persons are provided reasonable accommodations throughout the hiring process. If any reasonable accommodation is needed, please reach out to your hiring contact.
Technical Product Manager - AI Agent Systems
About Block Labs Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming . We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. The Role We are hiring a Product Manager to lead the Agent Execution Layer within our iGaming white-label ecosystem. In this role, you define how our agent intelligence "acts" and exactly what information it has access to. You are responsible for two core pillars: owning the product design, rollout, and orchestration of the Signal Layer and Agent Systems . You will design and ship agents that are both User-Facing (e.g., resolving player issues in real-time) and Internal/Operational (e.g., optimizing back-office execution and company-wide processes). The Agent PM acts as the orchestrator of autonomous action. You will gather requirements and use cases PMs who own our core modules (Casino, CRM, Cashier, etc.) and work directly with developers to turn complex data and workflows into autonomous actions. Crucially, you are the safeguard of the system architecture, ensuring that Signals, decision engines, and agents remain cleanly separated and reusable across all products. The Agent & Signal System You will manage the system that turns raw casino and player data into automated business outcomes: - The Signal Layer: You define the "senses" of the platform. You are responsible for the logic and semantics of the unified intelligence layer—determining which data points from disparate sources must be synthesized into actionable signals. - The Agent Execution Layer: You define the roadmap and the decision-logic for the "doers." You bridge the gap between intelligence and action, designing the workflows for autonomous agents that solve high-friction player problems and streamline operator tasks. What You’ll Own - Agent Roadmap & Orchestration: Translating requirements from Module PMs into a clear development roadmap for our autonomous workforce. - Full-Trace Observability: Defining the requirements for monitoring and tracing agent decisions. You ensure we have visibility into why an agent made a specific choice at any given node. - Semantic Strategy & Governance: Design the logic and "meaning" for a shared Signal Library. You define exactly what data matters, how it is calculated, and ensure these signals are governed and documented within a centralised Feature Catalog. - Autonomous Workflows: Designing and managing the lifecycle of autonomous workflows—from Automated CS Resolution to Withdrawal Review Agents and Fraud Review Agents . - Operational Performance: Establishing the bar for agent accuracy, resolution rates, and ROI. You are responsible for the material performance and "business intelligence" of the autonomous workforce. What You’ll Be Doing - Map Decision Paths: Work alongside other PMs to define the logical requirements an agent needs to resolve an issue, escalate it, or trigger a secondary process. - Gather Signal Requirements: Collaborate with product teams to identify high-value use cases. You will rigorously collect and document definitions, required latency, and source systems for all data signals. - Manage the AI Backlog: Prioritize features and agentic capabilities based on business ROI, technical readiness and company’s objectives. - Define Success Criteria: Establish clear, measurable KPIs for agent accuracy, resolution rates, and operational performance. - Orchestrate Delivery: Work directly with AI and Data developers to bring your process maps to life. Your job is to define the "What" and "Why"—their job is the "How." - Iterative Refinement: Use full-trace observability to identify where logic breaks or where additional signals are needed, constantly iterating on agent performance. Experience We’re Looking For Required: - 3+ years in Technical Product Management , ideally with a background in Software Engineering . - Experience shipping agentic AI products: You have put autonomous agents into production that handled real workflows and drove measurable business outcomes. - Data Fluency: Deep understanding of data triggers across multiple sources; ability to define the "digested" signals required for high-stakes decision engines. - Logic-First Mindset: Demonstrated ability to map out complex decision trees and identify the exact context needed to automate them from end-to-end. - Technical Leadership: Experience working directly with AI/ML, Data Engineering, and Backend teams to ship logic-heavy, production-grade products. - Agentic Frameworks: Familiarity with agentic AI patterns and tooling (e.g., LLM agents, tool use, LangChain, OpenAI functions, memory systems) Preferred: - iGaming / Casino Experience: Understanding of operator workflows and common friction points is a significant plus. - Experience in a B2B or White-Label environment, managing stakeholder requirements from external tenants. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.
Senior AI Engineer
About Us: Founded in 1972, Atari is one of the world’s most iconic consumer brands and a pioneer in the video game industry, known for creating classics like Pong, Asteroids, and Centipede. Today, Atari Inc. continues to build on its legacy by developing games, hardware, and experiences that honor the past while driving innovation for the future. Over the past two years, we've been building Atari India, a growing team that plays a critical role in supporting our global operations. We're proud of the team we've assembled so far, and we’re just getting started. As part of a lean, high-impact organization, the team in India works closely with colleagues in North America and Europe on projects that move the company forward. Whether you're helping launch a new game, keeping our infrastructure secure, or supporting day-to-day operations, your work here matters. Join us as we continue to grow Atari India and build the future of a legendary brand. Position: Senior AI Engineer Experience: 5+ Years Location: Netaji Subhash Place, Pitampura, Delhi. Employment Type: Full-Time Working Hours: 9:00 AM - 6:00 PM (IST) About the Role We are seeking an exceptional Full Stack Developer (AI Applications) to build and scale the next generation of AI-driven products at Atari. This role requires deep expertise across the entire application stack, with a strong focus on integrating and optimizing Generative AI and Machine Learning models as core product components. The ideal candidate will bridge the gap between data science and product engineering — transforming data models into intelligent, user-facing features that enhance product performance, usability, and value. Responsibilities A. Full Stack Application Development - Architecture & Design: Design and implement scalable, high-performance architectures for front-end interfaces (React, Vue, or Angular) and back-end microservices (Python/Node.js). - API Development: Build, document, and secure efficient RESTful or GraphQL APIs to enable seamless data and model communication across systems. - Data Persistence: Configure and optimize data models in relational (PostgreSQL, MySQL) and non-relational Vector Databases to support AI workloads. - Testing & CI/CD: Develop unit, integration, and end-to-end tests; manage deployment pipelines ensuring quality, stability, and reliability. B. AI Product Integration and MLOps Focus - Model Implementation: Integrate Large Language Models (LLMs) and machine learning artifacts into production environments with an emphasis on latency, reliability, and cost efficiency. - RAG System Engineering: Lead the design and development of Retrieval-Augmented Generation (RAG) systems — managing data chunking, embedding, indexing, and retrieval for contextual responses. - Performance Optimization: Improve AI application responsiveness via prompt engineering, caching, and inference optimization. - Cross-Functional Collaboration: Work closely with Data Scientists and MLOps Engineers to deploy, monitor, and continuously improve AI systems in production. Requirements - 5+ years of experience as a Full Stack Software Engineer, including at least 1 year of hands-on AI/ML integration experience. - Strong front-end development skills in TypeScript/JavaScript and frameworks like React or Next.js. - Advanced back-end development experience in Python (preferred) or Node.js, with proven ability to build scalable APIs. - Proficiency with LLM APIs (OpenAI, Gemini, Claude), frameworks like LangChain or LlamaIndex, and Hands-on experience with Claude Code and Model Context Protocol (MCP). - Experience with containerization (Docker) and deployment on major cloud platforms (AWS, GCP). Bonus Points - Hands-on experience building or maintaining RAG pipelines - Familiarity with Claude Code and Model Context Protocol (MCP). - Exposure to vector databases (Pinecone, Weaviate, Chroma). - Familiarity with CI/CD automation for ML-integrated applications. Preferred Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field. - Strong understanding of MLOps principles and AI model lifecycle management. - Familiarity with cloud-based orchestration (Kubernetes) and infrastructure-as-code concepts.
Game Security Data Scientist
THE COMPANY KRAFTON is dedicated to identifying and publishing games worldwide that offer a uniquely enjoyable experience, crafted by our globally recognized production studios known for their distinctive creativity. We continuously push the boundaries of gaming enjoyment by embracing new challenges and technologies and expanding our platforms and services to captivate an even larger fan base. Best known for the genre-defining worldwide sensation PUBG: Battlegrounds, our stellar studios based across the globe include PUBG Studios, Striking Distance Studios, Unknown Worlds, Bluehole Studio, RisingWings and more. In collaboration with our passionate and driven team, we strive to establish ourselves as a renowned creator of masterpieces in the global gaming market. THE OPPORTUNITY We develop, apply, and operate game security solutions and security operations systems to create a trusted gameplay environment for KRAFTON games. Centered around KRAFTON Security Services (KSS), we provide core capabilities and services required for game security, including Anti-Cheat, Anti-Tamper, security operations, data analysis, and ML-based detection. DUTIES Enhance the data analytics and ML-based detection capabilities provided by KSS, and develop models that can quickly and accurately detect and classify abnormal behavior and cheating in games. You will analyze large-scale game logs and user behavior data, improve the performance of detection models, and support the effective use of detection results in security operations and enforcement response. RESPONSIBILITIES - Develop and improve ML models to detect abnormal user behavior and cheating in games - Detect anomalies by analyzing large-scale game logs, user behavior data, and security events - Analyze cheating patterns, identify detection features, and design and enhance detection logic - Support data analysis for security operations and enforcement response - Design and visualize metrics to improve KSS detection and operational efficiency - Collaborate with game studios, security engineers, and other stakeholders - Evaluate detection model performance, analyze false positives and false negatives, and improve model quality QUALIFICATIONS - Degree in a related field such as Machine Learning, Deep Learning, Statistics, or Computer Science, or equivalent practical experience - Experience with ML-based modeling projects such as anomaly detection, classification, prediction, or pattern analysis - Ability to analyze large-scale log and event data using Python, SQL, or similar tools - Understanding of the end-to-end data workflow, including log data cleansing, feature engineering, training data construction, and model evaluation - Experience understanding the structure of machine learning/deep learning models and improving models according to their objectives - Ability to perform feature engineering with consideration for data quality, reproducibility, and scalability - Ability to quantitatively evaluate model performance and identify improvement directions from the perspective of false positives and false negatives - Ability to define problems independently and drive improvements based on data PREFERRED QUALIFICATIONS - Experience using game data for Anti-Cheat, cheating/abuse detection, or abnormal behavior analysis - Gameplay experience in various game genres such as FPS/TPS, battle royale, or MMORPG, or understanding of the data characteristics of these genres - Experience detecting abnormal patterns based on user behavior data and improving models or detection logic - Experience processing large-scale log data and building or operating ML pipelines - Experience using, or understanding of, large-scale data platforms such as Spark and Hadoop - Experience collaborating with global organizations/studios, or communication skills in Korean or a second language Reasonable Accommodation KRAFTON Americas is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the HR Talent team at KRAFTON Americas, to begin the interactive process. EEOC statement KRAFTON Americas provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. In California, the expected salary range for this position is $154,000-$211,000. The listed expected salary range represents a good faith estimate and the actual pay may depend on a variety of job-related factors that can include experience, education, skills, and location. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At Krafton we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles. Due to recent scams, our recruiters will only reach out to you via @sds.com, @krafton.com or @pubg.com. If you received an email and are unsure you can always email recruiting_ka@krafton.com.
Senior Data Scientist
Rovio is part of the SEGA family and world famous for our flagship IP Angry Birds - want to know more about Rovio as an employer? Click here . You’ll join our Data Science and Analytics team in Espoo, working on the Beacon platform, and you’ll report to our Data Science Team Manager. We’re looking for someone who loves turning complex data into clear, actionable stories. You’ll help us refine how we approach User Acquisition, crafting solutions that help us grow and keep our players happy. You will have impact and fun at work by: - Developing predictive and statistical models that support large-scale User Acquisition decisions. - Tackling challenging problems involving long-term forecasting, uncertainty quantification, optimization, and rare-event behaviour. - Exploring and evaluating new modelling approaches and translating research ideas into production systems. - Collaborating closely with stakeholders across Rovio — including UA managers, game teams, finance, analysts, engineers, and fellow data scientists — to solve high-impact business problems. - Taking ownership of models throughout their lifecycle, from problem formulation and experimentation to deployment and monitoring. - Contributing to a highly collaborative modelling culture where problems are scoped together, ideas are workshopped openly, and solutions are developed through pair coding, code reviews, and close day-to-day collaboration with the team. Experience and skills we are looking for: - You have extensive years of experience in data science. - You hold an academic degree in applied mathematics, statistics, machine learning, computer science, or a related field. - You’re proficient in Python, including numerical and data science libraries, and you’ve designed data pipelines in cloud-based environments. - You have a strong understanding of at least two of the following areas: Bayesian modeling, Statistical inference, Predictive modelling and machine learning, Optimization and decision theory, Uncertainty quantification, Numerical methods. - You can communicate complex technical concepts to both technical and non-technical teammates, making sure everyone is on the same page. - Enjoyment of collaborative problem-solving and working closely with other experts. It would be nice if you also have the following skills: - Experience in mobile gaming, User Acquisition, or digital advertising. - Experience with experimentation, causal inference, or reinforcement learning. - Experience building large-scale production ML systems. You'll work in a hybrid setup with two to three days at the office per week. Kindly send us your CV in English. We look forward to speaking to you! We welcome applicants to use the name they want to be addressed by in the application form, regardless of whether it is their legal name. At Rovio, we are also committed to providing reasonable accommodations for qualified individuals with disabilities or conditions in our working environment and job application procedures. We are committed to continuously improving workplace accessibility. If you have any questions before applying, please write to us at recruitment@rovio.com . What to expect when you join us Candidate Hub Meet the Rovians Diversity, Equity and Inclusion at Rovio
Sr. Audio DSP Machine Learning Engineer
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The Role : As an Audio ML Engineer on the Logitech Hardware Audio ML and DSP Product team, you will be instrumental in developing Embedded Audio ML models that create innovative audio experiences for our customers [ e.g. Speech/Audio enhancement] . This role offers a significant opportunity to contribute directly to the audio products we develop. Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will: - Train and develop highly optimized Audio ML models for efficient deployment on resource-constrained embedded platforms (e.g., ARM, Tensilica DSP, RISC-V, NPUs). - Utilize techniques like quantization [PTQ and QAT], and pruning to ensure effective on-device inference. - Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges. - Work with cross-functional product team to deliver seamless customer audio experience. - Key Qualifications: For consideration, you must bring the following minimum skills and experiences to our team: - 7+ years of experience working in audio signal processing product teams working hands-on with Audio ML training. - Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference. - Strong programming skills in c, python. - Experience with Production ready Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / acoustic echo cancellation/ beamforming Additional Skills: - Audio Quality Assessment: Proven experience in designing and executing both subjective and objective audio quality evaluation protocols, including familiarity with industry-standard audio measurement metrics. - Audio Artifact Resolution: Demonstrated track record of effectively identifying and resolving audio artifacts within ML audio chains. - Technical Leadership & Communication: Excellent communication, documentation, and leadership abilities, particularly in cross-functional technical environments. - Initiative & Execution: Highly driven individual with a demonstrated ability to deliver results and lead technically, both independently and as a contributing team member. Education: - Bachelor’s or Master’s degree in EE, CS with practical experience. #LI-MR2 Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
Machine Learning Training Infrastructure Engineer
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The Role: We are seeking an ML Training Infrastructure Engineer to elevate the engineering practices across our Machine Learning and EdgeAI teams and improve their velocity. In this role, you will act as a shared champion of DevOps / MLOps excellence. Your mission is to drive excellent model training by designing the reusable scaffolding (templates, CI/CD pipelines, and data management workflows) that allows our ML engineers to work faster, smarter, and with absolute consistency. A key focus of this role is optimizing training pipelines to fully leverage our High Performance Computing (HPC) infrastructure, ensuring scalability and performance. You are the interface with our Digital Office (who manage core AWS/HPC resources and MLOps infrastructure) and the applied ML teams, ensuring knowledge transfer and engineering best practices are seamlessly integrated. Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will look after: - Infrastructure rollout & onboarding: Lead infrastructure migration and adoption by guiding ML engineers to new shared compute environments, optimizing developer workflows to reduce friction, and providing comprehensive documentation and hands-on training to ensure team upskilling. - Enablement & Knowledge Transfer: Act as the internal consultant and coach for ML teams for High Performance Computing (HPC) optimization. Run workshops, pair-program on pipeline bottlenecks, and document modern MLOps standards to upskill the engineering org and facilitate knowledge sharing. - Standardization & Templating: Design and maintain "cookie-cutter" project templates. Ensure any ML engineer can spin up a new repository that is automatically compliant, structured, and integrated with data/artifact versioning. - CI/CD & Continuous Training (CT): Build and maintain robust automation pipelines. Design the triggers and workflows that automate data validation, model retraining, and evaluation when new data arrives or performance baselines change. - Compute & Code Optimization: Partner with ML engineers to profile and optimize training pipelines and local/edge inference code in pair work, ensuring high efficiency on local host computers and specialized compute resources. - Digital Office Liaison: Act as the primary technical point of contact to translate the Digital Office’s AWS policies, high-efficiency compute setups, and infrastructure realities into practical, developer-friendly workflows for the ML teams. You are the product owner of the MLOps toolchain making sure the requirements of the ML team are implemented as tools by the Digital Office. - AI Governance & Data Stewardship: Establish and enforce frameworks for ethical AI, model transparency (via model cards), and data privacy compliance. Act as the steward of our data ecosystem by aligning processes for data inventory, lifecycle management, and accessibility, ensuring that high-quality, compliant data is readily available for training and inference across all projects. Key Qualifications: For consideration, you must bring the following minimum skills and experiences to our team: - Education: PhD or MSc in Computer Science, Computer Engineering, or a closely related field. - Experience: 5+ years of experience in MLOps, DevOps, or Software Engineering with a heavy focus on developer tooling, automation, platform enablement and pipeline optimization. Hands-on experience designing, building, or maintaining large-scale ML training infrastructure. You have trained ML models on HPC platforms as part of your prior experience and have been acquainted with the different elements of the stack, from data management to driver management. - The "Leadership" Mindset: Proven track record of mentoring teams, establishing best practices, and creating clean documentation that engineers actually enjoy using. - Data & Workflow Tooling: Strong, practical experience with data versioning, experiment tracking tools, and modern CI/CD platforms (e.g., GitLab CI, GitHub Actions). - Software & Packaging Mastery: Deep proficiency in Python and PyTorch, with experience running training workloads on GPUs/TPUs. Strong understanding of containerization (Docker) and packaging models for distribution to edge devices or host computers. Strong software engineering practices: code quality, design reviews, testing, observability, CI/CD. - Familiarity with Infrastructure: Solid understanding of cloud concepts (AWS) to effectively collaborate with the Digital Office, even though cloud deployment is out of scope. - Systems & Performance Optimization: Strong understanding of profiling, operating systems (OS), caching mechanisms, and hardware (HW) architecture. Solid understanding of distributed systems concepts (parallelism strategies, fault tolerance, synchronization). LI-RD1 Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
AI Agent 应用工程师（语音与新型人机交互方向）
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. 我们正在寻找一位具有架构师视野的创客（Super Builder），成为连接大模型智能与实体硬件交互的枢纽，主导构建具备自主决策能力的 AI Agent 系统，推动下一代人机交互（HCI）的落地。 岗位职责 - 业务需求转化为交互能力： 深入洞察用户在桌面端与硬件端的交互痛点，将模糊的使用场景与用户意图，抽象为可执行的 Agent 决策逻辑与工具调用链路，确保技术方案能有效解决实际交互难题。 - 下一代交互原型开发： 构建“硬件端 -> 实时语音 -> 系统自动化”的全新人机交互原型，推动用户体验从物理操作向自然语言交互平滑过渡。 - 工业级任务编排（Orchestration）： 针对复杂、多步骤的系统级及硬件控制任务，设计高鲁棒性的有状态多智能体协同系统（Stateful Multi-Agent System），解决长链路任务中的分支、重试与无限循环死锁问题。 - 闭环长期记忆系统搭建： 负责设计与落地 Agent 长期记忆架构，攻克“记忆漂移”与上下文污染难点，实现情节记忆与程序记忆的动态融合与智能衰减。 - 统一软硬件上下文协议： 利用 Model Context Protocol (MCP) 及 Agent Skills 等最新标准与框架，打通硬件状态、本地应用上下文与云端大模型之间的无缝连接。 - 安全控制与确认门禁： 在任务编排中设计严格的确定性安全边界，确保涉及隐私及关键系统操作时的回滚机制与用户人工确认机制（Human-in-the-Loop）。 任职要求 核心能力要求（Core Qualifications） - 扎实的软件工程基础： 5 年以上软件开发经验，精通 Python，并对 C/C++、Go 或 Rust 有实际工程经验（用于处理底层硬件通信与高性能音频流）。 - 高阶 Agent 系统构建： 具备 1 年以上生产环境 Agent 系统设计经验，深刻理解并解决过 Agent 在复杂任务编排中的状态丢失、非确定性行为控制问题。 - 深入理解 Agent 核心推理范式： 掌握 ReAct、Plan-and-Solve、Reflection 等主流推理架构，具备针对复杂任务场景设计多轮推理与自我修正链路的实战经验。 - Agent Skills 与任务编排： 具备 Agent Skills 开发与优化经验，能设计高质量工具集以提升执行效率；具备使用 LangGraph、Temporal、CrewAI 等主流工具（或类似工具）的实际工程经验，能灵活设计有状态的、异步事件驱动的复杂图结构（DAG/Cyclic Graph）。 - 多模态与语音工程： 熟悉实时音频流处理（WebSockets/WebRTC）、端到端语音模型、STT/TTS 技术的工程化缝合，有处理高并发、低延迟音频交互经验。 - 记忆与上下文工程： 熟悉现代 Agent 长期记忆架构（情节与程序记忆的动态融合）及记忆工程，能熟练运用向量/图数据库进行数据持久化；熟练掌握 MCP 协议及上下文工程（如 Token 压缩）。 - 系统级交互与认知： 具备深厚的系统级交互认知，熟悉操作系统底层接口（Windows/macOS API、RPA逻辑）及硬件通信协议，能够打通硬件、本地应用与云端大模型。 3. 软实力与极客精神 - 敏捷迭代与安全边界： 具备极强的原型开发与敏捷迭代能力，同时对系统安全边界保持敬畏；在追求创新效率的同时，确保关键系统交互的鲁棒性与稳定性。 - 卓越的跨界协作： 能够将前沿的 AI 算法需求高效转化为硬件工程师可理解的工程指标，在 AI 与硬件系统之间建立通畅的沟通桥梁。 - 工程闭环与责任意识： 具备极强的交付责任心，能够通过系统化的测试、监控与验证手段，确保 Agent 在真实物理交互场景下的表现可度量、可复盘，对交付效果负责。 - 主动探索与自驱力： 面对前沿领域模糊的课题，能够通过主动钻研技术前沿并快速构建验证方案（PoC），表现出极高的技术好奇心与解决复杂问题的韧性。 加分项 - 拥有软硬件结合项目（如物联网、机器人、智能穿戴或 DIY 智能硬件）的成功交付经验。 - 在 GitHub 上有高 Star 且涉及多智能体协同、自动化控制或 MCP Server 相关开源项目。 - 参加过知名黑客马拉松（Hackathon）并获奖或有完整作品交付。 - #LI-LZ1/51SZ/LP Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
Senior Audio AI Research Engineer
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The Team and The Role: Do you want to shape the future of video collaboration and redefine what it means to communicate, connect, and create? Logitech is at the forefront of Audio AI innovation, combining creative design, innovative science, and cutting-edge technology to deliver exceptional communication experiences. Imagine your work being at the heart of conference rooms across the globe, used by thousands every day, including over 350 companies in the Fortune 500. We’re on a mission: to make virtual communication so seamless and powerful that it’s better than being there in person. As part of our growing Real-time Audio AI Team, you’ll play a pivotal role in shaping Logitech’s leadership in AI for best-in-class, real-time audio experiences. By leveraging state-of-the-art multi-modal AI technologies, your impact will resonate on a global scale. Why Join Us? At Logitech, we combine the agility of a small team with the power of a global organization. We’re passionate about what we do, we use the products we build, and we prioritize innovation and connection. This is an opportunity to join an ambitious and collaborative team that thrives on solving complex challenges and having fun doing it. This role is part of a new initiative to grow an Audio AI lab in London. You will be supported by both a Senior Technical Manager, and Principal Engineer in Audio AI, and collaborate with PhD-level interns working on parallel research tracks. Your Contribution: As a Senior Audio AI Research Engineer, you will help explore and mature Audio AI solutions, combining technologies, enhancing their robustness, and solving complex problems prior to their productization. We’re looking for someone inventive, who can prototype and trial novel algorithms, combining prior internal research, open-source contributions, and their own ideas to create novel user experiences. This role offers the chance to collaborate with some of the best research institutions for AI and Audio worldwide, such as EPFL, Hamburg, and Berkeley Universities. Here’s how you’ll make an impact: - Explore innovative ways to leverage the company’s distinctive strengths in video conferencing. This includes optimizing the use of distributed microphone arrays and cameras, each precisely mapped with location and orientation data. Utilise participant identification and positioning, as well as multiple video and audio streams within a given space. - Address complex challenges before deploying new Audio AI technologies. This involves optimizing integration with other components in the Audio AI pipeline, identifying the most effective task combinations, and developing strategies to minimize bias while enhancing robustness against noise, reverberation, and echo. - Conduct in-depth research to address emerging challenges in Audio AI, including the development of multi-modal solutions that integrate audio, video, and other sensor data. - Develop advanced audio streaming solutions for low-latency, real-time causal AI systems. Focus on evolving technologies from earlier research stages to deployment-ready maturity, collaborating with other teams responsible for quantization, deployment, and C++ optimization. - Demonstrate the ability to rapidly prototype Audio AI technologies by implementing research papers and extending them—such as modifying data augmentation strategies, adjusting FFT parameters, incorporating auxiliary tasks, and optimizing loss functions. - Experience with data-driven algorithm tuning using metadata evaluations and advanced acoustic simulations is highly desirable. Your Contribution: We welcome a broad range of expertise, and while our requirements aim to inspire interest, we encourage candidates who may not meet every listed qualification to apply. Logitech focuses on growth and collaboration. Hard Skills - Comprehensive knowledge of latest AI advancements, such as diffusion, flow matching, transformers, and GANs. - 4+ years of experience in machine learning frameworks (TensorFlow / PyTorch) with a proven history of building ML pipelines in the audio domain. - Proficiency in Python, including package development and collaborative coding practices (e.g., open-source contributions). - Expertise in performance analysis and optimization of ML systems. - Hands-on deployment experience with systems like TensorFlow Lite, ONNX, TVM, and Glow. - Strong familiarity with cloud compute environments, ideally AWS, and data ingestion (e.g., TF Data pipelines). - Knowledge of source control and project tracking systems (e.g., GitHub, Jira). Preferred Experience - Track record of research publications in conferences such as ICASSP and Interspeech - Knowledge of Audio Engineering and Acoustics - Sound understanding of embedded systems and constraints. Soft Skills - Passionate about team collaboration, valuing collective success over individual output. - Research collaboration across academia and industry. - Excellent attention to detail, alongside pragmatic problem-solving. - Self-starter with the ability to conduct independent research and refine priorities efficiently. - Open to feedback, with a hunger to grow professionally and personally. - Strong communication and time-management skills to deliver impact in a fast-paced environment. Qualifications PhD or equivalent experience in Computer Science, Audio / Acoustics, Electrical Engineering, Physics, or related fields. - BSc, MSc, or Ph.D. LI-RD1 Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
IT GRC Risk and Automation Analyst
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The IT GRC Risk and Automation Analyst is responsible for the , implementation, automation, and user support for the enterprise GRC platform, integrated risk management tools, and automated reporting functions for the IT and Security organizations. We are seeking a forward-thinking specialist who actively uses Artificial Intelligence and machine learning to modernize GRC workflows. Proven experience in designing, implementing, or managing AI-driven automation for continuous control monitoring, risk assessments, and compliance reporting is strictly required This role builds, deploys, and automates common governance, risk, and compliance processes. You will ensure that our technologies, automated workflows, and business operations. Your Contribution - Platform & Integration Architecture: Design, implement, configure, and maintain the enterprise GRC tool, ensuring seamless API integrations - Workflow Automation: Develop, optimize, and maintain automated data workflows, evidence-collection pipelines, and system integrations to shift the organization toward continuous compliance. - Conduct comprehensive third-party security assessments to evaluate vendor security posture, compliance frameworks, and risk exposure across the supply chain Your Qualifications and Skills Experience & Core Competencies - 3–5 years of experience in GRC, security, IT risk management, or security operations with a strong focus on automation. - Proven experience in automated controls assessment , continuous monitoring, and security risk management. - The ability to bridge the gap between technical teams and business stakeholders, translating complex algorithmic or infrastructure risks into clear business impacts. Frameworks & Regulatory Knowledge - Deep understanding of security and privacy frameworks: NIST CSF 2.0, ISO/IEC 27001:2022, SOC 2, and GDPR . - Working knowledge of modern AI governance and risk frameworks: NIST AI RMF, ISO/IEC 42001 (Artificial Intelligence Management System), and the EU AI Act . Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
AI Governance Specialist
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Logitech is hiring an AI Governance Specialist to help us develop our global AI Governance program and run AI Governance operations. This is an exciting global role on our legal team which covers all of Logitech’s functional teams and business groups such as Gaming, Hardware, Software, and Logitech for Business. This person will play a key role in delivering operational aspects of Logitech’s AI governance program, including ensuring both our internal use of AI and use of AI in our products remain in compliance with our policies, standards and procedures. This role reports to the AI Governance Manager. Location: Cork Hybrid - 2 days a week on site in Cork Your contribution: - Provide pragmatic advice on the implementation of Logitech’s AI policies, Standards and Procedures to product and business teams and to colleagues in the legal team. - Collaborate with the AI Governance Team on the creation and updating of key Standards and Procedures for AI Governance. - Ensure all AI initiatives are documented in compliance with company policy and conduct risk assessments for AI initiatives, including monitoring completion of agreed AI risk treatment plans. - Analyze metrics relating to the AI Inventory and status of assessments, and provide reports to the wider AI Governance team, to ensure timely compliance with defined SLA. - Assist in the organization of the internal AI Governance documentation, including highlighting when documents require periodic review. - Collaborate effectively with business , privacy and legal teams to ensure transparency requirements are met. - Ensure AI projects delivered by product and business teams are in compliance with Logitech’s Responsible AI Principles. - Work with the business to ensure tasks required to document and maintain our AI Inventory are completed in a timely manner. - Coordinate with our privacy operations team and wider Legal team to ensure AI initiatives meet global privacy, data protection and legal requirements. - Partner with technical and non-technical colleagues to identify AI Governance best practices, and translate them into clear, actionable steps. - Collaborate with legal and business teams spread across time zones – in multiple locations in Asia, Americas and Europe. - Contribute to ongoing efforts to provide education, resources and training on AI and AI governance and the AI Champion networks across the company. Key Qualifications: For consideration, you must bring the following minimum qualifications, skills and behaviors to our team: - Bachelor’s degree in a relevant discipline (Technology, Business, Law etc.). - Ideal candidates will possess a strong technical aptitude and can communicate effectively in a legal and technical environment to make sure compliance standards are met. - Excellent understanding of the European AI Act and AI Governance best practices. - 2 years of experience working in a legal role, privacy, compliance, or similar environment. Preferable skills include: - Experience in legal or compliance of emerging technologies such as machine learning and AI. Privacy, Copyright or Intellectual Property knowledge and experience is a bonus. - Excellent time management skills with the ability to meet strict deadlines. - Be a self-starter who works well with minimal supervision, but shows excellent judgment about when to look to managers and teammates for guidance, and when and how to communicate with diverse stakeholders. - Demonstrated ability to learn quickly, lead & manage projects and drive/achieve results, while working autonomously. - Excellent communication skills and attention to detail. Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
Junior AI Project Manager / Associate Tech PM (Fre...
Animoca Brands Corporation Limited (ACN: 122 921 813) is a Web3 leader that leverages tokenization and blockchain to deliver digital property rights to consumers, helping to establish the open metaverse and its associated network effects. Animoca Brands realizes its mission via three integrated business pillars: operating Web3 businesses to advance blockchain adoption with native projects such as Moca Network , Anichess , The Sandbox , Open Campus , NEOM Web3 initiatives, and a regulated stablecoin project in partnership with Standard Chartered and HKT; providing digital asset advisory services including tokenomics advisory, liquidity provisioning, and institutional research to help external Web3 projects grow; and investment management , with a portfolio of investments in over 540 companies including industry leaders Pudgy Penguins, Yuga Labs, Axie Infinity, Polygon, Consensys, Magic Eden, OpenSea, Dapper Labs, YGG, and many others. Job Summary: We are seeking an AI Project Manager to lead the planning, execution, and delivery of innovative Artificial Intelligence and Machine Learning initiatives. In this role, you will act as the critical bridge between our business stakeholders, data scientists, and engineering teams. You will be responsible for navigating the unique complexities of AI projects—from data collection and model training to deployment and performance monitoring — ensuring solutions are delivered on time, within scope, and drive real business value Requirements: - Lead the full lifecycle of AI project, including requirement gathering, feasibility assessment, data strategy, model development, testing, and production deployment. - Serve as the primary liaison between business teams and technical teams, translating complex business requirements into clear technical specifications and user stories. - Oversee specific AI phases such as data labeling, model training iterations, validation, and managing expectations around model accuracy and performance. - Identify potential project risks early and implement mitigation strategies. - Provide regular updates to leadership, clearly communicating technical bottlenecks, model metrics, and project progress in business-friendly terms. Responsibilities: - Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related field. Fresh graduates are also welcome to apply. - Previous internship experience in project management, tech operations, data analysis, or product management is a strong plus. - Proven track record of successfully delivering data science, machine learning, or AI projects to production. - Strong conceptual understanding of Artificial Intelligence, Machine Learning, Natural Language Processing and Generative AI. - Understanding of data pipelines, data architecture, and the importance of data quality in model training. - Excellent analytical and problem-solving skills, with the ability to manage the inherent uncertainties and experimental nature of AI projects. The Perks of Joining Animoca Brands: A Vibrant and Diverse Workplace: Immerse yourself in a dynamic, multi-cultural environment with colleagues from over 15 nationalities (and growing!). We celebrate diversity and foster a global perspective. Incentives in the Web3 Space: Be a part of the future and align your success with the growth of our innovative projects. Direct Impact and Flat Structure: Your voice matters. We operate with a flat organizational structure, ensuring your ideas are heard and implemented quickly. Comfortable and Creative Atmosphere: Embrace a relaxed and productive work environment with casual attire. Opportunities Across the Ecosystem: Expand your horizons by collaborating with various subsidiary brands within the Animoca Brands network, gaining exposure to a wide range of projects and technologies. Comprehensive Benefits Package: We care about your well-being. Enjoy a comprehensive benefits package, including medical, life, and transportation allowances. Personal Information Collection Statement: Personal data provided by the Job Applicant will be used strictly in accordance with the Employer's Personal Data Policies, a copy of which will be provided immediately upon his/her request. All classified data will be treated confidentially within the Human Resources & Administration Department. Personal data of unsuccessful applicants may be retained for a period of up to 3 months.
Senior Data Scientist (all genders)
We are seeking a highly skilled and experienced Senior Data Scientist to join our team. In this high-impact role, you will be the expert driving our success by creating and optimizing critical areas like User Acquisition models, LTV predictions, and Ad Monetization strategies. You will shape our product roadmap through in-depth Product Analytics and ensure data-driven growth by leading A/B testing initiatives with scientific rigor. If you thrive in a fast-growing and dynamic company and want to have real impact, we’d love to hear from you! Job Requirements - 6+ years of professional experience in data science, focusing on machine learning, statistical analysis, and deep learning. Ideally paired with experience in the mobile gaming industry - Proven expertise in user acquisition modeling, product analytics, and A/B testing methodologies and tools - Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) - Familiarity with SQL for database querying and data manipulation - Strong knowledge of statistical methods and their application in business - Experience with cloud platforms (AWS, GCP) is a plus - Strong project management skills, with a track record of leading data science projects - Excellent communication skills and the ability to translate data into insights - Strong problem-solving skills and the ability to work collaboratively in a cross-functional team environment - You communicate fluently in English, both written and spoken. Nice-to haves: - Experience with mobile gaming analytics - Hands-on experience with Looker for data visualization and reporting - Familiarity with ad tech tools and platforms (e.g., Google Ads, Facebook Audience Network, Firebase) - Knowledge of reinforcement learning and its applications in gaming or ad optimization Job Requirements - Predictive User Modeling: You will build and optimize machine learning models to understand and predict user behavior across the full lifecycle - acquisition, engagement, churn, and LTV. Partner with marketing, product, and growth teams to turn those predictions into measurable business impact. - Product Analytics: You will be responsible for conducting in-depth product analysis to identify key metrics and areas for improvement, using data insights to guide product development and enhance user experience. Additionally, you will collaborate with product managers to steer data-driven features and improvements - A/B Testing: You will collaborate closely with the product team to design, implement, and analyze A/B and multivariate tests to optimize product features and marketing strategies. During those initiatives, you will be responsible for ensuring scientific rigor and proper statistical methods. Finally, you will support interpreting the results and providing actionable insights to stakeholders - Machine Learning & Statistical Analysis: You will develop and deploy machine learning models for predictive analytics, user segmentation, and personalization, while applying deep learning techniques for complex data analysis tasks (image recognition, natural language processing, etc.) to drive user acquisition and monetization of our JustPlay app - Project Management: Lead data science projects from concept to delivery, coordinating with cross-functional teams (including Engineering, Product, and marketing) and managing timelines, deliverables, and stakeholder communication Job Benefits - Work-Life Balance and Flexibility : Flexible working hours and options for digital nomads, occasional office visitors, or regular office-goers - Mental Health Support : Free personal coaching through our partner nilo.health to support our team members to live fulfilled lives at home and at work - Training & Development : A competitive personal development budget of up to 2000€/year for training, conferences, workshops, etc. - Germany-Based Benefits : 25 vacation days, free Wellhub gold subscription, free monthly Deutschland-Ticket, and a monthly €50 tax-free internet contribution - State-of-the-Art Equipment : Doesn’t matter if you are a MacBook or Windows user; we will provide you with the technical gear you need to succeed - A Relocation Package : Includes visa support for those who need it - Berlin Office Perks : Ergonomic setup, free daily lunch, and a dog-friendly environment. - Engaging and Diverse Work Environment: Join a diverse team, with over 30 nationalities working from over 25 different locations * Benefits may vary depending on location and contract type. Do not hesitate to ask us about more details on our benefits offer.
Data Scientist
About Spyke Games We are a leading mobile gaming company founded by gaming veterans who have built and scaled massive gaming businesses for the past decade. We want to build the next generation of mobile game franchises to be played by millions of people around the globe for years. We are bringing together the smartest, the most talented and ‘fun to work with’ group of people united around this single mission. Fostered with team spirit and collaboration, we strive to create a passionate, energetic and eager to learn “geek” culture focused on games. We’re looking for an experienced Data Scientist to help build, grow and optimize our mobile games. At Spyke, you will be working in a fast-paced, hyper-growth environment with some of the smartest minds in the industry. This scale and pace comes along with very interesting business challenges which we will solve together, using a technology-agnostic and data-informed decision making approach. Job Responsibilities - Build and implement ML & Optimization algorithms that will be used for Product & Marketing - Build and maintain ETL automation to structure data - Run exploratory analysis and find scalable ways to improve engagement and monetization - Design and run experiments, run them together with relevant teams, and communicate learnings - Create and maintain reports and dashboards. - Promote data-culture across the organization Job Requirements - Full-stack data scientist - Degree in Mathematics, Physics, Statistics, Computer Science or Engineering - Experience in predictive modeling, time series analysis, machine learning, big data methodologies, deep learning, and reinforcement learning - Proficiency in Python & SQL and strong coding skills - Experience in data engineering and familiarity with AWS or Google Cloud Platform - Experience in data visualization - Familiarity with tools such as Airflow, Tableau, BigQuery, Firebase We respect your privacy and will treat your data confidential as part of the recruitment process. If you’d like more details, please read our Statement of Personal Data Protection Law (KVKK)
Senior Data Scientist
Join the VRChat Team! VRChat offers a first-of-its-kind, game-changing platform that provides an endless collection of social VR experiences and gives the power of creation to its robust community. With over 250,000 worlds and growing, VRChat’s vision is to allow users to bring their imaginations to life and help shape the metaverse anywhere in the world on any device. VRChat has raised around $100M to date with the support of our investors, which include: Makers Fund, Anthos Capital and HTC. We have a great team which includes people from: Netflix, Twitter, Meta, Microsoft, Roblox, Google, Amazon, Unity, Spotify, Discord, Uber, eBay, Robinhood, Twitch, Zynga and TikTok. Come and join the mission! Job Overview As a Senior Data Scientist on VRChat’s Data Team, you will play a key role in driving strategic product decisions and advancing our product roadmap across growth, user experience, creator, and economy verticals. The ideal candidate will have a background in a technical field, will have experience working with large production data sets, and will have some experience delivering data products on a fast-paced team. This position will be full-time and remote. What You’ll Do - Partner with cross-functional teams to define high-impact product questions, success metrics, and decision frameworks. - Analyze user behavior, creator activity, content ecosystems, retention, growth, monetization, and social dynamics to identify opportunities and risks. - Design and analyze experiments, including A/B tests and other causal measurement approaches, to evaluate product launches, campaigns, and strategic initiatives. - Define and improve core product metrics, dashboards, diagnostic views, and recurring reporting that help teams understand what is changing and why. - Build durable analytical assets such as reusable notebooks, data marts, metric definitions, self-serve dashboards, and analysis templates. - Use AI-assisted and agentic workflows to accelerate analysis, automate repetitive investigation, improve documentation, and build lightweight internal tools for common analytical questions. - Collaborate with Data Engineering and product teams to improve data quality, instrumentation, modeling, and source-of-truth definitions. - Communicate findings clearly to technical and non-technical audiences, including senior stakeholders, and influence product decisions through evidence and judgment. What We’re Looking For - 5+ years of experience in data science, product analytics, data analytics, quantitative analysis, or a related analytical role. - Expert SQL skills and strong proficiency with Python or R for analysis, experimentation, modeling, automation, and reproducible workflows. - Strong product sense, with experience translating ambiguous product or business problems into structured analyses, metrics, experiments, and recommendations. - Experience designing, analyzing, and interpreting experiments, including A/B tests, guardrail metrics, and common statistical pitfalls. - Experience building dashboards, reporting systems, reusable analyses, or data products that help stakeholders self-serve and make better decisions. - Familiarity with AI-assisted analytical workflows, such as using LLMs or agents for code generation, exploratory analysis, documentation, QA, summarization, or workflow automation. - Strong judgment around data quality, statistical validity, reproducibility, privacy, and the limitations of AI-generated analysis. - Excellent communication and stakeholder management skills, including the ability to explain complex findings clearly and influence senior audiences. - Bachelor’s or Master’s degree in a technical, quantitative, or data-related field, or equivalent practical experience. Bonus Points - Experience at a social, gaming, creator economy, marketplace, consumer subscription, or UGC platform company. - Experience with social graphs, creator ecosystems, virtual economies, recommendations, lifecycle analytics, retention, churn, pricing, trust & safety, or community health metrics. - Experience building AI-powered internal tools, analytical agents, natural-language data interfaces, automated reporting, or self-service insight systems. - Experience with tools such as dbt, Snowflake, BigQuery, Tableau, Amplitude, Hex, Mode, Jupyter, Streamlit, Airflow, Dagster, or similar platforms. - Experience mentoring other data scientists, analysts, or cross-functional partners. Benefits - Work from anywhere! VRChat is a 100% remote company - Health Benefits - 401K for US & RRSP for Canadian Employees - Stock Options - Generous paid holiday schedule - Unlimited/Flexible vacation time - Paid parental leave benefits VRChat is an equal-opportunity employer, and we welcome applicants from all backgrounds. VRChat fosters a diverse, creative, and collaborative environment where anyone can contribute to any of the ongoing projects or direction of the roadmap at any time. If you’re a passionate team player who wants to have an impact on a dynamic team, we’d love to hear from you! All job offers are subject to satisfactory referencing and background checks.
HPC/ML Infrastructure Engineer
We’re looking for an experienced HPC infrastructure engineer to lead bringup, administration, and operations on is probably the largest anime AI training cluster in the world . You’ll serve as the bridge between our researchers and the bare GPU machines, helping to make sure that SLURM jobs are running, parallel filesystems are serving, network is transmitting, and that the anime models are training. You may be a good fit if: You love anime and the anime aesthetic. This probably one of the only jobs in the world where you will get to combine your love of anime and large-scale GPU systems. You’re familiar with the modern HPC software landscape Once upon a time, our team could install SLURM on a few bare metal nodes and get away with it. Now the landscape has become unbelievable complex, with SLURM deploys through Slinky on K8s, provisioning through warewulf/MAAS/ansible, filesystems through WEKA/VAST/Ceph, VPN and access through tailscale, and monitoring via the Grafana/Prometheus stack. We’re looking for someone with relevant experience up and down the stack (and maybe a papercut or two to show for it!) As well as the traditional sysadmin landscape Bringing up and managing cluster still requires good old linux sysadmin skills, including wrangling ldap, triaging dmesg, and setting sticky bits on directories for misbehaving users and tools. You're not afraid of physical computers We’re building out edge datacenters and our CEO is still personally racking, stacking, and provisioning HGX-based nodes in our living room. Also his VLAN design sucks and he’s bad at fiber routing. Please send help. And you're comfortable working on small, fast-paced teams. We currently have a very tiny research team, and you’ll be directly helping some of the AI researchers in the world train the best anime image model in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco (dogpatch!). Bay area is strongly preferred as we have physical hardware in the Bay Area. Visa sponsorships are available.
AI Anime Researcher - LLM
tl;dr: We're building a 3D first-person adventure game where an AI companion is the core of the game. Think MiSide with LLMs, but truly integrated with gameplay, not just a RP chatbot. About Us Here at Spellbrush , we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio—we're the team behind niji・journey . Our mission is simple: use AI to bring characters to life and push the boundaries of narrative-driven games. What We’re Building We’ve developed an in-house LLM storytelling system that blends AI, story, and gameplay—going far beyond shallow “chat-only” experiences. The result is an AI companion who cooperates with you in puzzles, remembers across worlds, and changes how each chapter unfolds. In-game screenshots (development build) About The Role You will join a small but extremely talented team to define a new kind of video game experience. You'll work alongside top otaku minds in the industry, including the creator of Warudo and Cytoid , a Google Deepmind veteran behind Project Astra , and top-tier AI researchers. As an early member of this team, you will have significant artistic and research freedom to shape what could become the next-generation LLM-driven storytelling experience. Why You'll Love Working With Us Impact and Ownership: As an early team member, you'll have the opportunity to push the boundaries of what's possible at the intersection of the AI, anime, and video game industry. A World-Class Team: You'll work directly with some of the best AI researchers and engineers in the world in a small, mighty, and fast-paced team. Unparalleled Resources: You will have a generous amount of compute to build the best possible models for anime characters. Culture: We are seeking individuals who ideally are fans of anime and the anime aesthetic. We believe in the unmatched speed of in-person collaboration. International Opportunities: We have primary research offices in downtown Akihabara, Tokyo, and San Francisco. Visa sponsorships are available for qualified candidates You may be a good fit if: You have published or have industry experience with LLM post-training You have a deep understanding of LLM training and evaluation with attention to detail. Bonus if your post training work is focused on roleplay. Bonus if you have worked on latency optimization. We need to interact with the character in real time. You have worked on gathering human feedback Whether that is by designing a RLHF-style voting system, or by finding implicit signals in the human-AI interaction logs. You have worked on LLM infrastructure Training LLMs requires both research and engineering. Experiences in building data processing backend, deterministic and checkpointable data loader, sharding, memory saving techniques, scalable benchmarking and checkpoint selection, are all helpful. You love anime and the anime aesthetic As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre. You're comfortable working on small, fast-paced teams Our engineering team is small but mighty. You'll be working directly with some of the best AI researchers and engineers in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available. You can effectively balance research exploration with product-focused development Or, putting it in RL jargon, exploration and exploitation. You excel at working with research teams to synthesize high-impact needs, design and implement technical solutions, and communicate deliverables and tradeoffs.
AI Anime Researcher - Motion Generation Models
tl;dr: We're building a 3D first-person adventure game where an AI companion is the core of the game. Think MiSide with LLMs, but truly integrated with gameplay, not just a RP chatbot. About Us Here at Spellbrush , we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio—we're the team behind niji・journey . Our mission is simple: use AI to bring characters to life and push the boundaries of narrative-driven games. What We’re Building We’ve developed an in-house LLM storytelling system that blends AI, story, and gameplay—going far beyond shallow “chat-only” experiences. The result is an AI companion who cooperates with you in puzzles, remembers across worlds, and changes how each chapter unfolds. In-game screenshots (development build) About The Role You will join a small but extremely talented team to define a new kind of video game experience. You'll work alongside top otaku minds in the industry, including the creator of Warudo and Cytoid , a Google Deepmind veteran behind Project Astra , and top-tier AI researchers. As an early member of this team, you will have significant artistic and research freedom to shape what could become the next-generation LLM-driven storytelling experience. Why You'll Love Working With Us Impact and Ownership: As an early team member, you'll have the opportunity to push the boundaries of what's possible at the intersection of the AI, anime, and video game industry. A World-Class Team: You'll work directly with some of the best AI researchers and engineers in the world in a small, mighty, and fast-paced team. You also have the opportunity to collaborate with one of the best image and video generation model teams in the world on data collection. Unparalleled Resources: You will have a generous amount of compute to build the best possible models for anime characters. Culture: We are seeking individuals who ideally are fans of anime and the anime aesthetic. We believe in the unmatched speed of in-person collaboration. International Opportunities: We have primary research offices in downtown Akihabara, Tokyo, and San Francisco. Visa sponsorships are available for qualified candidates You may be a good fit if: You have hands-on experience in training text-to-motion or audio-to-motion models. You might have previously published papers around the topic, or have worked at an industrial lab on this and related topics. You have seen the Grok AI companion and can develop systems inspired by such an audio-synced motion-generation system. You have experience on facial motion generation Most anime character’s facial expressions are easier to generate than real people. Nevertheless, we have several magnitudes of more real human data. You’ll be a good fit if you have worked on speech-driven 3D facial animation. You have worked on real-time 3D motion generation We need to interact with the character in real time. Knowing how to make that happen in terms of motion generation will be a big bonus. You love anime and the anime aesthetic As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre. You're comfortable working on small, fast-paced teams Our engineering team is small but mighty. You'll be working directly with some of the best AI researchers and engineers in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available. You can effectively balance research exploration with product-focused development Or, putting it in RL jargon, exploration and exploitation. You excel at working with research teams to synthesize high-impact needs, design and implement technical solutions, and communicate deliverables and tradeoffs.
Software Engineer
Generalist Software Engineer About Us Here at Spellbrush , we're passionate about making a good anime game. We also happen to be the world's leading generative AI studio — we're the team behind niji・journey . We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: videogames. Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts. If you love turn-based tactics games, please consider applying! About The Role As Spellbrush continues to grow rapidly, we're seeking talented generalist engineers to join our team and help us build advanced data pipelines, foundational datasets, as well as the tools and infrastructure that support them. If the thought of running a batch job across ten-thousand GPUs to ingest petabytes worth of anime image and videos excites you, this is the job for you! What You'll Achieve You'll define the processes and infrastructure to transform and make data readily available across the company, whether it be embeddings, video, bounding boxes, or more. You'll partner with our world class AI researchers to understand their needs, and then design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size. Skills You'll Need To Bring You are a self-starter and can work directly with the research team to gather and synthesize high-impact needs from teammates, designing and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs. You've spent 3+ years as software engineer, with a wide generalist skillset. You’ve worked with distributed systems, and previously administered a big data toolset (Ray, Spark, Airflow, etc.). You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure, etc.), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, etc.). You’re comfortable pulling data from whatever source it may be in, whether that involves writing a complex SQL query to pull a billion rows out of a Bigquery Database, or coordinating the transfer of 10+ PB of data across two S3 regions. You are highly comfortable with scripting, whether in Typescript, Python, or even Bash when the need arises. Most importantly, you know when to pull in the complex overengineered tools, and when to instead rely on duct tape. You may be a good fit if: You have hands-on experience in designing and building highly scalable and reliable data pipelines Building data pipelines for AI presents itself with unique challenges. If you’ve previously built large scale big data pipelines, you’d be a good fit. You’re interested in learning and interfacing with AI researchers You’ll interface with some of the best AI researchers in the world, meaning that you’ll get to learn from the best. Your code will frequently need to ingest values and embeddings from our state-of-the-art models, and we’ll help you get up to speed here. You love anime and the anime aesthetic As a member of our team, you'll have the opportunity to push the boundaries of what's possible in the anime and video game industry. Ideally you're a fan of the genre. You're comfortable working on small, fast-paced teams Our engineering team is small but mighty. You'll be working directly with some of the best AI researchers and engineers in the world to integrate their state-of-the-art models into your beautiful interfaces. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara) or San Francisco. Visa sponsorships are available.
AI Anime Researcher
The Research Role: We're looking for an experienced AI Researcher to join our team and help us push the boundaries of AI and anime. You'll design and develop large-scale diffusion models with a primary focus on images, and secondary focus on other modalities like 3d, text, video and audio. You may be a good fit if: You love anime and the anime aesthetic. This one of the only labs in the world where you can combine your expertise on anime and deep learning to work on state-of-the-art anime models. You understand diffusion, or can get up to speed quickly. We're looking for experienced researchers who aren't afraid of jumping headfirst into experimenting and designing massive models. You're proficient in Pytorch (and maybe JAX too) We have a very large Pytorch codebase, and an equally large JAX codebase for large-scale TPU training. You enjoy a tight loop between research and production. We pride ourselves on getting models from the lab into production quickly. Our research team works closely with our internal studio to both develop game-ready models, and deploy regular quality updates to niji・journey . You're comfortable working on small, fast-paced teams We currently have a team of four on AI. You'll be working closely alongside some of the best AI researchers in the world, on the literal best image model in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco. Visa sponsorships are available.
AI Infrastructure Engineer
The Role: Spellbrush, the world’s leading generative AI studio behind niji・journey , is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on all platforms. What you’ll do: - Design, implement and run our next-generation inference architecture for running all our models powering all platforms and applications (mobile, web, etc.). - Work alongside a fast-paced and nimble team developing the latest state-of-the-art image generation models serving over 16 million users You might be a great fit if: - You have experience with large distributed systems You have familiarity with the latest hotness like K8S, Kafka, NATS, Redis, etc. You’ve cut your teeth on both on-prem and multi-cloud clusters. But most importantly, you deeply understand the tradeoffs and the failure mode of each system you introduce (and potentially even have the battle scars to prove it!). - You have an excellent understanding of GPU’s handling large workloads GPU workloads are different from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing them end-to-end, is a huge plus for this role - The anime aesthetic resonates with you. It's no secret – we're huge anime enthusiasts, and our work focuses on the anime aesthetic. Your work will enable millions of users to partake in an evolving creative movement. - You're comfortable working on small, fast-paced teams We currently have a small tight-knit team on AI. You'll be working closely alongside some of the best AI researchers in the world, on the literal best image model in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco. Visa sponsorships are available. The final base salary is dependent upon location, experience, fit, and other factors. In addition, we offer a generous compensation package that includes equity, top-tier employer-sponsored health, dental, and vision insurance, and additional perks! At Spellbrush, we value creativity, collaboration, and innovation. If you're excited about working with cutting-edge technology and passionate about anime, gaming, and generative AI, we’d love to hear from you! To apply - please share your previous work experience/resume, Github, or portfolio and the name of the best waifu or husbando in your message!
Staff Data Scientist I, Rewards Economy
Mistplay est l'application de fidélité n°1 pour les joueurs mobiles. Notre communauté de millions de joueurs mobiles engagés utilise Mistplay pour découvrir de nouveaux jeux et gagner des récompenses. Les joueurs sont récompensés pour le temps et l'argent qu'ils consacrent aux jeux et peuvent échanger ces récompenses contre des cartes cadeaux. Mistplay a pour mission d'être le meilleur moyen de jouer à des jeux mobiles pour tous, partout dans le monde ! Téléchargez Mistplay sur le Google Play Store ici et suivez-nous sur Instagram , Twitter et Facebook . 📍 Veuillez noter : Au Canada 🇨🇦, Mistplay suit un modèle hybride de 2 jours/semaine en bureau à Toronto (400 University Ave) & Montréal (1001 Blvd. Robert-Bourassa) Mistplay is the #1 loyalty app for mobile gamers. Our community of millions of engaged mobile gamers come to Mistplay to discover new games to play and earn rewards. Gamers are rewarded for their time and money spent within the games and can redeem those rewards for gift cards. Mistplay is on a mission to be the best way to play mobile games for everyone everywhere! Download Mistplay on the Google Play Store here and follow us on Instagram , Twitter and Facebook . 📍 Please Note: In Canada 🇨🇦, Mistplay follows a 2 days/week in-office hybrid model in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa) Mistplay est à la recherche d'un Scientifique de Données innovant pour diriger la conception et l'optimisation de notre économie de récompenses. Dans ce rôle essentiel, vous développerez et équilibrerez les systèmes de récompenses pour vous assurer qu'ils sont attrayants et ajoutent de la valeur pour nos utilisateurs, tout en maintenant la rentabilité pour Mistplay. En collaboration avec l'organisation Données et IA, vous dirigerez des initiatives en modélisation prédictive en temps réel et en optimisation au sein de nos opérations basées sur l'apprentissage automatique (machine learning). Ce que vous ferez chez Mistplay : • Vous ferez partie du groupe interfonctionnel responsable de la stratégie globale de récompenses et de l'économie de fidélité pour Mistplay. • Créer et mettre en œuvre des systèmes d'économie de récompenses et des boucles de base (core loops) basés sur l'apprentissage automatique. • Analyser et optimiser en permanence les stratégies et les implémentations de l'économie pour améliorer l'engagement et générer des résultats commerciaux. • Piloter la stratégie sur la manière dont l'apprentissage automatique et l'IA peuvent faire progresser l'optimisation pour une meilleure expérience utilisateur et une meilleure performance commerciale. Ce que vous apporterez à Mistplay : • Une combinaison de 8 ans et plus en Science des Données, Apprentissage Automatique, Finance Quantitative (Quant), Économétrie, et/ou une Maîtrise ou un Doctorat en Science des Données, Apprentissage Automatique, ou dans un domaine quantitatif connexe. • Compréhension de l'apprentissage par renforcement (reinforcement learning) (DeepQ, contextual bandits). • Expertise dans la mise en œuvre de modèles d'apprentissage automatique utilisant Python et PyTorch, associée à de solides compétences en analyse de données utilisant SQL et Python. • Approche rapide et agile pour explorer et mettre en œuvre des solutions avec un accent stratégique sur la boucle de base et la conception de l'économie. • Expérience et bagage en Finance Quantitative (Quant), Science des Données, ou domaines connexes, avec une compréhension fondamentale de la conception de l'économie et des boucles de base dans le domaine des jeux ou des contextes similaires. • Une passion pour les solutions d'IA innovantes, avec des connaissances démontrées en modélisation prédictive en temps réel. • Une expérience antérieure dans l'industrie du jeu mobile axée sur l'économie du comportement des joueurs et les stratégies d'engagement est un atout majeur (strong nice-to-have). English Job Description: Mistplay is seeking an innovative Data Scientist to lead the design and optimization of our rewards economy. In this critical role, you will develop and balance reward systems to ensure they are enticing and add value for our users while maintaining cost-effectiveness for Mistplay. Collaborating with the Data and AI organization, you will lead initiatives in real-time predictive modeling and optimization within our machine learning-driven operations. What You'll Do at Mistplay : • You’ll be part of the cross functional group responsible for the overall rewarding and the loyalty economy strategy for Mistplay. • Create and implement machine learning driven rewards economy systems and core loops. • Continuously analyze and optimize the economy strategies and implementations to enhance engagement and drive business outcomes. • Drive the strategy on how machine learning and AI can further advance the optimization for better user experience and business performance. • Distill complex model outputs into actionable strategic insights for executive stakeholders, advocating for AI-first approaches to loyalty and retention. • Design and productionize contextual bandits and RL frameworks to personalize reward distribution in real-time, ensuring the right user gets the right incentive at the right moment. • Serve as the primary architect for Mistplay’s rewards economy, balancing complex variables to ensure a "win-win" scenario: maximum value for players and sustainable unit economics for the business. • Partner with Product, Analytics, Engineering, and Finance to translate high-level business goals into algorithmic constraints and incentive structures. What You'll Bring to Mistplay : • A combination of 8+ years in Data Science, Machine Learning, Quant, Econometrics, and/or Master’s or Ph.D. in Data Science, Machine Learning, or a related quantitative field. • Understanding of reinforcement learning (DeepQ, contextual bandits) • Expertise in implementing machine learning models using Python and PyTorch, paired with strong data analysis skills using SQL and Python. • Fast and agile approach to exploring and implementing solutions with a strategic focus on the core loop and economy design. • Experience and background in Quant, Data Science, or related fields, with a foundational understanding of economy and core loop designs in gaming or similar contexts. • A passion for innovative AI solutions, with demonstrated knowledge in real-time predictive modeling. • Prior experience in the mobile gaming industry with a focus on the economics of player behavior and engagement strategies is a strong nice-to-have. *Nous remercions tous(tes) les candidat(e)s. Le genre masculin a été utilisé dans le but d'alléger le texte. Nous souscrivons au principe de l’équité en matière d’emploi. Pourquoi choisir Mistplay ? Nous faisons tout pour rendre notre environnement de travail aussi accueillant et plaisant que possible ! Un poste chez Mistplay s’accompagne de toute une série d'avantages que nous proposons en mode virtuel ou présentiel : déjeuners d'équipe, soirées jeux, événements à l'échelle de l'entreprise, et bien plus encore. Notre culture est profondément ancrée dans la croissance et soutenue par une équipe de personnes intelligentes, dynamiques et enthousiastes. Nous utilisons les données pour apprendre, améliorer et adapter en permanence. Nous favorisons un environnement dans lequel chacun est encouragé à partager ses idées, à repousser les limites, à prendre des risques calculés et à voir ses visions se concrétiser. Why Mistplay? We strive to make our work environment as inviting and fun as possible! Working at Mistplay is coupled with a whole array of perks that we've adopted virtually and in-person: Team Lunches, game nights, company-wide events, and so much more. Our culture is deeply rooted in growth and upheld by a team of smart, dynamic, and enthusiastic people. We utilize data to constantly learn, improve, and adapt. We foster an environment where everyone is encouraged to share their ideas, push boundaries, take calculated risks, and witness their visions come to life.
Principal Platform Engineer, ML
Mistplay est l'application de fidélité n°1 pour les joueurs mobiles. Notre communauté de millions de joueurs mobiles engagés utilise Mistplay pour découvrir de nouveaux jeux et gagner des récompenses. Les joueurs sont récompensés pour le temps et l'argent qu'ils consacrent aux jeux et peuvent échanger ces récompenses contre des cartes cadeaux. Mistplay a pour mission d'être le meilleur moyen de jouer à des jeux mobiles pour tous, partout dans le monde ! Téléchargez Mistplay sur le Google Play Store ici et suivez-nous sur Instagram , Twitter et Facebook . 📍 Veuillez noter : Au Canada 🇨🇦, Mistplay suit un modèle hybride de 2 jours/semaine en bureau à Toronto (400 University Ave) & Montréal (1001 Blvd. Robert-Bourassa) Mistplay is the #1 loyalty app for mobile gamers. Our community of millions of engaged mobile gamers come to Mistplay to discover new games to play and earn rewards. Gamers are rewarded for their time and money spent within the games and can redeem those rewards for gift cards. Mistplay is on a mission to be the best way to play mobile games for everyone everywhere! Download Mistplay on the Google Play Store here and follow us on Instagram , Twitter and Facebook . 📍 Please Note: In Canada 🇨🇦, Mistplay follows a 2 days/week in-office hybrid model in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa) English Description is Below ⬇️ Rattaché au vice-président de la plateforme de données et d'apprentissage automatique (Data and Machine Learning Platform), l'ingénieur Principale en plateforme ML au sein de l'équipe de données de Mistplay jouera un rôle clé dans la recherche et le développement de solutions d'apprentissage automatique pour résoudre des problèmes commerciaux complexes. L'ingénieur Principale en plateforme ML travaillera en étroite collaboration avec une équipe interfonctionnelle pour identifier les domaines à améliorer, concevoir et mettre en œuvre des solutions évolutives. L'expérience pertinente peut aller de l'infrastructure de travail et des logiciels pour prendre en charge les applications d'apprentissage automatique sur une grande variété de systèmes de recommandation en ligne, de systèmes d'apprentissage par renforcement ou d'autres applications d'apprentissage automatique en ligne. Ce que vous ferez Être le principal moteur et expert pour la conception, la construction et l'exploitation de : • Solutions d'infrastructure machine et de données pour l'entraînement des modèles. • Systèmes d'inférence en temps réel pour exploiter et servir des modèles dans un environnement de production en temps réel. • Capacités de plateforme de fonctionnalités de haute convivialité et précision pour générer, remplir rétrospectivement et stocker des fonctionnalités au niveau de l'utilisateur. • Couche de service de fonctionnalités à haute précision et faible latence, et solutions de pré-traitement pour prendre en charge le service en ligne des modèles. • Construire des abstractions de plateforme et des chemins dorés (golden paths) : modèles Airflow DAG, CLI/SDK, dépôts cookie-cutter et pipelines CI/CD qui font passer les modèles des notebooks à la production de manière prévisible. • Mettre en œuvre l'observabilité de bout en bout : vérifications de la fraîcheur des données/fonctionnalités, portes de dérive/qualité, SLO de performance/latence des modèles, tableaux de bord de santé de l'infrastructure, traçage et alertes, plus réponse aux incidents et analyses post-mortem. • Collaborer avec la sécurité, SRE et l'ingénierie des données sur les réseaux privés, la politique en tant que code, la gestion des informations personnelles identifiables (PII), la gestion des accès et des identités (IAM) du moindre privilège et les architectures rentables dans tous les environnements. • Évaluer, intégrer et rationaliser les outils de plateforme (par exemple, registre MLflow, magasins de fonctionnalités, passerelles de service); mener des migrations avec une gestion claire des changements et un temps d'arrêt minimal. Ce que vous apporterez • 10 ans et plus d'expérience dans la construction et l'exploitation de plateformes ML/de données de qualité production, en mettant l'accent sur le service, la fiabilité et l'expérience développeur. • Solides compétences en génie logiciel en Python, Go ou Java; expérience dans la création de services résilients, d'API et d'outils d'automatisation avec une couverture de tests élevée. • Expérience approfondie avec les solutions d'inférence : configuration de point de terminaison, conteneurisation, packaging de modèles, mise à l'échelle automatique (autoscaling), compromis entre sans serveur (serverless) et temps réel, MME, déploiements A/B et canary. • Expertise des paradigmes de magasin de fonctionnalités en ligne (online feature store) et des solutions de stockage sous-jacentes dans les contextes de service ML. • Expérience avérée avec Terraform pour la gestion de l'infrastructure ML et de données de bout en bout : modules, espaces de travail, détection de dérive, révisions de changements et restaurations sécurisées (safe rollbacks); familiarité avec les modèles GitOps. • Orchestration Airflow à grande échelle : modélisation de dépendances, capteurs, nouvelles tentatives, ANS (SLAs), remplissages rétrospectifs (backfills), usines de DAG et intégrations avec les registres, les magasins d'artefacts et les pipelines Terraform. • Familiarité avec les frameworks ML (scikit-learn, XGBoost, PyTorch, TensorFlow) du point de vue de l'intégration de la plateforme pour prendre en charge divers environnements d'exécution (runtimes) et conteneurs. • Observabilité pour les flux de travail ML : métriques/journaux/traces, profilage des performances, planification de la capacité, surveillance des coûts et procédures d'exécution (runbooks). • Excellente communication et collaboration interfonctionnelle avec la Science des Données, l'Ingénierie des Données, le DevOps et le Backend. English Description: Reporting to the VP of Data and Machine Learning Platform, the Principal ML Platform Engineer within Mistplay’s Data Team will play a key role in researching and developing machine learning solutions to solve complex business problems. The Principale ML Platform Engineer will work closely with a cross-functional team to identify areas for improvement and design and implement scalable solutions. Relevant experience can range from working infrastructure and software to support machine learning applications on a wide variety of online recommendation systems, reinforcement learning systems or other online machine learning applications. What you’ll do: Be the main driver and expert for designing, building, and operating: • Machine and data infrastructure solutions for training models • Real-time inference systems to operate and serve models in a real time production environment. • High usability and accuracy feature platform capabilities for generating, backfilling and storing user level features. • High accuracy low latency feature serving layer and preprocessing solutions to support online serving of the models • Build platform abstractions and golden paths: Airflow DAG templates, CLI/SDKs, cookie-cutter repos, and CI/CD pipelines that take models from notebooks to production predictably. • Implement end-to-end observability: data/feature freshness checks, drift/quality gates, model performance/latency SLOs, infra health dashboards, tracing, and alerting—plus incident response and postmortems. • Partner with Security, SRE, and Data Engineering on private networking, policy-as-code, PII handling, least-privilege IAM, and cost-efficient architectures across environments. • Evaluate, integrate, and rationalize platform tooling (e.g., MLflow registry, feature stores, serving gateways); lead migrations with clear change management and minimal downtime. What you’ll bring: • 10+ years building and operating production-grade ML/data platforms with a focus on serving, reliability, and developer experience. • Strong software engineering in Python, Go, or Java; experience building resilient services, APIs, and automation tooling with high test coverage. • Deep experience with inference solutions: endpoint configuration, containerization, model packaging, autoscaling, serverless vs. real-time trade-offs, MME, A/B and canary releases. • Expertise with online feature store paradigms and underlying storage solutions in ML serving contexts. • Proven Terraform experience managing ML and data infra end-to-end: modules, workspaces, drift detection, change reviews, and safe rollbacks; familiarity with GitOps patterns. • Airflow orchestration at scale: dependency modeling, sensors, retries, SLAs, backfills, DAG factories, and integrations with registries, artifact stores, and Terraform pipelines. • Familiarity with ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow) from a platform-integration perspective to support diverse runtimes and containers. • Observability for ML Workflows: metrics/logs/traces, performance profiling, capacity planning, cost monitoring, and runbooks. Excellent communication and cross-functional collaboration with Data Science, Data Engineering, DevOps and Backend. *Nous remercions tous(tes) les candidat(e)s. Le genre masculin a été utilisé dans le but d'alléger le texte. Nous souscrivons au principe de l’équité en matière d’emploi. Pourquoi choisir Mistplay ? Nous faisons tout pour rendre notre environnement de travail aussi accueillant et plaisant que possible ! Un poste chez Mistplay s’accompagne de toute une série d'avantages que nous proposons en mode virtuel ou présentiel : déjeuners d'équipe, soirées jeux, événements à l'échelle de l'entreprise, et bien plus encore. Notre culture est profondément ancrée dans la croissance et soutenue par une équipe de personnes intelligentes, dynamiques et enthousiastes. Nous utilisons les données pour apprendre, améliorer et adapter en permanence. Nous favorisons un environnement dans lequel chacun est encouragé à partager ses idées, à repousser les limites, à prendre des risques calculés et à voir ses visions se concrétiser. Why Mistplay? We strive to make our work environment as inviting and fun as possible! Working at Mistplay is coupled with a whole array of perks that we've adopted virtually and in-person: Team Lunches, game nights, company-wide events, and so much more. Our culture is deeply rooted in growth and upheld by a team of smart, dynamic, and enthusiastic people. We utilize data to constantly learn, improve, and adapt. We foster an environment where everyone is encouraged to share their ideas, push boundaries, take calculated risks, and witness their visions come to life.
Data Scientist
We're looking for a Data Scientist who thrives on solving complex problems and uncovering insights that drive top-performing games. In this role, you'll collaborate closely with the Marketing, Development, and Product teams to analyze player behaviour, optimize game performance, and turn data into actionable strategies. Your expertise in statistical analysis, machine learning, and data visualization will play a key role in shaping our games and enhancing player experiences. ABOUT THIS ROLE: - Bachelor’s degree in a relevant field from a recognized university. - 2+ years of experience in data science, preferably in gaming or tech. - Expertise in statistical analysis, machine learning, and data visualization. - Proficiency in Python - Strong analytical mindset with a sharp eye for detail and problem-solving. - Excellent communication skills, capable of translating complex data into actionable insights for non-technical teams. - Passion for gaming, with a deep understanding of player behaviour and game mechanics. YOU COULD BE A GREAT FIT IF: - Extract insights from large datasets to identify trends and opportunities. - Develop and implement data models and machine learning algorithms to enhance game performance and player experience. - Collaborate cross-functionally to integrate data-driven strategies into game development and decision-making. - Design and execute A/B tests to measure the impact of new features and optimizations. - Monitor and refine in-game metrics to maximize player satisfaction and retention. - Translate data into action, providing strategic recommendations to improve engagement and monetization. BONUS POINT IF: - You’ve played Tasty Match: Cook and Puzzle and explored the game. If not, now’s a great time to start! - You’re curious about the gaming industry and eager to learn more. - You enjoy working in fast-moving, dynamic environments. BENEFITS: - Be part of a top-tier team, learn from the best, and create games players love. - Competitive compensation. - Health insurance with unlimited coverage. - A beautiful, centrally located office in the heart of Istanbul. - Opportunities to attend global conferences and stay connected with the industry - Relocation support to make your move hassle-free if needed. Follow Bigger Games on Linkedin
Senior AI Designer
Reporting to Lead Gameplay Designer Job Title Senior AI Designer Department Game Design/Scripting Location Brighton Who We Are Hangar 13 is an internal 2K development studio that creates influential AAA video game experiences across all major platforms. The studio has three locations around the world: Brighton (UK), Brno & Prague (Czech Republic), working collaboratively as one team. Each of our locations provides the opportunity to work with some of the most talented developers in the industry, on creatively challenging and exciting projects, in a diverse and welcoming environment. Our focus is on making the highest quality games with sustainable, healthy development plans; to tell stories that engage players through worlds and experiences that keep them hooked from start to finish. We strive to be a studio where our team members know they can make a difference and grow professionally alongside creating games they are proud of. What We Need Hangar 13 is in search of an experienced and highly skilled AI Designer who has a passion for creating engaging AI Systems and Behaviours that provide great gameplay and help sell the fantasy of the game. You enjoy analyzing AI and Player behaviours and want to create novel gameplay experiences. What You’ll Be Doing: - Own the feature development, design, and implementation of complex AI behaviors and systems for both combat and non-combat NPCs, from prototype through shipping - Design and implement new character archetypes and their associated abilities and logic, ensuring they fit the game's vision and offer novel gameplay experiences - Drive cross-discipline collaboration within feature pods (Engineering, Animation, Gameplay) to implement, tune, and balance AI systems and player encounters - Ensure player clarity by designing behaviors that clearly communicate AI intention, enabling players to understand and plan their actions accordingly - Analyze, validate, and incorporate feedback from team members and external user testing to continuously refine the AI experience. - Develop and evangelize best practices for AI content creation and system utilization across the entire design team - Author and maintain high-quality design documentation for owned features and core AI systems. What We’re Looking For: - Passion for creating complex, balanced AI systems and linking those to desired player experiences - Keeps up to date with current industry trends, features and techniques related to the execution of engaging AIs - Experience with advanced AI systems (e.g., Behavior Trees, State Trees) in a live environment - Proven track record designing and shipping complex, engaging combat and non-combat NPC behaviors - Strong cross-disciplinary collaboration skills, with a history of driving consensus to achieve high-quality outcomes. - Experience working with Unreal Engine - Shipped one or more AAA game titles in an AI Design role or similar You Might Also Have: - A solid understanding of game design principles and how AI, tactical space, and player verbs combine to create unique moments - Creative problem-solving skills, able to consider both the details and the bigger picture - Ability to drive prioritization and scheduling of work for owned feature(s) - Can independently understand and solve technical challenges related your features Hangar 13 prides itself on the diversity of its team members, partners, and communities. For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination. As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need to request reasonable accommodation. SECURITY NOTICE - We have recently been made aware of increasing occurrences of bad actors posing as company HR personnel to gain information from "potential candidates", in the form of job interviews and offers. These scams can be quite sophisticated and appear legitimate. Please know that Hangar 13 and 2K never use instant messaging apps to contact prospective employees or to conduct interviews. If you believe you have been a victim of such a scam, you may fill out a complaint form at https://complaint.ic3.gov/ and https://reportfraud.ftc.gov/ detailing as much as possible. We are taking these matters very seriously and apologize for any inconvenience.
AI Designer
Join Creative Assembly and craft deep and detailed games that last, entertaining millions of players across the globe for decades. The Role Creative Assembly is looking for a motivated and collaborative AI Designer to join the award-winning Total War team based at our studio in Horsham, West Sussex. We’re looking for someone who embraces guiding talented multidisciplinary teams to deliver engaging gameplay within our unique blend of turn-based campaigns and real-time battles. This is an in-studio position with flexibility on ad hoc working from home. As a Game AI Designer you will design, setup and balance the game AI’s features and behaviours, as well as the difficulty level on the game’s turn-based Campaign side. You will work closely with the AI Programmers, AI Designers and Game Designers, ensuring there is collaboration between these departments, whilst following the game’s vision set out by the Game Director. What you’ll be doing On a day-to-day base, you will: - Design and implement game AI and other game features while collaborating with other departments to make sure we create the best possible gameplay experience for players - Be a proactive and creative driver of game AI development to collaboratively solve problems whilst keeping in touch with relevant stakeholders - Document your designs, demonstrate how they will create great gameplay and meaningful choices - Evaluate and finetune AI behaviour using in-house tools - Build up a holistic view of the game and balance its difficulty level What we are looking for Essential - Experience in AI Design or Game Design - Experience in game balancing - A gamer to the core who is up-to-date with modern game trends - Passionate about game AI and a keen interest in games development overall - Ability to think from the player’s perspective - Excellent communicator, with good written skills - Enjoys complex problem solving while collaborating with others Desirable - Experience in working on strategy titles - Experience in data analysis - Experience in scripting or programming - Previous experience in modding - Deep knowledge of PC turn-based strategy games ABOUT CREATIVE ASSEMBLY We care deeply about the experiences we create and put our players at the heart of our decisions. We are all game makers; no matter our role we are empowered to make significant contributions to our games, supported by skills development and growth opportunities. Most roles at Creative Assembly are hybrid; what this looks like will be discussed during the interview process. For many teams, this is 3 days a week in the studio. CA has the right to change requirements based on the needs of the business. We offer many benefits to support you and your family including: - Work from Anywhere for a temporary period each year (restrictions apply such as VISAs) - Enhanced holiday allowance, maternity and paternity breaks, flexibility with our core hours, and no-notice holidays - Bespoke relocation package for you and your dependents - Private medical and dental insurance, life insurance, permanent health insurance, critical illness cover and free health care screening - Additional benefits ranging from free games and work parties to discount on technology - Wellbeing support and virtual confidential counselling We are an equal opportunities employer and encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy or maternity, religion or belief. Our studio sites have disabled access.
Senior Gameplay Designer (Combat & AI)
Are you on a mission to create games that bond players together into deeply invested communities? Do you spend your time thinking about how to build combat puzzles for players that have potential to create memorable teamplay moments? Are you excited to make gameplay that strongly cares about player intention, action game feel, and readability? We are seeking a highly technical, creative, and team-oriented Senior Sandbox Designer to contribute to a new multiplayer action game on teamLFG. You will work closely with the entire Design Team designing, crafting, and implementing a robust suite of AI characters for use in an objective-based team game. You will collaborate with team members from other disciplines to drive cohesive gameplay vision. You will establish good design processes and evangelize them throughout the design team. Most importantly, you will work with a fun, dedicated, and cross discipline team devoted to turning a creative dream into a new franchise at PlayStation. RESPONSIBILITIES • An active member of a cross-discipline small team building new AI enemies, player objectives, and the core systems that enable the creation of future AI, such as navigation, perception, behavior, and combat prioritization • Create and balance a suite of active and passive player items that can extend and amplify player base kits and act as meaningful inter-match upgrades • Review content created by multiple disciplines, giving feedback to ensure competitive readability, best in class game feel, and compelling fantasies • Create and maintain endearing characters that uphold IP quality, consistency, along with sandbox design principles • Work with audio, effects, 3D and animation to make in-game gameplay affordances clear to players REQUIRED SKILLS • Intuitive understanding of how second-to-second action games work and why people play them • Fluency for collaboration with designers, artists, programmers, audio professionals, quality assurance and producers to achieve a common goal, with adaptability for how to work in a flexible work environment • Broad T-shaped rapid prototyping skills, with strong technical scripting ability and enough multi-disciplinary knowledge to quickly stub out gameplay ideas to evaluate their potential • Strong understanding of combat animation; is experienced in discussing anticipation, follow through, character and timing, and their impact on game readability and balance • Proven ability to build alignment and productively own feature direction without sacrificing empathy and collaboration with team contributors • Ability to operate autonomously and handle ambiguity, including giving and receiving feedback despite that ambiguity • Understanding of PvP game design and balance, getting the challenge level right for a wide variety of situations • Understanding of how systemically consistent, combinatoric game design can create player surprise and laughter • Outstanding oral and written communication skills PREFERRED EXPERIENCE • Experience as a Sandbox/Gameplay Designer on a multiplayer action game, designing, documenting, and building combat/character systems • Experience delegating work or ownership of an area to multi-disciplinary peers • Knowledge and perspective from playing competitive team games At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $118,000 - $177,000 USD 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.
AI Engineer, Performance Marketing
We are looking for a passionate AI Engineer to join our performance marketing team. As an AI Engineer, you will build generative AI pipelines and agentic systems for creative production: creative ideation, image and video generation, automated creative pipelines, and the tooling around them. You will prototype quickly against real creative problems and take what works into production. Prior marketing experience is not required, but a genuine creative eye for what makes an ad creative work is essential. At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for! Responsibilities - Building and maintaining AI powered features and agentic workflows for creative production - Contributing to systems that generate ad creatives, including interactive playables, by combining code generation and multimodal asset generation - Working with creative strategists to turn their craft into repeatable, scaled workflows - Developing evaluation pipelines for creative output, including quality checks and human-in-the-loop review Requirements - Computer engineering (or similar) background with a genuine creative eye - Proficiency in Python and hands on experience building agentic workflows, LLM chains, and multimodal model calls - Experience with generative AI, such as diffusion models and image/video generation - Familiarity with modern AI application techniques such as RAG, function calling, and vector databases - Deep interest in state-of-the-art AI, following new models and capabilities closely - Passion and interest in games - Appreciation and understanding of teamwork Protecting your privacy and the security of your data is a top priority for Dream Games. We collect and process your personal data as confidential as part of the recruitment process. Please read our Statement of Personal Data Protection Law and Consent Letter to know more details.
Data Scientist - Risk and Trading (Daily Fantasy S...
About Sleeper: Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper’s product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports (“DFS”) games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings. We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Responsibilities: - Support risk and liability management with respect to Sleeper’s DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights. - Develop predictive models and algorithms to better understand Sleeper’s real-time liability, including risk exposure related to specific markets and events. - Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy. - Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately. - Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem. - Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole. Qualifications: - Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets. - In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker. - Proactive – ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the “sports trading mold”, challenging how the industry has historically approached risk management and trading. - Comfortable working “off hours” to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules. - Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. - Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs. Additional Information: 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. For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 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. Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at: www.sleeper.com
AI Content Creator (Contract)
About the Role We're building out a roster of contract AI Content Creators to help us scale content production using the latest AI video, image, and audio generation tools. This is a hands-on creative role for people who are already deep in the AI tooling space — or eager to live there — and who can turn a generation budget into a steady output of high-performing social content. You'll be operating at the intersection of creative production, prompt engineering, and growth marketing. We move fast, ship daily, and care more about output that performs than output that's “perfect.” This is a part-time, contracting role where compensation will be paid out $500/monthly. What You'll Do - Produce a high volume of AI-generated short-form video, image, and audio content for distribution across social platforms (Instagram, TikTok, YouTube Shorts, X) - Build and maintain consistent visual identities across content series — keeping characters, settings, and aesthetics on-model across hundreds of generations - Own end-to-end production: ideation, prompting, generation, light editing, captioning, and publishing - Manage and grow social accounts as part of the role — including posting cadence, comment/DM engagement, and basic community management - Iterate quickly based on performance data — double down on what's working, kill what isn't - Track what's trending in AI-generated content broadly and bring formats and ideas to the team - Collaborate with our internal growth team on briefs, narrative angles, and distribution strategy What We're Looking For Required - Strong portfolio of content you've personally created using AI tools (we want to see the actual work, not just claims) - Hands-on experience with at least 2–3 of: Higgsfield, Veo, Runway, Kling, Seedance, Midjourney, ElevenLabs, Suno, CapCut, or comparable tools - Demonstrated ability to maintain visual/character consistency across multi-shot AI-generated content - Strong instincts for pacing, hooks, storytelling, and internet-native content formats - Comfort with iterative prompt engineering — knowing when to tweak the prompt vs. swap the model vs. start over - Experience running social accounts (your own or for a brand) with a clear understanding of what drives reach, engagement, and follower growth on at least one major platform - Self-directed work style — you can take a loose brief and ship without heavy oversight - Ability to produce daily, on a consistent cadence Nice to Have - Background in performance marketing, growth, or paid social - Experience with longform-to-shortform content pipelines (e.g., podcast clips, reaction edits, splitscreen formats) - Familiarity with platform-specific algorithm dynamics and trending audio/format detection - Comfort with AI agent tools (Claude, ChatGPT projects, automation workflows) to scale your own throughput - Light video editing chops in CapCut, Premiere, or DaVinci What does success look like? - Shipping content that earns attention - measured through views, watch time, shares, follower growth, click-throughs, and repeatable content formats that can scale. How We Work - Async-first, with weekly creative syncs - Generation tool budgets and platform access provided - Direct line to a small, fast-moving in-house team — no agency layers - Strong performers will see expanded scope, higher rates, and longer-term engagements How to Apply Send the following: - A short note on what you're currently building or experimenting with in AI content - Links to 3–5 pieces of AI-generated content you've personally produced (links to accounts you've grown count double) We review applications on a rolling basis.
Senior Combat Designer (AI archetype)
As a Senior Combat Designer at Cloud Chamber, you will collaborate with an innovative team of designers, artists, and engineers to create industry-leading AI characters and combat gameplay. You will be responsible for expanding and building on the ideas of player expression and emergent design experiences. Utilizing your deep knowledge of Unreal Engine, you will develop interactive AI characters to support the overall creative vision for our project, ensuring that our ambitious design goals are achieved and ultimately bring the richly imagined world of BioShock to life. What You’ll Do: - Work with the Leads, Design Director, and the design team to pitch and develop interactive AI characters and execute the vision for the game. - Act as the primary owner of AI and combat implementation in cross-disciplinary pods. - Develop working prototypes of AI and combat scenarios. - Communicate progress, workflows, and availability of AI and combat standards to content developers. - Maintain and tune assigned combat AI behavior and parameters through to project completion. - Create detailed and easy-to-follow design documentation. - Collaborate across development sites in Novato and Montreal on a day-to-day basis. - Expand and build on the ideas of player expression and emergent design experiences. - Use your creativity to execute on design goals and solve design challenges that push our games forward. - Participate in brainstorm sessions, refine, and execute on ideas within a schedule. - Collaborate with cross-disciplinary teams to execute on design implementation and problem solving. What We’ll Do Together: At Cloud Chamber, we are champions of high standards, pushing for progress and embracing change. We will work closely and constructively across design, art, engineering, animation, and audio teams to realize our creative ambitions. Together, we will stay current on technological advancements and identify solutions to overcome developmental obstacles. In this combat design capacity, you will support the Creative Director’s vision, ensuring creative intent is translated into a performant reality while taking ownership of complex design challenges. Skills & Experiences: - Shipped at least one AAA title as a designer responsible for AI combatants. - 5+ years professional experience in video game design. - Excellent written and verbal communication skills. - Experience working with a variety of established game toolsets. - Proven ability to collaborate effectively within cross-disciplinary groups and across multi-site team settings. - Deep understanding of game mechanics, combat systems, and AI NPC design. - Fluent with game development tools, and experience with pipelines, standards and workflows. - Strong presentation skills. - Current knowledge of gaming industry development landscape, technology and tools. - Understanding of how AI, tactical space, and player verbs combine to create magic in both scripted and unscripted settings. - In-depth knowledge of industry standard AI, progression systems, and player mechanics features. Who You Are: - A strong empathetic team member, able to take ownership over your tasks and mentor more junior designers. - A reliable, positive force multiplier, actively seeking opportunities to integrate work across disciplines and contribute to a healthy, supportive team environment. - A solid communicator with excellent written and verbal communication skills, with the ability to articulate complex ideas clearly, package information for diverse audiences, and deliver difficult feedback with empathy and professionalism. - A persistent and self-motivated person with a proactive mindset. - Able to maintain effectiveness and quality under pressure, ambiguity, and fast-changing priorities. - An active listener able to build and maintain trust-based relationships across all levels of the organization, understand differing perspectives, and navigate organizational complexity with tact and emotional intelligence. - Highly open to feedback and direction, possessing a desire to learn new skills, and capable of producing quick, quality revisions based on new insights or constraints. - A strong owner of your tasks, who strives to drive their work forward autonomously while maintaining a critical eye for detail and organization, ensuring high standards of quality. - Dedicated to upholding Cloud Chamber’s core values, contributing to a positive and respectful company culture while striving for excellence in all endeavors. Who We Are: At Cloud Chamber we strive to make BioShock games that move people: evocative, immersive, and meaningful experiences that stay with you long after you’ve rolled credits. Great games are born from great collaborations, supported by a culture that brings out the best in our teams. We work openly, learn through play, take ownership, push ourselves to be better, and deliver for our players. For candidates located in Quebec: This position requires professional proficiency in both French and English. Proficiency in English is required to collaborate with our U.S. teams and international partners, as well as to handle specialized technical documentation (reading, writing, and communication). LI-Hybrid As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform their essential job functions, and receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never use instant messaging apps or personal email accounts to contact prospective employees or conduct interviews. When emailing prospective employees, we only use 2K.com accounts
Gameplay AI Software Engineer, Original Game (Unre...
Blackbird Interactive is a creative-fueled, future-driven, independent game studio where the best talent in the industry can find long-term careers to help grow their abilities while working on a wide range of projects, which encompass world-class IPs as well as our own creations across multiple genres. Our studio operates as a remote-first workplace, offering flexible work arrangements. PLEASE NOTE: At this time, we are only able to hire candidates who are legally eligible to work in Canada and reside within Canada. We are looking for a Gameplay AI Software Engineer to drive the technical direction and execution of a new original game being developed in Unreal Engine 5 . You will be embedded in a core gameplay team to implement gameplay features and systems within our games that are essential to delivering a polished, performant and fun experience. This role is remote-friendly in Canada with Pacific-time overlap required. What You’ll Lead and Deliver - Work across disciplines to build, refactor and maintain a variety of robust, flexible, and well-architected AI features. - Work with the design team to prototype and implement AI behaviors that empower the fun. - Implement enemies, NPCs or any kind of AI managed characters. - Work with gameplay engineers to integrate developed AI systems. - Implement optimizations in perception systems and decision-making systems to make the AI performant. - Work on navigation & pathfinding systems and demonstrate the ability to debug complex AI issues. - Integrate and maintain AI middleware across all platforms. - Partner closely with design and content teams to build high quality and fun experiences. - Drive engineering quality across gameplay code, emphasizing performance, maintainability, extensibility, and production-readiness. - Establish engineering best practices for Unreal Engine 5 development, including code review standards, debugging workflows, profiling habits, and technical planning. - Collaborate with technical leadership to break down risks, define implementation strategies, and align engineering execution with project goals and production timelines. - Communicate clearly with stakeholders about technical constraints, trade-offs, dependencies, and execution plans. You’ll Thrive Here If You - Have 5+ years of professional game development experience , with demonstrated technical leadership through project ownership, mentorship, and setting engineering standards. - Have strong professional experience with C++ and Unreal Engine , including gameplay architecture, runtime systems, debugging, and optimization. - Have deep experience building and maintaining gameplay systems that are responsive, scalable, and designer-friendly. - Advance knowledge on blueprints and AI decision making tools (Unreal behavior trees, utility AI, etc.). - Demonstrate confidence in using navigation and pathfinding systems. - Are comfortable working across systems boundaries, collaborating with multiple disciplines, and balancing short-term production needs with long-term technical health. - Bring a strong ownership mindset, practical decision-making, and a focus on helping teams move effectively under production constraints. Bonus XP - Experience with the Unreal Engine 5 systems, like Blackboards, StateTree, and EQS. - Familiarity with Perforce, Jenkins, Unreal Build System, Unreal Gauntlet.
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