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Electronic Arts (EA)

Electronic Arts (EA)

ea.com

13 Jobs

33,680 Employees

About the Company

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A team where creativity thrives, new perspectives are invited, and ideas matter. Regardless of your role, team, or location, this is a place where everyone makes play happen. Join us.

Listed Jobs

Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Machine Learning Engineer
Job Description
Job title: Machine Learning Engineer Role Summary: Design, develop, and operate large‑scale production machine learning systems that power scalable analytics and autonomous decision‑making platforms. Focus on vector database integration, semantic search, and end‑to‑end model lifecycle management to deliver high‑impact insights for product features and engagement metrics. Expectations: - Deliver scalable, reliable ML pipelines that meet stringent performance, latency, and accuracy targets. - Drive continuous improvement of model quality and deployment efficiency through rigorous testing, validation, and monitoring. - Collaborate with cross‑functional partners—product, platform, and MLOps—to translate business requirements into technical specifications and ensure alignment with strategic objectives. - Communicate progress, risks, and findings to senior stakeholders, providing clear, data‑driven updates. Key Responsibilities: - Optimize and scale machine learning systems for production, emphasizing vector database integration and semantic search techniques. - Develop and implement testing, validation, load, and latency assessment processes to guarantee model accuracy and reliability. - Partner with platform and MLOps teams to enhance pipeline efficiency, deployment practices, and scalability. - Lead technical discussions with stakeholders to design and implement ML models that align with product goals. - Evaluate and adopt new technologies and platforms to improve model deployment, scalability, and operational excellence. - Translate product requirements into detailed technical specifications in collaboration with product management. - Report project status and product updates to senior management. Required Skills: - 6+ years of industry experience in machine learning, MLOps, and model production. - Proficient in designing, maintaining, and scaling ML systems with a focus on vector database and semantic search methodologies. - Strong knowledge of cloud platforms (AWS, GCP) and CI/CD workflows for ML pipelines. - Experience with load testing, performance tuning, and latency assessment of ML services. - Excellent communication skills for stakeholder engagement and technical documentation. - Ability to work collaboratively in cross‑functional teams and lead technical discussions. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related technical field. - Relevant certifications in cloud platforms (AWS Certified Solutions Architect, GCP Professional Data Engineer, etc.) and ML/MLOps tools are desirable.
Vancouver, Canada
Hybrid
Mid level
23-12-2025
Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Senior Director Product Management - PI&E
Job Description
**Job title** Senior Director Product Management – PI&E **Role Summary** Lead the product management organization for infrastructure cost optimization, capacity forecasting, and vendor lifecycle within EA’s Production Infrastructure & Engineering platform. Own end‑to‑end product strategy, execute multi‑year roadmaps, and build a high‑performing PM team that drives measurable cost savings, scalability, and vendor excellence across game studios and live services. **Expectations** - Articulate and evolve a vision for cost management, capacity, and vendor optimization that aligns with engineering, finance, and business priorities. - Deliver sustained, data‑driven value through product decisions that balance ROI, technical feasibility, and customer impact. - Grow and mentor a cohort of product managers, instilling rigorous product practices, career development, and a culture of experimentation. - Influence senior stakeholders across technical, financial, and operational domains. **Key Responsibilities** - Define long‑term strategy and product vision for cost optimization, capacity planning, and vendor lifecycle management. - Build and maintain multi‑year roadmaps; prioritize initiatives against business, technical, and financial criteria. - Partner with game studios, live‑service teams, and finance to shape and ship high‑impact capabilities that unlock cost efficiency and operational resilience. - Lead, coach, and scale a product management team; set clear OKRs, track progress, and foster continuous improvement. - Institutionalize product operations standards (intake, roadmapping, prioritization, metrics) and embed them across the organization. - Champion a data‑centric, customer‑first culture; drive experimentation, learning, and rapid iteration. - Stay abreast of FinOps, cloud optimization, and infrastructure best practices; inject fresh ideas into strategy and execution. **Required Skills** - 10+ years of product management experience, including deep expertise in hybrid/multi‑cloud infrastructure cost optimization. - Proven track record delivering multi‑year product strategies at enterprise scale. - Leadership experience building and developing high‑performing product teams. - Strong knowledge of FinOps practices, cloud ecosystems (AWS, Azure, GCP), and core infrastructure components (VMs, containers, networking, storage). - Financial acumen: budgeting, forecasting, ROI analysis, and cost‑benefit discussions. - Excellent communication, negotiation, and stakeholder‑management skills across technical and business audiences. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Business, Finance, or a related field (MBA or advanced degree preferred). - Relevant professional certifications (e.g., PMP, Product Management Professional, AWS Certified Solutions Architect, Azure M365 Certified, Google Professional Cloud Architect) are a plus.
Vancouver, Canada
Hybrid
Senior
25-12-2025
Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Data Scientist - Mobile Growth
Job Description
Job Title: Data Scientist - Mobile Growth Role Summary: Analyze marketing spend and performance across digital channels to inform growth strategy for a mobile gaming portfolio. Works with media buying, experimentation, and forecasting to optimize budget allocation and measure incremental impact. Expactations: • Deliver actionable insights to media buyers and stakeholders. • Build and maintain Bayesian hierarchical media mix models and causal experiments. • Communicate complex model outputs clearly to non‑technical audiences. • Foster collaboration between data science, media teams, and product stakeholders. Key Responsibilities: • Construct Bayesian hierarchical media mix models (MMMs) to quantify channel contributions. • Design and analyze geo‑based incrementality experiments and user‑level re‑engagement tests. • Lead retargeting A/B tests, applying causal inference techniques to evaluate incremental lift. • Develop budget‑optimization tools for strategic decision‑making. • Build forecasting models (e.g., Prophet) to project game and revenue performance. • Translate model findings into clear, actionable recommendations for media strategy. Required Skills: • Advanced statistical modeling, including Bayesian frameworks. • Proficiency in Python and/or R, plus SQL for data manipulation. • Experience with MMMs, causal impact methods (CausalImpact, fixed‑effect regression), and experimental design. • Ability to simplify technical results for business stakeholders. • Strong analytical and problem‑solving skills. Required Education & Certifications: • Master’s degree in Statistics, Econometrics, or related quantitative field. • 2–5 years of data science or analytics experience, preferably in marketing measurement or experimentation.
Vancouver, Canada
Hybrid
Junior
06-01-2026
Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Full Stack Web Developer (Next.js / TypeScript / Node.js)
Job Description
Job Title: Full Stack Web Developer (Next.js / TypeScript / Node.js) Role Summary: Design, develop, and maintain scalable, API-driven web applications with a focus on robust backend services and performant, responsive front‑end experiences. Collaborate across design, product, and engineering teams to deliver features that integrate multiple data sources and third‑party APIs. Expectations: - Deliver high‑quality, maintainable code on a regular basis. - Participate in Agile ceremonies and code reviews. - Contribute to continuous improvement of architecture, testing, and deployment practices. - Maintain strong communication with cross‑functional stakeholders. Key Responsibilities: 1. Backend Development - Build and optimize Node.js / NestJS APIs and server‑side logic. - Design and maintain data models fetching from internal services and headless CMS (e.g., Contentful). - Implement authentication, authorization, validation, caching, and performance optimizations. 2. Frontend Development - Develop responsive, reusable components with React and Next.js. - Translate UI/UX designs into code and integrate with backend APIs. - Ensure cross‑browser compatibility, accessibility (WCAG), and SEO best practices. 3. API Integration - Consume and abstract RESTful and GraphQL third‑party APIs, focusing on reliability, error handling, and clean front‑end exposure. 4. Quality Assurance & Collaboration - Write unit and integration tests using Jest, React Testing Library, or similar. - Participate in CI/CD pipeline configuration (GitLab, GitHub Actions). - Engage in code reviews, documentation, and Agile planning. Required Skills: - Proficiency in JavaScript/TypeScript. - Node.js (with NestJS) backend development experience. - React & Next.js front‑end development, component‑driven architecture. - Experience with headless CMS integration (Contentful preferred). - Familiarity with Git, Agile workflows, pull‑request reviews. - Knowledge of caching, CDN, performance tuning, and SEO. - Strong testing culture; Jest, React Testing Library or equivalents. - RESTful and GraphQL integration experience. - Ability to design secure authentication/authorization flows. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). - No specific certifications required.
Vancouver, Canada
Hybrid
Junior
21-01-2026