Développeur.se sénior.e des données d’apprentissage automatique / Senior ML Data Developer

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. « Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page. » At EA, we believe games are powerful because they bring together multiple ways people engage: play, watch, create, and connect. And increasingly, the biggest entertainment platforms aren't just places to consume content - they're places where communities build. Creator‑made content is already a proven part of EA's history - from community creation tools in Battlefield to The Gallery in The Sims 4. We believe new creative technologies and tools will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by making creation easier, safer, and more rewarding. As a Senior ML Data Engineer, you will own the layer between raw game capture and research‑ready datasets. You will define how multimodal game data is structured, enriched, evaluated, discovered, and delivered, so researchers can build and assess new machine learning systems with confidence. You will lead Research Embedded Data Engineers across research pillars and work with central infrastructure and data teams to turn repeated research requirements into shared capabilities. Your focus will be the architecture and utility of the datasets rather than ownership of generic storage, compute, or data‑lake services. This is a hybrid role, working three days per week in Redwood City, Montreal, or Vancouver. You will report to the Lead Technical Director. Responsibilities You will define canonical schemas and data contracts for synchronized game capture, assets, metadata, annotations, and derived research data. You will lead the technical strategy for turning certified raw captures into reproducible, research‑ready datasets. You will guide Research Embedded Data Engineers across research pillars, align priorities, and consolidate repeated requirements into shared solutions. You will partner with researchers to define dataset requirements, acceptance criteria, sampling strategies, and measures of downstream utility. You will design systems for dataset discovery, versioning, lineage, composition, and repeatable train, validation, and evaluation splits. You will develop automated methods for semantic enrichment, indexing, labeling, deduplication, coverage analysis, and quality assessment. You will establish metrics that identify gaps, bias, corruption, and low-value repetition across multimodal datasets. You will define interfaces with central infrastructure and data platforms, ensuring research requirements are met without duplicating foundational services. You will provide technical leadership through architecture reviews, documentation, mentoring, and hands‑on implementation of critical data capabilities. Qualifications 12+ years of experience in data engineering, machine learning infrastructure, or applied machine learning, including ownership of large-scale data systems. Experience designing datasets for computer vision, reinforcement learning, world models, robotics, or other multimodal machine learning applications. Expertise with Python and modern data-processing frameworks. Experience working with large collections of video, images, time-series telemetry, structured metadata, or 3D data. Experience with schema design, dataset versioning, lineage, reproducibility, and data‑quality measurement. Experience developing search, indexing, sampling, labeling, or enrichment workflows for machine learning data. Experience translating research objectives into concrete data requirements and reusable technical systems. Experience leading engineers through technical direction, architecture decisions, mentoring, and prioritization. Experience collaborating with research, game‑engine, infrastructure, security, legal, and product partners. Pay Transparency - North America Compensation And Benefits The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

British Columbia (depending on location e.g. Vancouver vs. Victoria) *$169,500 - $242,600 CAD California (depending on location e.g. Los Angeles vs. San Francisco) *$193,100 - $296,500 USD Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs. For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. #J-18808-Ljbffr Electronic Arts (EA)