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Apply on Electronic Arts (HQ)’s site →Développeur.se sénior.e des données d’apprentissage automatique / Senior ML Data Developer - 216087 - Electronic Arts
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Développeur.se sénior.e des données d’apprentissage automatique / Senior ML Data Developer
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Role Detail
General Information
Locations : Montreal, Quebec, Canada Location: Vancouver State: British Columbia Country: Canada
Role ID
216087
Worker Type
Regular Employee
Studio/Department
Other
Work Model
Hybrid
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
« Pour visualiser la description de poste en français, veuillez sélectionner le français dans le menu déroulant au haut de la page. » 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.
We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems.
Pay Transparency - North America
COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$169,500 - $242,600 CAD
Pay is just one part of the overall compensation at EA.
For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and 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.
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style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will define canonical schemas and data contracts for synchronized game capture, assets, metadata, annotations, and derived research data.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will lead the technical strategy for turning certified raw captures into reproducible, research-ready datasets.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will guide Research Embedded Data Engineers across research pillars, align priorities, and consolidate repeated requirements into shared solutions.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will partner with researchers to define dataset requirements, acceptance criteria, sampling strategies, and measures of downstream utility.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will design systems for dataset discovery, versioning, lineage, composition, and repeatable train, validation, and evaluation splits.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will develop automated methods for semantic enrichment, indexing, labeling, deduplication, coverage analysis, and quality assessment.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will establish metrics that identify gaps, bias, corruption, and low-value repetition across multimodal datasets.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will define interfaces with central infrastructure and data platforms, ensuring research requirements are met without duplicating foundational services.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:6pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EYou will provide technical leadership through architecture reviews, documentation, mentoring, and hands-on implementation of critical data capabilities.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:12pt;margin-bottom:12pt;\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EQualifications:\u003C\/span\u003E\u003C\/p\u003E\u003Cul style=\"margin-top:0;margin-bottom:0;padding-inline-start:48px;\"\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:6pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003E12+ years of experience in data engineering, machine learning infrastructure, or applied machine learning, including ownership of large-scale data systems.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExperience designing datasets for computer vision, reinforcement learning, world models, robotics, or other multimodal machine learning applications.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExpertise with Python and modern data-processing frameworks.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExperience working with large collections of video, images, time-series telemetry, structured metadata, or 3D data.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExperience with schema design, dataset versioning, lineage, reproducibility, and data-quality measurement.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExperience developing search, indexing, sampling, labeling, or enrichment workflows for machine learning data.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExperience translating research objectives into concrete data requirements and reusable technical systems.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:0pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExperience leading engineers through technical direction, architecture decisions, mentoring, and prioritization.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003Cli dir=\"ltr\" style=\"list-style-type:disc;font-size:11pt;font-family: initial;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;margin-left: -18pt;\"\u003E\u003Cp dir=\"ltr\" style=\"line-height:1.3800000000000001;margin-top:0pt;margin-bottom:6pt;\" role=\"presentation\"\u003E\u003Cspan style=\"font-size:11pt;font-family:Arial,sans-serif;color:#000000;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;\"\u003EExperience collaborating with research, game-engine, infrastructure, security, legal, and product partners.\u003C\/span\u003E\u003C\/p\u003E\u003C\/li\u003E\u003C\/ul\u003E","text_19903":"\u003Cdiv\u003EWe want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click \u201cGet Recommendations\u201d to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems.\u003C\/div\u003E","text_19907":"\u003Cdiv\u003E\u003Cbr\u003E\u003C\/div\u003E\u003Cstrong\u003EPay Transparency - North America\u003C\/strong\u003E\u003Cdiv\u003E\u003Cbr\u003E\u003C\/div\u003E","text_19908":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cstrong\u003ECOMPENSATION AND BENEFITS \u003C\/strong\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cbr\u003E\u003C\/div\u003E\u003Cdiv\u003EThe 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). \u003C\/div\u003E\u003Cdiv\u003E\u003Cbr\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cstrong\u003EPAY RANGES\u003C\/strong\u003E\u003C\/div\u003E\u003C\/div\u003E","schemaField_3_254":"* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$169,500 - $242,600 CAD","text_19910":"\u003Cdiv\u003E\u003Cbr\u003E\u003C\/div\u003E\u003Cdiv\u003EPay is just one part of the overall compensation at EA.\u003C\/div\u003E","text_19912":"\u003Cdiv\u003EFor 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.
\u003C\/div\u003E\u003Cdiv\u003E\u003Cbr\u003E\u003C\/div\u003E","text_16177":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cstrong\u003E\u003Cem\u003E\u003Cfont face=\"times new roman\"\u003E\u003Cbr\u003E\u003C\/font\u003E\u003C\/em\u003E\u003C\/strong\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cstrong\u003E\u003Cem\u003E\u003Cfont face=\"times new roman\"\u003E\u003Cbr\u003E\u003C\/font\u003E\u003C\/em\u003E\u003C\/strong\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cstrong\u003E\u003Cem\u003E\u003Cfont face=\"times new roman\"\u003EAbout Electronic Arts\u003C\/font\u003E\u003C\/em\u003E\u003C\/strong\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cfont face=\"times new roman\"\u003EWe\u2019re 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.\u003C\/font\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cfont face=\"times new roman\"\u003E\u003Cbr\u003E\u003C\/font\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cfont face=\"times new roman\"\u003EWe 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.\u003C\/font\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cfont face=\"times new roman\"\u003E\u003Cbr\u003E\u003C\/font\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cfont face=\"times new roman\"\u003EElectronic 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.\u003C\/font\u003E\u003C\/div\u003E\u003C\/div\u003E","separator_2":"","text_16527":"","text_16528":"","text_16529":"","text_16530":"","Post To":"External careers site, Internal careers site","LinkedInID":"1449","entityExtensionId":3,"entityTypeId":3}]};
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Posted by Electronic Arts (HQ) and synced from their own careers page. DevQuest doesn’t take a fee, doesn’t sit between you and the studio, and doesn’t sell your data — you apply directly with them.
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