Senior Machine Learning Engineer

Requisition Number: 172290

Position Title: Software Engineer III

External Description:

#WeAreEA and we exist to inspire the world to play. EA values creativity, pioneering, passion, determination, learning, and teamwork. We mean things like acting with curiosity, speaking up with original ideas, and committing to each other as one team. We're looking for all the best kinds of people to make great experiences for our players. People want a job that inspires them, while giving them room to enjoy their lives. And we want to give them that. We celebrate diversity and inclusion by creating a place where you can come to work and be yourself.

The Positive Play Group at Electronic Arts is changing the game for good. Our goal is to reimagine and rebuild the gaming experience to be an inclusive, fair and positive one for all players. We are part of the Experience organization, and you will report to the Director of Player Connection to help build a first-of-its-kind foundational technology to power the social ecosystem in and around our games, by enabling meaningful connections between our players, our games and our content.

Come join us! We're hiring an ML Engineer to join EA's Positive Play team.

The Opportunity Ahead: The Machine Learning Engineer will help us define and build the next generation of infrastructure to connect our players more meaningfully. Our mission is to enable teams at EA to meaningfully connect people with other players, content and experiences, based upon data sets with a multitude of data points. In this role you will work closely with cross-discipline peers on the Social Accelerator team to develop and deploy machine learning solutions to bring this mission to life.

Responsibilities/Skills:

Use your expertise in Machine Learning to help create healthier short- and long-term behaviors through:

• Oversee and guide the design, development, and evolution of our Social Accelerator ML models
• Develop highly scalable models and tools leveraging machine learning and recommender systems
• Coordinate with Product leadership to identify both the long-term and short-term needs of the Social Accelerator
• Identify and collect features, data and other requirements and create effective roadmaps
• Code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Qualifications:

• Experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required)
• Experience with modern machine learning frameworks such as tensorflow, pytorch and keras.
• Understand storage solutions and when to use them (e.g. Graph Database, Cassandra, Relational database)
• You have a broad ML background, including familiarity with Graph ML and various recommender systems
• You have experience in the entire machine learning production cycle, ranging from architecting data pipelines and being self-sufficient in collecting data, over the design and implementation of models to the offline and online evaluation the performance of models
• An interest in fair and explainable machine learning and willingness to go beyond black-box solutions
• Academic and/or proven experience in knowledge graphs, data management, natural language processing.
• Have excellent communication skills and the ability to translate business intuition into data-driven hypotheses that result in impactful engineering solutions.

Join us in driving the next revolution in games.

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Community / Marketing Title: Senior Machine Learning Engineer

Company Profile:

Electronic Arts Inc.는 세계를 선도하는 인터랙티브 엔터테인먼트 소프트웨어 기업입니다. EA는 인터넷 콘솔, 개인용 컴퓨터, 휴대전화, 태블릿용 게임과 콘텐츠 및 온라인 서비스를 제공합니다.

EEOText: EA는 균등한 기회의 제공을 실천합니다. 모든 채용은 인종, 피부색, 출신 국가, 혈통, 생물학적/사회적 성별, 성 정체성 또는 표현, 성적 성향, 나이, 유전 정보, 종교, 장애 여부, 질병 유무, 임신 여부, 혼인 상태, 가족 상황, 군 복무 여부, 또는 법으로 금지된 기타 요인을 고려하지 않고 결정됩니다. 또한, 해당 직책에 합당한 능력을 갖추고 있다면 범죄 기록이 있는 지원자도 관련 법률을 준수하는 방식으로 채용 여부를 고려합니다. EA는 관련 법률에서 명시하는 대로 업무 공간에 장애가 있는 입사 지원자 또는 예정자를 위한 시설을 마련해두고 있습니다.

Days Open: 125

Can this position be remote?: 1

EEO Employer Verbiage:

EA는 균등한 기회의 제공을 실천합니다. 모든 채용은 인종, 피부색, 출신 국가, 혈통, 생물학적/사회적 성별, 성 정체성 또는 표현, 성적 성향, 나이, 유전 정보, 종교, 장애 여부, 질병 유무, 임신 여부, 혼인 상태, 가족 상황, 군 복무 여부 등의 요인을 고려하지 않고 결정됩니다. EA는 관련 법률에서 명시하는 대로 업무 공간에 장애가 있는 입사 지원자 또는 예정자를 위한 시설을 마련해두고 있습니다.