Machine Learning Engineer

Requisition Number: 154300

Position Title: Data Scientist I

External Description:

We are EA

Electronic Arts is more than you’ve ever realized. We’re more than a company, or a headline, or even a clever catchphrase – we’re a vibrant community of over 8,000 artists, storytellers, technologists and innovators working toward a shared vision: to inspire and unite through play.

While headquartered in Redwood City, EA's platform engineering, game development, and publishing operations take place in a network of locations, stretching from Shanghai to Stockholm, Melbourne to Vancouver. No matter which of our studio locations you join, you’ll feel the energy and support of EA’s global brand, while immersing yourself in a culture that inspires you to thrive, take risks and dream big. Our unique studios create amazingly creative and fun games - fast paced puzzles, adrenaline filled warfare, galaxy spanning adventures, high speed racing, and sports so realistic you can practically feel the grass under your feet. 

The Challenge Ahead:

EA’s Digital Platform (EADP) organization is responsible for driving critical technology decisions and investments for EA on a global basis, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games and services and the EADP team is leading the way to providing cross-platform infrastructure that will keep our consumers connected with our games anytime, anywhere with anyone.

What a Machine Learning Engineer, Player Reliability does at EA:

This unique role will be perfect for an individual who likes to find innovative ways of building powerful data-driven systems to inform automated recovery actions. If the idea of pattern and signal analysis, extracting meaning out of petabytes of data and analyzing complex technical architecture across EA to understand underlying drivers and root causes of de-stabilization sounds exciting, then this is the path for you. Success has customers spending more hours with our portfolio of games because they are fast and reliable; having “EA Servers” powering a game becomes a competitive differentiator. This effort requires expertise spanning platform technologies, infrastructure technologies, and game engine and client technology across EA’s broad portfolio of mobile, console and PC games as well as other consumer facing touch points.

Projects and Responsibilities may include:

• Extract information from huge amounts of social media, email, chat and phone data
• Develop a better understanding of service availability issues and leverage data to build a prediction and prevention system
• Automate issue detection and resolution processes
• Build and implement in-depth analyses and data visualizations
• Design, develop, and run experiments to gauge effectiveness of metrics
• Partner closely with customer service teams to understand how to better communicate and resolve service availability issues

The next great EA Data Science, Player Reliability needs:

• Master's in Computer Science, Statistics, Operations Research or related field
• Machine learning, AI - relevant experience or coursework
• Ability to define and manage an independent project-from exploratory data analysis to model building, implementation and evaluation  
• Strong programming expertise in Python
• Familiarity with a statistical software package such as R, SAS or Stata
• Experience querying databases and distributed data tools
• A passion for gaming and a highly analytical and creative thinker

City:

State:

Community / Marketing Title: 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: 109

Can this position be remote?:

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.