Machine Learning Engineer

Job Description

EA's Digital Platform Gameplay Services powers online features for EA's game titles serving millions of users each day. We develop services and SDKs in collaboration with EA's game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking. We try to capture the most memorable portions of your experience, such as statistics to compare yourself to other players, achievements you earned during play, and even replays of your own games to share.

We are looking for a Software Engineer to join our team. You will build scalable, distributed server-side systems that bring functionality to our millions of customers and work on creative improvements to keep our systems at top-notch performance.

Responsibilities:
• Design brand new services covering all aspects from storage to application logic to management console
• Enhance and add features to existing systems
• Research and select new best-of-breed technologies to meet challenging requirements
• Communicate with engineers from across the company to provide the next generation of online features for both established and not-yet-released games
• Aim to optimize performance and scalability of server systems
• Be a part of the full product cycle for our products, from design and testing to deployment and supporting our LIVE environments and our game team customers
• Advocate for best practices within the engineering team
• Work with product managers to improve new features to support EA's business

Qualifications:
• A Bachelors' degree in Computer Science, Computer Engineering or equivalents
• Java/J2EE experience
• Experience with relational and NoSQL database
• Exposure to all phases of product development lifecycle, including requirement definition, development, test, and product release
• Analytical and creative problem solving skills, solution oriented individual
• Excellent written and verbal communication skill

Nice-to-haves:
• Experience with high traffic services and scalable, distributed systems
• Experience with scalable data storage, streaming and processing technologies such as Cassandra, Amazon S3, Apache Kafka, Storm and Spark
• Experience with cloud computing products such as AWS EC2, ElastiCache, and ELB
• Experience with technologies such as ZooKeeper, Docker, and Redis
• Experience with stress testing plus performance tuning and optimization
• Experience working within the games industries
• Knowledge of Google gRPC and protobuf

Jobcode: Reference SBJ-rzyxyn-3-135-216-174-42 in your application.