Software Engineer III - Machine Learning Ops

Requisition Number: 171233

Position Title: Software Engineer III

External Description:

Join the EA Studios Technology organization’s Analytics Solutions group that supports analytics and data science to improve player experience. EA serves millions of players with multi-genre online experiences via Live Services. Games of the last decade continue to entertain and engage audiences with new titles launching each year. The common need across all game experiences is modern personalization approaches that enhance and optimize player experiences, leveraging the latest Machine Learning technologies to retrofit and augment game features, game systems, and game mechanics. We are looking for a Senior Software Engineer specializing in Machine Learning Operations (MLOps) who will work amidst unique technologies to deliver in-game Personalization by building global-scale production systems. You will report to the technical director of ML and applications. If you have a passion for creating advanced analytics data products to allow partners to make crucial decisions, you want to make impacts to help player engagement by providing an autonomous platform; then we want to talk to you.

 

Responsibilities

• Use statistical and machine learning techniques to create scalable and end-to-end data science systems.
• Analyze large amounts of players’ data with business use cases to bridge the gaps of data-driven cycles.
• Write production-quality code that solves real-world problems in any of our supported algorithm development languages and frameworks.
• Work with software engineering teams such as architecture, data engineering, and infrastructure to improve real-time model implementations and new feature creations.
• Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation and model implementation.
• Track post-ML deployment general business activity and provide compelling management reporting regularly.
• Build custom integrations between cloud-based systems using APIs.

 

Qualifications

• B.S. in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or an equivalent technical field.
• 4+ years of professional software development: experience in backend development experience with interest in work involving data pipelines, distributed systems, performance analysis, and large-scale data processing.
• 2+ years of applied ML experience in statistical and mathematical modelling such as supervised and unsupervised machine learning, deep learning, or reinforcement learning.
• Familiarity with one or more deep learning software frameworks such as: Tensorflow, Caffe and PyTorch.
• Strong programming skills in Python, Scala, Java, or similar languages.
• Experience deploying and monitoring large-scale ML models in production.
• Experience with Kubernetes and Serverless.
• Prior experience shipping scalable data solutions in the cloud (AWS, Azure, GCP) and database technologies such as Snowflake, Redshift, SQL/NoSQL and or columnar databases.
• Experience in CI/CD pipeline tools such as Gitlab and Jenkins.
• Experience working in an agile team environment.

 

Bonus

• M.S. in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or an equivalent technical field
• Explored modern data storage, messaging, and processing tools (Kafka, Spark, Hadoop, Cassandra, etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar.
• Experience in ML/AI product development lifecycle such as model versioning, feature store, hyper-parameter tuning, and logs/metrics visualizations and monitoring.
• Familiar with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance.
• Experience in several of the following areas: machine learning, statistics, deep learning, NLP, recommendation systems, dialogue systems, information retrieval.

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Community / Marketing Title: Software Engineer III - Machine Learning Ops

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: 97

Can this position be remote?: 0

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.