Software Engineer – Machine Learning Ops, Electronic Arts, Inc., Redwood City, CA. Create scalable and end-to-end data science systems using statistical and machine learning techniques. Analyze large amounts of player 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. 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-machine learning deployment general business activity and provide compelling management reporting regularly. Build custom integrations between cloud-based systems using APIs. Telecommuting Permitted. (E2-736961)
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.Salary Range: $161,100- $239,700/yr. EA offers benefits incl PTO, medical/dental/vision insurance & 401(k) to eligible employees. Certain roles eligible for bonus & equity.
MINIMUM REQUIREMENTS:
Master’s Degree (or foreign equivalent) in Computer Science, Machine Learning, Statistics, Applied Math or in a related field and two (2) years of experience in the job offered or in a computer-related occupation.
Position requires two (2) years of experience in each of the following skills:
· Machine Learning;
· Data Analysis and Data Science;
· Software Engineering;
· Statistics;
· AWS, Google Cloud, Docker, Kubernetes, and Airflow;
· Python and SQL; and
· Machine Learning liberties and tools, including: Tensorflow, Pytorch, scikit-learn, or XGBoost.
To apply, send resumes to eajobs@ea.com and reference job code (E2-736961).
Software Engineer – Machine Learning Ops, Electronic Arts, Inc., Redwood City, CA. Create scalable and end-to-end data science systems using statistical and machine learning techniques. Analyze large amounts of player 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. 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-machine learning deployment general business activity and provide compelling management reporting regularly. Build custom integrations between cloud-based systems using APIs. Telecommuting Permitted. (E2-736961)
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary Range: $161,100- $239,700/yr. EA offers benefits incl PTO, medical/dental/vision insurance & 401(k) to eligible employees. Certain roles eligible for bonus & equity.
MINIMUM REQUIREMENTS:
Master’s Degree (or foreign equivalent) in Computer Science, Machine Learning, Statistics, Applied Math or in a related field and two (2) years of experience in the job offered or in a computer-related occupation.
Position requires two (2) years of experience in each of the following skills:
· Machine Learning;
· Data Analysis and Data Science;
· Software Engineering;
· Statistics;
· AWS, Google Cloud, Docker, Kubernetes, and Airflow;
· Python and SQL; and
· Machine Learning liberties and tools, including: Tensorflow, Pytorch, scikit-learn, or XGBoost.
To apply, send resumes to eajobs@ea.com and reference job code (E2-736961).