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Burnaby, British Columbia, Canada Avature Full timeWe are seeking a highly skilled Machine Learning Engineer to join our Data & Analytics function at Electronic Arts. As a key member of our team, you will be responsible for designing, constructing, and maintaining production ML systems.The ideal candidate will have a comprehensive knowledge of Machine Learning, MLOps practices, and ML model production. You...
Senior Machine Learning Engineer
1 month ago
204265
Worker Type
Regular Employee
Studio/Department
Flexible Work Arrangement
Hybrid
Description & Requirements
We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.
The Data & Analytics (DnA) function brings both quantitative and qualitative insights to the entire company (including all game teams) through Studio Analytics, Data Engineering, Data Science and Machine Learning Engineering. We develop and improve our Studio's data technical capabilities to bring data insights right to the studio partners' fingertips.
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 Machine Learning engineer 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 AI/ML. 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:
- Enforce the application of best practices in MLOps and ML model production.
- Design, construct, and maintain production ML systems.
- Work closely with team members for efficient deployment and scalability of ML models.
- Stay updated with the latest technology and platforms and guide the MLE team in the adoption of new technologies and platforms.
Requirements:
- Bachelor's degree in Computer Science, Data Science, or related field.
- Comprehensive knowledge in Machine Learning, MLOps practices, and ML model production.
- Excellent communication and coordination skills to work in a cross-functional team
- Profound knowledge in both Machine Learning and MLOps.
- Experience in designing and maintaining ML systems, developing production-ready ML models.
- Knowledge of the latest technology and platforms in the field such as AWS SageMaker, GCP Vertex AI, Airflow, Docker, CI/CD practices.
- Comfortable working in an agile environment.
- 4+ years of industry experience with 1+ years of people management experience.
Compensation and Benefits:
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
- BASE SALARY RANGES: $133,400 - $193,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
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