Senior Machine Learning Engineer

EA SPORTS; Vancouver; Remote; CAD 100,000 - 130,000; Full time

Job summary

Join EA SPORTS as a Senior Machine Learning Engineer, where you will drive innovation in gaming through advanced research and technology. Collaborate with diverse teams to redefine gameplay experiences by implementing cutting-edge AI and machine learning solutions. This role offers a chance to shape the future of sports gaming in a dynamic and creative environment.

Benefits

Paid time off (3 weeks per year)

Medical / dental / vision insurance

Life insurance

Disability insurance

401(k) retirement plan

Paid parental leave

Qualifications

• 3+ years of experience with AI and machine learning.
• Strong technical background in research engineering and game development.
• Expertise in turning new ideas into effective implementations.

Responsibilities

• Implement technical strategy to support research roadmap.
• Collaborate with research and game teams to integrate new discoveries.
• Facilitate sharing of results through prototypes and demonstrations.

Skills

AI

Machine Learning

Research Engineering

Game Development

Education

BS in Computer Science

Mathematics or related field

Job description

Join to apply for the Senior Machine Learning Engineer role at EA SPORTS

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

EA SPORTS revolutionizes the world of gaming by driving transformational changes in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.

The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to redefine gaming experience by integrating innovative technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness the latest technology to uncover what makes games fun for humans.

As a Machine Learning Engineer, reporting to the Director of Technology, you will build the framework and tools necessary to drive our research strategy and innovation roadmap. You will work alongside our researchers to streamline their research and bring our innovations to life. Your mission is to redefine what is possible in gameplay by taking our team's research from concept to reality; empower experimentation, scaling up new discoveries, and contributing to a strategy that brings the future of gaming to life at EA SPORTS.

This role is open to remote candidates.

Your Responsibilities

• Implement the technical strategy to support our research roadmap, exploring frontier technologies to shape the future of Sports Gaming
• Work with the research team to support experiments with tooling and platforms, and data acquisition and management
• Facilitate the sharing of results through prototypes and compelling interactive demonstrations
• Stay abreast of the latest advancements in relevant technologies and propose impactful projects to inspire creativity
• Collaborate with game teams to understand their technical needs and build strategies to scale and integrate new discoveries
• Collaborate with a diverse range of partners, including research, engineering, and game development teams

Your Qualifications

• BS in Computer Science, mathematics or related field, or equivalent experience
• Strong technical background, experience working with both research engineering and game development, and a proven track record of delivery
• 3+ years of experience with AI and machine learning, their relevant tools and platforms, and their application in gaming
• Expertise turning new ideas into effective implementations.

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).

PAY RANGES

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with a baby, medical / dental / vision insurance, life insurance, disability insurance, and 401(k). Certain roles may also be eligible for bonus and equity.

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. 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 adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and 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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