Machine Learning Scientist

Electronic Arts; Orlando (FL); Remote; USD 140,000 - 205,000; Full time

Job summary

Join a forward-thinking company at the forefront of gaming innovation as a Machine Learning Scientist. In this exciting role, you will collaborate with a talented team to drive research and development in machine learning, helping to redefine player experiences. You will explore cutting-edge technologies and contribute to groundbreaking projects that shape the future of sports gaming. This position offers the opportunity to work remotely and be part of a vibrant community that values creativity and innovation. If you're passionate about pushing the boundaries of gaming, this is the perfect opportunity for you.

Benefits

Paid Time Off (3 weeks per year)

Sick Time (80 hours per year)

16 Paid Company Holidays

10 Weeks Paid Parental Leave

Medical/Dental/Vision Insurance

401(k) Plan

Life Insurance

Disability Insurance

Free Games

Bonus and Equity Opportunities

Qualifications

• Experience with machine learning techniques and research.
• Technical background with a proven record of implementation.

Responsibilities

• Contribute to ML research strategy for player experiences.
• Collaborate with engineering teams for experiments and data management.

Skills

Machine Learning

Research Engineering

Data Acquisition

Collaboration

Education

Masters in Computer Science

Mathematics

Tools

Transformer Models

Diffusion Models

Job description

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 is at the forefront of revolutionizing the world of gaming by driving transformational change 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 the gaming experience by integrating innovative technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness cutting-edge technology to uncover what makes games fun for humans.

As a Machine Learning Scientist, reporting to the Director of Machine Learning, you will realize the team's research roadmap by combining the latest research inside and outside of EA and applying it to video games. Your mission is to discover new technologies and interactive experiences that will redefine gameplay. You will identify research targets, define and drive your experimentation plan, implement and demonstrate new models, and contribute to a strategy that brings the future of gaming to life at EA Sports.

This role is open to remote candidates.

Your Responsibilities:

• Contribute to the ML research strategy to create new player experiences, exploring frontier technologies to shape the future of Sports Gaming
• Work closely with the engineering team to support experiments with tooling and platforms, as well as data acquisition and management
• Share your results through presentations, papers, prototypes and compelling interactive demonstrations
• Stay abreast of the latest advancements in relevant technologies and propose impactful projects to drive innovation
• Collaborate with game teams to understand their design goals and build strategies to discover new engaging experiences
• Collaborate with a diverse range of partners, including research, engineering, and game development teams

Your Qualifications:

• Masters in Computer Science, mathematics or related field, with experience in research
• Experience with machine learning and familiarity with multiple ML techniques such as transformer models and diffusion models
• Technical background, experience working with both research engineering, and a proven track record of going from idea to implementation
• Demonstrated success turning new ideas into effective implementations

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).

PAY RANGES

* California (depending on location e.g. Los Angeles vs. Sacramento) * $140,700 - $204,700 USD

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 baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) 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.