FAQs
Do we support remote work?
Yes, this role is open to remote candidates.
What are the primary responsibilities of a Machine Learning Scientist at EA SPORTS?
The primary responsibilities include contributing to ML research strategy, collaborating with the engineering team on experiments, sharing results through presentations and prototypes, staying updated on technology advancements, and working with game teams to create engaging experiences.
What qualifications are required for this position?
A Master's degree in Computer Science, Mathematics, or a related field with research experience is required. Additionally, familiarity with multiple ML techniques such as transformer models and diffusion models is essential.
What is the expected salary range for this position in California?
The expected salary range in California is $140,700 - $204,700 USD, depending on location.
What benefits are offered to employees?
Benefits include paid time off (3 weeks per year to start), sick time (80 hours per year), 16 paid company holidays, parental leave, medical/dental/vision insurance, life and disability insurance, and a 401(k) plan.
Are there opportunities for bonuses or equity in this role?
Yes, certain roles may be eligible for bonus and equity.
What type of projects will the Machine Learning Scientist work on?
The Machine Learning Scientist will work on projects aimed at creating new player experiences, leveraging frontier technologies to innovate within sports gaming.
Is collaboration with other teams a part of this role?
Yes, collaboration with engineering, research, and game development teams is an essential aspect of this role.
How important is staying updated with technological advancements in this position?
Staying abreast of the latest advancements in relevant technologies is crucial as it helps propose impactful projects to drive innovation.
Is prior research experience a necessity for this job?
Yes, experience in research is required for this position.