Electronic Arts

The ATOM team is responsible for building the future of AI for testing games. As ATOM’s Lead Machine Learning Scientist, reporting to the Director of AI for Quality Verification Services (QVS), you will drive execution and technical strategy for the business unit’s AI roadmap. Your mission is to discover and evaluate AI methods that increase the velocity and quality of next generation interactive experiences. You will determine and fulfill high-impact research targets and help craft a vision that helps bring EA’s games to life.

Your Responsibilities Include:

Execute the AI/ML technology roadmap. Work closely with the Director of AI to define and execute the RnD roadmap for next-generation game-testing solutions. Your applied research will involve areas such as agentic workflows, RL/IL agents, code quality evaluation, bug-prediction models, multi-modal foundation models and generative content evaluation. Your goal is to assess any relevant AI technology for product readiness, and your work will touch every game in the EA umbrella. 

Development Strategy. Play a key role in deciding which parts of the roadmap should be developed internally, which should be developed with the help of external partners and which should be licensed. You will have several senior technical staff to support you, and you will play a direct role in building the team further. You will also manage a significant compute budget to support your goals.

Inform the development of robust AI platforms. ATOM’s solutions will ultimately need to scale up to meet the needs of games across all of our studios. You will partner with other groups to inform them of what is required to scale these solutions as well as define governance for data pipelines, simulation environments, and telemetry-collection systems that fuel rapid experimentation and development.

Communicate outcomes. Work with the Development Director to communicate progress across the organization through reports, technical papers, demos, and prototypes that showcase improvements and help establish ATOM as an organizational leader in AI adoption.

Stay current. Regularly spend time in the literature and attend conferences to keep on top of advances in RL/IL, Computer Vision, and Natural Language Processing.

Build & mentor a high-impact team. Recruit, develop, and inspire top engineering talent and foster a collaborative, inclusive, and innovative culture that solves problems and provides value.

Collaborate across the studio ecosystem. Coordinate with QA leadership, other research groups, enterprise teams and core game-development teams to integrate AI testing tools and ensure solutions tightly match use cases.

Your Qualifications:

• PhD in Computer Science, mathematics or related field

• At least 8 years of experience working in basic and applied AI research

• Strong programming skills and understanding of software engineering practices

• Experience working with both research and engineering contexts

• Experience putting ML models into production

• Strong communication, interpersonal and writing skills

• Experience leading a team of scientists or engineers