Lead Research Engineer for Reinforcement Learning in Design & Engineering

Summary:

Meta's Fundamental AI Research lab (FAIR) is excited to announce an opening for a Lead Research Engineer focused on Reinforcement Learning for Design and Engineering tasks. In this pivotal role, you will spearhead a groundbreaking research initiative aimed at training large language models (LLMs) to tackle complex design and engineering challenges. Your mission will involve collaborating with a talented team of researchers to establish a robust research agenda centered on simulation and reinforcement learning from verifiable rewards (RLVR). Additionally, you will contribute to the creation of innovative pretraining and mid-training techniques, while also developing and deploying novel benchmarks and reinforcement learning environments.

This position demands strong technical leadership and research engineering skills, with the ability to independently navigate a diverse array of open-ended machine learning challenges. You will thrive in a dynamic environment, adeptly balancing multiple priorities while pushing the boundaries of technical research. If you possess a passion for driving AI advancements and are eager to take on high-impact research endeavors, we invite you to apply for this exciting opportunity.

Responsibilities:

• Exhibit research and technical leadership in the context of exploratory research.

• Construct and maintain robust reinforcement learning training pipelines to scale across multiple, complex tasks.

• Design, develop, and integrate simulation environments for relevant design and engineering challenges.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.

• 10+ years of experience in machine learning engineering, research, or a similar technical role.

• Proficient in Python and familiar with ML frameworks such as PyTorch.

• Demonstrated ability to independently identify, design, and execute medium to large technical features.

• Familiar with software engineering best practices, including version control, testing, and code review.

• Experience in adapting to rapidly changing priorities and working independently.

Preferred Qualifications:

• PhD in Computer Science, AI, or a relevant technical field.

• Proven track record of high-quality research publications in top-tier ML conferences (e.g., ICLR, NeurIPS).

• Experience leading exploratory research projects.

• Domain expertise in challenging design or engineering problems.

Public Compensation:

$219,000/year to $301,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, veteran status, disability, or other legally protected characteristics. We encourage qualified applicants with criminal histories, consistent with applicable laws, to apply. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may utilize AI and machine learning technologies in connection with employment applications.

Meta is dedicated to providing reasonable accommodations for candidates with disabilities during the recruitment process. If you require assistance or accommodations due to a disability, please inform us at the appropriate email address.