AI Research Scientist - FAIR, MSL

Summary:

Meta is seeking a Research Scientist to advance core machine learning research that powers products and systems at global scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling and large-scale model training. You will work alongside a team of researchers and engineers to translate foundational ML advances into real-world impact across Meta's AI-driven products and platforms. This is an opportunity to contribute to the scientific community through publications while building systems that shape how billions of people experience AI.

Required Skills:

AI Research Scientist - FAIR, MSL Responsibilities:

1. Design and conduct original machine learning research in areas such as deep learning, generative models, representation learning, or optimization

2. Develop, implement, and evaluate novel ML algorithms and model architectures using large-scale training infrastructure

3. Translate research findings into production-ready systems in collaboration with engineering and product teams

4. Run controlled experiments to test research hypotheses and make data-driven decisions about model design and training strategies

5. Contribute to the preparation and submission of research papers to peer-reviewed venues and conferences

6. Participate in code reviews and maintain high standards for research code quality, reproducibility, and documentation

7. Instrument experiments with appropriate logging, monitoring, and evaluation metrics to understand model behavior at scale

8. Collaborate with cross-functional partners including data scientists, engineers, and product teams to identify high-impact research directions

9. Identify and address performance bottlenecks in model training and inference pipelines

10. Provide technical feedback to peers through design reviews, experiment critiques, and research discussions

Minimum Qualifications:

Minimum Qualifications:

1. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

2. 2+ years of experience conducting machine learning research, including developing and evaluating novel ML models or algorithms

3. Experience implementing machine learning systems in Python and at least one deep learning framework such as PyTorch

4. Experience designing and running experiments to validate research hypotheses, including statistical analysis of results

5. Experience communicating research findings in written form, such as technical reports, papers, or internal documentation

Preferred Qualifications:

Preferred Qualifications:

1. Experience training or fine-tuning large-scale models on distributed compute infrastructure

2. Familiarity with research areas such as self-supervised learning, reinforcement learning or efficient model architectures

3. Experience bridging research prototypes and production ML systems in a collaborative engineering environment

4. Publication record at peer-reviewed machine learning venues such as NeurIPS, ICML, ICLR, CVPR, or equivalent

Public Compensation:

$122,000/year to $181,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon 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, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].