AI Research Scientist - FAIR, MSL

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AI Research Scientist - FAIR, MSL

AI Research Scientist - FAIR, MSL

Menlo Park, CA

Research

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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.

AI Research Scientist - FAIR, MSL Responsibilities

• Design and conduct original machine learning research in areas such as deep learning, generative models, representation learning, or optimization
• Develop, implement, and evaluate novel ML algorithms and model architectures using large-scale training infrastructure
• Translate research findings into production-ready systems in collaboration with engineering and product teams
• Run controlled experiments to test research hypotheses and make data-driven decisions about model design and training strategies
• Contribute to the preparation and submission of research papers to peer-reviewed venues and conferences
• Participate in code reviews and maintain high standards for research code quality, reproducibility, and documentation
• Instrument experiments with appropriate logging, monitoring, and evaluation metrics to understand model behavior at scale
• Collaborate with cross-functional partners including data scientists, engineers, and product teams to identify high-impact research directions
• Identify and address performance bottlenecks in model training and inference pipelines
• Provide technical feedback to peers through design reviews, experiment critiques, and research discussions

Minimum Qualifications

• 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+ years of experience conducting machine learning research, including developing and evaluating novel ML models or algorithms
• Experience implementing machine learning systems in Python and at least one deep learning framework such as PyTorch
• Experience designing and running experiments to validate research hypotheses, including statistical analysis of results
• Experience communicating research findings in written form, such as technical reports, papers, or internal documentation

Preferred Qualifications

• Experience training or fine-tuning large-scale models on distributed compute infrastructure
• Familiarity with research areas such as self-supervised learning, reinforcement learning or efficient model architectures
• Experience bridging research prototypes and production ML systems in a collaborative engineering environment
• Publication record at peer-reviewed machine learning venues such as NeurIPS, ICML, ICLR, CVPR, or equivalent

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $122,000/year to $181,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assista