AI Research Scientist - FAIR, MSL

Meta; Menlo Park (CA); On-site; USD 122,000 - 181,000; Full time

Job summary

Meta in Menlo Park seeks an AI Research Scientist to advance core machine learning research powering products at global scale. You will design and evaluate novel ML algorithms in areas like deep learning, representation learning, generative modeling, and large-scale model training, translating findings into production systems with engineers.

You will publish results, contribute to peer-reviewed venues, and collaborate with cross-functional teams to identify high-impact research directions,

Qualifications

• Bachelor's degree in CS/related field or equivalent practical experience.
• 2+ years of ML research experience developing/evaluating models.
• Experience implementing ML systems in Python and PyTorch.
• Ability to design and run experiments with statistical analysis.
• Strong ability to communicate research findings in writing.

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 logging, monitoring, and evaluation metrics to understand model behavior at scale.
• Collaborate with 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.

Skills

ML research

Python

PyTorch

Experimental design

Research communication

Education

Bachelor's degree

Job description

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.

Meta is proud to be an Equal Employment Opportunity and Aff... 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.

$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.