AI Research Scientist, MRS Knowledge
Meta· AI Knowledge (MRS Knowledge)
Menlo Park, CA$154k - $217k + bonusFull-timePosted 4d ago
About the role
Research scientist role focused on core ML research, scalable experimental pipelines, and translating research into Meta's AI systems, with opportunities to contribute to publications and cross-functional collaboration across product, engineering, and infrastructure teams.
Responsibilities
- Design and execute original research in core machine learning, including deep learning architectures, optimization methods, representation learning, or generative modeling
- Develop and maintain high-quality, reusable research code and experimental pipelines to support reproducible and scalable ML research
- Identify and define long-term research directions as well as near-term milestones that align with team and organizational goals
- Analyze experimental results using rigorous statistical and empirical methods to draw actionable conclusions and inform future research directions
- Contribute to publications at top-tier machine learning venues and support open-sourcing efforts that advance the broader research community
- Collaborate with product and engineering teams to translate fundamental research findings into practical improvements in Meta's AI systems
- Establish and improve telemetry, evaluation frameworks, and benchmarks to measure research progress and model quality
- Provide technical guidance and mentorship to other engineers and researchers on the team, sharing expertise through design reviews, research critiques, and knowledge-sharing sessions
- Drive cross-functional research initiatives by coordinating with collaborators across AI infrastructure, product, and applied science teams
- Proactively identify gaps in existing research programs or methodologies and propose improvements to strengthen the team's research output
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of experience in machine learning research, including hands-on work with deep learning, optimization, generative models, or related core ML areas
- Experience developing and publishing novel machine learning approaches at peer-reviewed venues such as NeurIPS, ICML, ICLR, CVPR, or equivalent
- Experience designing and running large-scale ML experiments, including model training, evaluation, and iterative refinement using frameworks such as PyTorch or TensorFlow
- Experience communicating research findings and technical trade-offs in writing to both research and non-research audiences, such as through papers, technical reports, or design documents
- Experience collaborating across research and engineering teams to drive projects from ideation through production impact
Skills
Required:Machine Learning ResearchLarge-scale ML experimentsProgramming and tooling for researchScientific communication
Nice to have:Mentorship
Benefits
- Benefits information provided by Meta site linked in posting
Last updated Oct 23, 2026. Interested? Apply on the company site.
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