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Research Engineer - MSL FAIR Foundations jobs in United States
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Meta · 2 weeks ago

Research Engineer - MSL FAIR Foundations

Meta is seeking Research Engineers to join the Evaluations team within Meta Superintelligence Labs. In this role, you will curate and build benchmarks for advanced AI models and work alongside researchers and engineers to develop and deploy novel evaluation environments.
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Comp. & Benefits

Responsibilities

Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
Develop and implement evaluation environments, including environments for novel model capabilities and modalities
Collaborate with external data vendors to source and prepare high-quality evaluation datasets
Execute on the technical vision of research scientists designing new benchmarks and evaluations
Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

Qualification

Machine LearningPythonPyTorchSoftware Engineering PracticesVersion ControlTestingCode ReviewReinforcement Learning EnvironmentsEvaluation BenchmarksLarge Language ModelsMultimodal ModelsDistributed SystemsData Pipelines

Required

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
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
1+ years of experience in machine learning engineering, machine learning research, or a related technical role
Proficiency in Python and experience with ML frameworks such as PyTorch
Experience identifying, designing and completing medium to large technical features independently, without guidance
Demonstrated experience in software engineering practices including version control, testing, and code review practices
Ability to work independently and adapt to rapidly changing priorities

Preferred

Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments
Experience implementing or developing evaluation benchmarks for large language models and multimodal models (e.g., vision-language, audio, video)
Experience working with large-scale distributed systems and data pipelines
Familiarity with language model evaluation frameworks and metrics
Track record of open-source contributions to ML evaluation tools or benchmarks

Benefits

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Company

Meta is a social technology company that enables people to connect, find communities, and grow businesses.

Funding

Current Stage
Public Company
Total Funding
$79.59B
Key Investors
Blue OwlPIMCOValueAct Capital
2026-04-30Post Ipo Debt· $25B
2025-08-08Post Ipo Equity· $3B
2025-08-08Post Ipo Debt· $26B

Leadership Team

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Andrew Bosworth
Chief Technology Officer
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Susan Li
Chief Financial Officer
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Company data provided by crunchbase