Research Engineer - MSL FAIR Foundations

Responsibilities

• Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
• Develop and implement evaluation environments for novel model capabilities and modalities across text, vision, and audio
• Collaborate with external data vendors to source and prepare high-quality evaluation datasets
• Execute 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

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 4+ 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
• Demonstrated experience in software engineering practices including version control, testing, and code review
• Ability to work independently and adapt to rapidly changing priorities

Preferred Qualifications

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

About the Company

Meta builds technologies that help people connect, find communities, and grow businesses. As we move beyond 2D screens toward immersive experiences like augmented and virtual reality, we are shaping the next evolution in social technology.