Meta
Research Engineer, Privacy Evals - Meta Superintelligence Labs
$154K–$217K
Menlo Park, CA · Full-time · Posted Sep 28, 2026
- Experience
- 1+ years in ML engineering, LLM research, or a related technical role.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. PhD or Master’s degree in Computer Science or a relevant technical field, or equivalent practical experience, with a focus on privacy and/or safety domains is also listed.
About the job
Develops scalable, reliable privacy and memorization-risk evaluations for Meta’s frontier AI models and agents, informing risk assessments and launch decisions.
What you'll do
- Build and refine evaluations for multimodal and agentic models across pretraining and post-training.
- Develop reusable evaluation pipelines and produce auditable reports and model cards.
- Deliver evaluations end to end and coordinate priorities with research, engineering, policy, and legal teams.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 1+ years of experience in ML engineering, LLM research, or a related technical role.
- Proficiency in Python and experience with machine learning frameworks.
- Experience with technical project delivery, software engineering practices, and large-scale distributed systems and data pipelines.
Nice to have
- Experience developing LLM or multimodal benchmarks, red-teaming AI systems, adversarial machine learning, or abuse prevention systems.
- Relevant peer-reviewed publications; PhD or Master’s degree focused on privacy and/or safety domains, or equivalent practical experience.
Pay
$154,003/year to $217,000/year (base salary)
Tools
Python, NeurIPS, ICML, ICLR, ACL, EMNLP
AI focus
Evaluates and mitigates privacy and memorization risks in frontier AI models and agents across pretraining and post-training.
Model-written summary · the original posting is authoritative