Research Engineer - Safety System and Foundations Job Bellevue area,Washington USA,IT/Tech

Summary

Meta is seeking Research Engineers to join the Safety System and Foundations team within Meta Superintelligence Labs, dedicated to advancing the safe development and deployment of Superintelligent AI. Our mission is to pioneer robust and foundational safety techniques that empower Meta’s most ambitious AI capabilities, ensuring billions of users experience our products and services securely and responsibly.

Responsibilities

Design, implement, and evaluate novel, systemic, and foundational safety techniques for large language models and multimodal AI systems

Create, curate, and analyze high-quality datasets for safety system and foundations

Fine‑tune and evaluate LLMs to adhere to Meta’s safety policies and evolving global standards

Build scalable infrastructure and tools for safety evaluation, monitoring, and rapid mitigation of emerging risks

Work closely with researchers, engineers, and cross‑functional partners to integrate safety solutions into Meta’s products and services

Lead complex technical projects end‑to‑end

Minimum Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

PhD in Computer Science, Machine Learning, or a relevant technical field

3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training

Experience as a technical lead on a team and/or leading complex technical projects from end‑to‑end

Publications at peer‑reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)

Programming experience in Python and hands‑on experience with frameworks such as Py Torch

Preferred Qualifications

Hands‑on experience applying state‑of‑the‑art techniques to build robust AI system solutions for safety and policy adherence

Experience developing, fine‑tuning, or evaluating LLMs across multiple languages and capabilities (text, image, voice, video, reasoning, etc.)

Demonstrated experience to innovate in safety foundational research, including custom guideline enforcement, dynamic policy adaptation, and rapid hotfixing of model vulnerabilities

Experience designing, curating, and evaluating safety datasets, including adversarial and borderline prompt cases

Experience with distributed training of LLMs (hundreds/thousands of GPUs), scalable safety mitigations, and automation of safety tooling

Public Compensation

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affinity Action employer. 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.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

#J-18808-Ljbffr


Increase/decrease your Search Radius (miles)



Job Posting Language