Research Engineer - Safety System, Evaluation and Foundation

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 AI capabilities, ensuring billions of users experience our products and services securely and responsibly.

Research Engineer - Safety System, Evaluation and Foundation 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 PyTorch

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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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$74.04/hour to $217,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity

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