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Member of Technical Staff - Safety

Reflection· Research
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San Francisco, CA, London, New York, NYFull-timePosted 9mo ago

About the role

Research-focused role owning red-teaming, adversarial evaluation, and safety governance for Reflection’s models; ensures releases meet risk thresholds, develops scalable safety benchmarks, and advances jailbreaking defenses in a fast-paced AI safety environment.

Responsibilities

  • Own the red-teaming and adversarial evaluation pipeline for Reflection’s models, continuously probing for failure modes across security, misuse, and alignment gaps.
  • Work hand-in-hand with the Alignment team to translate safety findings into concrete guardrails, ensuring models behave reliably under stress and adhere to deployment policies.
  • Validate that every release meets the lab’s risk thresholds before it ships, serving as a critical gatekeeper for our open weight releases.
  • Develop scalable, automated safety benchmarks that evolve alongside our model capabilities, moving beyond static datasets to dynamic adversarial testing.
  • Research and implement state-of-the-art jailbreaking techniques and defenses to stay ahead of potential vulnerabilities in the wild.

Qualifications

  • Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience in AI Safety.
  • Deep technical understanding of LLM safety, including adversarial attacks, red-teaming methodologies, and interpretability.
  • Strong software engineering capabilities with experience building automated evaluation pipelines or large-scale ML systems.
  • Experience with Reinforcement Learning (RLHF/RLAIF) and how it impacts model safety and alignment is a strong plus.
  • Thrive in a fast-paced, high-agency startup environment with bias toward action.
  • Willing to make high-stakes decisions regarding model release and safety thresholds.
  • Passionate about advancing the frontier of intelligence.

Skills

Required:Red-teaming and adversarial evaluationLLM safety and interpretabilityAutomated evaluation pipelines
Nice to have:RLHF/RLAIF

Benefits

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
  • Meals: Lunch and dinner are provided in the office daily.
  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
  • Team building: We have regular off-sites, happy hours, and team celebrations.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Reflection

Building frontier open intelligence

Building frontier open intelligence.

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