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Member of Technical Staff - Evaluations

Reflection AI · San Francisco, CA · London · New York, NY

CHECKED 19H AGO

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At a glance

Highlights

  • Build evaluation frameworks capturing reasoning, alignment and usefulness.
  • Create tight feedback loops linking data, evals and model behavior.
  • Push measurable limits from synthetic evals to real-world interaction.

What they offer

  • Top-tier compensation: salary and equity structured to recognize and retain talent globally
  • Stock options for everyone who joins and contributes to Reflection's success
  • Comprehensive medical, dental, vision, and life insurance with annual wellness allowance
  • Lunch and dinner provided in the office daily
  • 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys
  • Unlimited paid time off in the U.S. and 30 days in the U.K.
  • Visa sponsorship support with long-term immigration pathways where applicable
  • Regular off-sites, happy hours, and team celebrations

Ideal candidate

High-agency, collaborative researcher excited by frontier open models who thrives in fast startups and cares deeply about rigorously measuring capabilities to drive real model improvement.

Requirements

  • Strong statistical analysis and experimental design skills to rigorously measure model improvements
  • Familiarity with LLM evaluation methodologies: static benchmarks, human preference evals, and/or agentic tasks
  • High agency and thrive in a fast-paced startup environment with bias for impact over process
  • Excited to work in a new frontier lab defining how to measure and accelerate progress toward more capable models
  • Collaborative, detail-oriented, and motivated by building feedback loops that make models truly improve
visa sponsorship
We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable

Lab profile

About Reflection AI

Research lab making intelligence open and accessible for everyone to use, customize, and build on.

What they build

  • Open foundation models
  • Aligned general agents
  • Enterprise AI deployments

Known for

  • Frontier model pre-training
  • Post-training and alignment
  • Distributed training infrastructure
  • Secure cloud platform foundations
More about Reflection AI →
Apply on the lab’s site ↗