Member of Technical Staff - Evaluations
Reflection AI · San Francisco, CA · London · New York, NY
CHECKED 19H AGO
Frontier labonsite
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