New York, NY · San Francisco, CA +1
Member of Technical Staff - Evaluations
The role
Our Mission
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
About the Role
Conduct critical comparative analysis to advance our understanding of model capabilities
Build and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behavior
Develop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness.
Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements.
Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data.
About You
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; bias for impact over process.
Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models.
Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.
What We Offer:
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
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.
Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice
Published by Reflection AI on their own careers page and reproduced here unedited. Read it at Reflection AI.
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What this listing does not tell you
Listed 296 days, which is longer than most. Of the 114 evals and benchmarks roles this board has watched from listing to removal, 96% were gone from their employer's careers page by day 296, and the median came down after 56 days. That is a description of other listings that have already ended, not a prediction about this one: this board records when a listing disappears, never why, and a posting still up is not on a clock it can see.
Pay is not confirmed for this role. Check the employer’s posting for current compensation. Explore published bands from other roles →
Reflection AI has 17 roles open on this board, 6 of them in evals and benchmarks.
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