Staff AI Evaluation Scientist

Visa Hunt; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Stock options

Health & wellness

Meals provided

Life & family

Vacation days

Sponsorship support

Team building

Job summary

Reflection Research Lab in San Francisco is seeking a candidate to conduct critical comparative analysis to advance our understanding of model capabilities. You will build and refine evaluation systems that create tight feedback loops between data, evals, and model behavior, and develop generalizable frameworks for reasoning, alignment, and usefulness.

Join a fast-moving startup to translate insights into model improvements, collaborate with pre-training, post-training, and applied teams, and

Qualifications

• 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.

Responsibilities

• 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.

Skills

Statistical analysis

LLM evaluation

Startup mindset

Evaluation frameworks

Collaboration

Job description

Reflection Research Lab in San Francisco is seeking a candidate to conduct critical comparative analysis to advance our understanding of model capabilities. You will build and refine evaluation systems that create tight feedback loops between data, evals, and model behavior, and develop generalizable frameworks for reasoning, alignment, and usefulness.

Join a fast-moving startup to translate insights into model improvements, collaborate with pre-training, post-training, and applied teams, and