Research Scientist - Post Training
San Francisco$210k - $450k + equityFull-timePosted 5mo ago
About the role
Design and run training experiments to isolate the impact of AfterQuery datasets on model behavior, including SFT and RL-based post-training, and publish findings. Collaborate with partner labs to turn data into defensible evidence and drive high-leverage experimental work.
Responsibilities
- Run controlled SFT and RL experiments to measure the impact of our datasets on model performance.
- Help build public evals and new data types that push the frontier.
- Publish external-facing research, blog posts, and technical reports.
- Work with internal SPLs to iterate on data quality based on your results.
Qualifications
- Strong familiarity with LLM training and evaluation methodologies.
- Ability to design lightweight experiments, move fast, and extract actionable insights from messy results.
- Comfort working across domains (finance, software engineering, policy, and more).
- A bias toward building over theorizing.
Skills
Required:LLM training and evaluationExperimental designCross-domain collaborationPractical data-driven mindset
Nice to have:Communication and publication
Benefits
- Health Insurance: Medical, Vision, Dental
- 401(k) with Employer Match
- Daily Meals: Daily UberEats Stipend
- Monthly Wellness Stipend
Last updated Sep 30, 2026. Interested? Apply on the company site.
About AfterQuery
AfterQuery is an applied research lab curating data solutions to accelerate foundation model development.
AI researchdata solutionsfoundation model developmenttraining datasupervised fine-tuningreinforcement learningagent environmentscomputer use trajectories
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