Research Scientist - Post Training

The role

You will design and run training experiments to isolate the impact of datasets on model behavior. This includes SFT and RL-based post-training to measure shifts in capability, generalization, and alignment.

What you will do

• 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.

Required 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.

Nice to have

• Undergrad research or master's research (but haven't done a phd).
• Genuine obsession with how data structure, selection, and quality drive model behavior.

Benefits

• Medical, Vision, Dental
• 401(k) with Employer Match
• Daily UberEats Stipend
• Monthly Wellness Stipend

About the company

AfterQuery is an applied research lab curating data solutions for foundation model development. They serve frontier AI labs to deliver data that powers models.