Output
Engineering
MemberoftheTechnicalStaff,Interpretability
“Member of the Technical Staff, Interpretability at Output. Skills: Model interpretability, Representation analysis, Probing methods. Develop methods for probing model representations. Understand how model encodes biological information”
Industry & Context.
Reverse-engineering; Experiment design; Data analysis
What They're Looking For.
Must Have
2+ years post-doctoral or industry research experience, 5+ years hands-on research and engineering experience, Proficient in Python, Proficient in PyTorch, Experience with large models on GPU infrastructure, Production-quality code, Well-tested and maintainable code, Comfortable working in shared codebases, Version control, Code review
Nice to Have
Background in chemistry, Background in biology, Background in computational biology, Background in biophysics, Experience interpreting ML models, Experience building visualization tools, Experience building analysis tools, Experience with multimodal models, Experience with multimodal representations, Contributed to open-source ML projects
What You'll Do.
Develop methods for probing model representations
Understand how model encodes biological information
Design experiments to identify capabilities
Map model learning about molecular interactions
Map model learning about biological function
Build methods to extract biological understanding
Create tools connecting model internals to concepts
Make model reasoning interpretable
Feed interpretability findings back into model development
Own pipeline from probing experiments to tools
Build robust systems on distributed infrastructure
How You'll Work.
Team & Collaboration
Work closely with pretraining teams; Work closely with generation teams
Applying for this Member of the Technical Staff, Interpretability role?
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