Research Scientist at Valence Labs developing ML models for predicting cellular responses in drug discovery. Building generative models based on massive multiomics datasets with collaborative research.
About the role
- Researcher at nonprofit METR focusing on understanding AI capabilities and risks. Engaging in various projects related to AI assessment amid a collaborative research culture.
Responsibilities
- We're seeking a researcher to help us better understand AI capabilities.
- Previous work in this vein includes agent time horizons, a commonly-used metric for measuring AI progress, and RCTs on open-source developer productivity.
- Lead a project investigating transcripts as a source of evidence about agent capabilities.
- Improve METR's time-horizon metric to make it more externally valid, more interpretable, and more predictive on threat-model relevant capabilities.
- Design and build experiments testing agent capabilities in the wild.
- Lead large-scale human-subjects experiments measuring the impacts of AI agents on economically-valuable R&D.
Requirements
- You can write code. At the very least, you should be able to quickly write a write a data analysis script in Python to answer an important question. Bonus points if you can write a clean PR too.
- You're excited to get your hands dirty. METR researchers often interact with LLMs in a wide variety of scenarios, read lots of agent transcripts, and closely review human outputs (e.g. video recordings of developers in our productivity RCT).
- You are undaunted by open-ended mandates. You can take a confusing or ill-posed question and produce insightful and helpful frameworks/proposals/results.
- You should be able to read, understand, and critique a research proposal. You're able to understand how particular projects fit into METR's overall mission.
- You're a good written communicator. Bonus points if you can write a great paper.
- You work fast and are highly reliable.
Benefits
- $21k referral bonus
Job title
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Degree requirement
No Education Requirement
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