Member of Technical Staff, Reinforcement Learning
Member of Technical Staff, Reinforcement Learning at Outerport — San Francisco, CA, US
- Company: Outerport
- Location: San Francisco, CA, US
- Employment type: FULL_TIME
- Salary: USD 100000–200000 / year
- Posted: 2026-07-17
About this role
We’re looking for candidates with experience building reinforcement learning-based LLM training pipelines.
As part of our founding team you may:
Train reinforcement learning-based LLMs to solve tasks in the domain of materials science, chemical engineering, and engineering science
Integrate simulation tools and real hardware to collect data
Work with and source data from vendors
Evaluate, test, and deploy models
Qualifications (none of these are hard requirements)
Industry experience or projects working on hard problems in machine learning (with Python / PyTorch)
Being scrappy (getting things done, over theoretical soundness)
Publication record in venues like ICLR, NeurIPS, ICML, and others
Good visual taste / an appreciation for aesthetics
A reputation for having an “engineering mindset”
Strong communication skills
Experience working with various engineering simulation tools (e.g. CAE, EDA tools)
Interest in manufacturing, engineering, EPC, semiconductors, materials science