Member of Technical Staff, Reinforcement Learning

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