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

Interview Process

1. Initial screening (background, past experiences, etc)
2. Technical Challenge (interview) + in some cases, follow-up system design interview
3. Paper Presentation (group interview)
4. (In some cases) Work trial