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