Member of Technical Staff, Reinforcement Learning

About Outerport

AI engineering scientists - search PLMs, read drawings, run simulation

Tech description:

Job description:

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

Skills:

Torch/PyTorch, Machine Learning, LLMs