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Member of Technical Staff, Reinforcement Learning

Outerport

San Francisco, CAFull-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

The role involves building reinforcement learning‑based LLM training pipelines for materials science, chemical engineering, and engineering science, integrating simulation tools and hardware, sourcing vendor data, and evaluating, testing, and deploying models while collaborating with the founding team.

Skills & qualifications

RequiredNice to have

Skills

Torch/PyTorchMachine LearningLLMsPythonPyTorchReinforcement LearningSimulation ToolsCAEEDA ToolsStrong CommunicationGood Visual TasteScrappy

Qualifications

Industry Experience or Projects Working on Hard Problems in Machine Learning (With Python / PyTorch)Publication Record in Venues Like ICLR, NeurIPS, ICML, and Others

Full 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

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