Outerport
Posted 133 days agoVerified live 1d ago
Member of Technical Staff, Reinforcement Learning
Brief overview
San Francisco, CAIn-person
$100k–$200k/yrStated range
Reinforcement learningLLM training pipelinesSimulation tools integrationData sourcingModel evaluation and deploymentPythonPyTorchMaterials scienceChemical engineeringEngineering scienceManufacturingSemiconductorsEPC
About the company
Outerportouterport.com
Outerport lets you understand your complex documents faster with chain-of-memory reasoning.
Job description
Summary
Outerport is seeking a Member of Technical Staff with expertise in reinforcement learning. The role involves training reinforcement learning-based LLMs for applications in materials science and engineering, integrating simulation tools, and evaluating models.
Responsibilities
- 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
Skills
- Experience building reinforcement learning-based LLM training pipelines
- 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
- 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
Qualifications
Must Haves
- Experience building reinforcement learning-based LLM training pipelines
- 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
Nice to Haves
- 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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