Outerport

Job 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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Outerport lets you understand your complex documents faster with chain-of-memory reasoning. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.