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Lumafield

Industrial CT scanning with AI inspection

Applied Research Scientist - Agents

Applied Machine LearningPosted on Nov 9
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have a robust understanding of the fundamentals of large language models, vision-language models, and vision transformers.
  • Have strong Python, data, and algorithms foundations.
  • Have 5–10 years of experience in a relevant field.

Responsibilities

  • Benchmark local large language models, vision-language models, and perception encoders.
  • Fine-tune and post-train models on domain-specific data and tasks.
  • Develop harnesses and build deployed agents that customers use.
  • Develop evaluations that accurately predict real-world agent performance.
  • Partner with product and engineering to continually improve agents and agentic workflows.

Desired Qualifications

  • Experience in design, manufacturing, or hardware.
  • An advanced degree in machine learning, optimization, or a relevant discipline.
  • Experience with 2D or 3D data and associated perception tasks.

About the Company

Lumafield

Industrial CT scanning with AI inspection

Lumafield provides industrial CT scanning and AI-powered inspection for manufacturing. Its core tools include the Neptune industrial CT scanner and Voyager analysis software, which enable on-line, rapid, high-volume CT scans of products to reveal internal defects. The Atlas AI engine analyzes scan data to give actionable engineering insights, helping teams solve manufacturing challenges and speed up design, build, and shipping. Unlike competitors that offer standalone scanners or software, Lumafield combines hardware (on-line CT) with integrated software and a scalable AI knowledge base, allowing automated defect detection and practical guidance in one workflow. The company aims to help manufacturers improve product quality, cut costs, and shorten time-to-market by providing secure, scalable scanning and analysis services through a mix of equipment sales, software subscriptions, and AI-enabled insights.

Company size
51-200
Company stage
Debt Financing
Total funding
$202.5M
Headquarters
Cambridge, MA
Founded
2019

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