Hiring.Camp

Applied Research Scientist, Agents

Lumafield

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Salary
$210k – $230k/yr
Location
San Francisco, CA
Workplace
Onsite
Type
Full-time
Department
Product
Experience
5+ years
Source
Lever

Description

About Lumafield: 
 
Lumafield was founded in 2019 to upgrade manufacturing.
 
We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it.
 
Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively.
 
We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again.
 
Lumafield is headquartered in San Francisco, CA. and has an office in Cambridge, MA. 

About the role: 
 
Lumafield’s AI is woven deeply throughout its products and platform.  As an Applied Research Scientist, Agents, you will extend what is possible with Lumafield’s agentic tools. This involves working across the agent stack, from top level harness and eval development down to fine-tuning and pre-training of foundational encoders for spatial reasoning. You will get the chance to work with manufacturing and design data that is not available anywhere else.  

Skills

PythonMachine LearningComputer Vision

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