Applied Research Scientist, Agents

Lumafield
San Francisco, CA
On-site

Who this role is best for

Geared toward experienced AI practitioners comfortable with deploying vision-based models in manufacturing. This is a full-time, in-person role requiring strong collaboration with product and engineering teams.

Best fit for

  • Experienced AI researchers with a track record of deploying perception models in industrial settings
    — “Experience in design, manufacturing, or hardware.”
  • Candidates with a deep understanding of LLMs, VLMs, and vision transformers who can translate theory to real-world applications
    — “Have a robust understanding of the fundamentals of LLMs, VLMs, and vision transformers.”

Things to consider

  • The role demands a high level of technical communication, especially with cross-functional teams
    — “Are an excellent technical communicator.”
  • Geographic flexibility is important, as the company has offices in San Francisco and Cambridge
    — “Lumafield is headquartered in San Francisco, CA. and has an office in Cambridge, MA.”

How to stand out

  • Highlight experience with real-world deployment of AI models, especially in perception tasks
    — “Develop harnesses and build real, deployed agents that our customers use.”
  • Emphasize domain-specific model training and evaluation skills in your resume and interview responses
    — “Develop evaluations that predict real world agent performance accurately.”
  • Showcase your ability to fine-tune models on specialized data and your understanding of AI as a leveraged tool
    — “Fine tune and post-train models on domain-specific data and tasks.”
  • Demonstrate your capability to rapidly prototype and iterate on complex technical problems
    — “People are often surprised by how fast you can build a prototype.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate evaluations of real-world agent performance
  • partnership with product and engineering
Typical background
5-10 years of experience in machine learningadvanced degree in relevant field

Skills & requirements

Required

LlmsVlmsPerception EncodersModel Fine-tuningAi-driven Tools

Preferred

DesignManufacturingHardware

Stack & domain

PythonLlmsVlmsVision TransformersCuriosityAttention To DetailRigorous EmpiricismManufacturingHardware

About the role

Original posting from Lumafield via Lever

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. 

What you'll do::

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

About you::

  • Are curious, detail-oriented, and a rigorous empiricist.
  • People are often surprised by how fast you can build a prototype.
  • Have a robust understanding of the fundamentals of LLMs, VLMs, and vision transformers. 
  • Are adept at using AI for leverage, not as a substitute for depth of understanding.
  • Have strong python, data, and algorithms foundations.
  • Are an excellent technical communicator. 
  • 5-10 years of experience in a relevant field.

Bonus::

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

Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! 

Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!  

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. 

Reach out if you want to be a part of what we are building.

Source: Lumafield careers (Lever)

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