Applied Research Scientist, Manufacturing

Lumafield
San Francisco, CA
On-site

Who this role is best for

Best suited to technically independent researchers with strong empirical instincts working in advanced manufacturing.

Best fit for

  • Candidates with a background in manufacturing or physical hardware and a strong track record of prototyping novel systems
    — “Are excellent at prototyping and 0-1 problems.”
  • Individuals who can bridge AI development with real-world industrial applications and process automation
    — “Lead technical development of methods to automate manufacturing processes like die casting, injection molding, CNC machining, and more.”
  • Candidates with experience in scientific computing and simulation who can design and execute experiments autonomously
    — “Have strong instincts for experiment design and are deeply empirical.”

Things to consider

  • The role involves frequent travel to customer manufacturing sites globally, which may affect work-life balance.
    — “Travel to customer manufacturing sites all around the world.”
  • The position demands a high level of autonomy and initiative in unstructured problem-solving scenarios.
    — “Are extremely independent and can give unstructured problems structure and direction.”

How to stand out

  • Highlight your experience in integrating AI with physical systems and automation in your resume and interview responses.
    — “Integrate robots, manufacturing equipment, and CT scanners in our SF manufacturing lab.”
  • Showcase your empirical approach to problem-solving and your track record of iterative experimentation.
    — “Design experiments, implement them, and iterate until you have a manufacturing process autonomous.”
  • Demonstrate your proficiency with scientific computing and simulation tools in your resume and portfolio.
    — “Are well-versed in scientific computing and simulation packages.”
  • Include any relevant projects or work in BREP/analytical geometry or CAD kernels to align with the role’s technical needs.
    — “Familiarity with BREP/analytical geometry or CAD kernels.”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

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

What success looks like

  • lead technical development of methods to automate manufacturing processes
  • design and implement experiments for manufacturing process autonomy
  • integrate robots and manufacturing equipment
Typical background
applied machine learning and optimization experiencemanufacturing experience

Skills & requirements

Required

Applied Machine LearningOptimizationExperiment DesignAi-driven ToolsScientific ComputingManufacturing Process AutomationIntegration Of Manufacturing Equipment

Preferred

Advanced Degree In Machine Learning Or OptimizationBackground In Design, Manufacturing, Or Physical HardwareFamiliarity With Brep/analytical Geometry Or CAD KernelsPLC Programming Experience

Stack & domain

Manufacturing ProcessesDie CastingInjection MoldingCNC MachiningRobotsManufacturing EquipmentCT ScannersWeb-based CollaborationAi-driven ToolsQuantitative DataIndustrial CT ScanningX-ray CaptureComputer Vision AnalysisAIMachine LearningOptimizationExperiment DesignScientific ComputingSimulation PackagesBREPAnalytical GeometryCAD KernelsPLC ProgrammingLeadershipCommunicationProblem-solvingTeamworkCustomer DiscoveryStakeholder CommunicationCross-functional FacilitationFinanceHealthcare

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::

  • Lead technical development of methods to automate manufacturing processes like die casting, injection molding, CNC machining, and more.
  • Design experiments, implement them, and iterate until you have a manufacturing process autonomous. 
  • Integrate robots, manufacturing equipment, and CT scanners in our SF manufacturing lab
  • Interface with customers to define pilot programs. 
  • Travel to customer manufacturing sites all around the world. 

About you::

  • Are excellent at prototyping and 0-1 problems. 
  • Have applied machine learning and optimization experience. 
  • Have strong instincts for experiment design and are deeply empirical. 
  • Are AI native and can apply the tools with high leverage. 
  • Are well-versed in scientific computing and simulation packages.
  • Are extremely independent and can give unstructured problems structure and direction. 
  • 5-10 years of experience in a relevant technical field. 

Bonus::

  • Advanced degree in machine learning, optimization, or a relevant discipline.
  • Background or experience in design, manufacturing, or physical hardware.
  • Familiarity with BREP/analytical geometry or CAD kernels.
  • PLC programming experience. 
  • A portfolio of work that you can share that is relevant to this role. 

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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