About the role: Lumafield has the world's largest dataset of real manufactured products. Encoded into this dataset are deep representations of design and manufacturing rules. Automating manufacturing is a key pillar in Lumafield's ultimate vision to transform all of design and manufacturing.
As an Applied Research Scientist, Manufacturing, you will lead technical development of our manufacturing automation capabilities. This is a uniquely applied role: you will wear steel toed boots while writing code in manufacturing facilities.
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.
$210,000 - $230,000 a year
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!
Reach out if you want to be a part of what we are building.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
