Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price.
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 are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others.
The company is headquartered in Cambridge, MA and has an office in San Francisco, CA.
About the Role:
As a CV/ML Engineer at Lumafield, you will design and run experiments to characterize new algorithms and automations in Voyager’s data processing pipeline– which powers inspection and analysis for manufacturers around the world. You will work closely with the Product, Engineering, and Research teams at Lumafield to harden algorithms and prepare them for production release. This role is a great fit for somebody early in their career who is looking to develop both engineering and scientific rigor.
About the Role:As a CV/ML Engineer at Lumafield, you will design and run experiments to characterize new algorithms and automations in Voyager’s data processing pipeline– which powers inspection and analysis for manufacturers around the world. You will work closely with the Product, Engineering, and Research teams at Lumafield to harden algorithms and prepare them for production release. This role is a great fit for somebody early in their career who is looking to develop both engineering and scientific rigor.
What you'll do:
Develop a deep understanding of image and CT data quality
Build and curate a library of test scans that highlight real customer challenges
Work with product managers to define acceptance criteria for performance tests
Build automated test harnesses for algorithms and ML models
About you:
Bachelors in CS, Engineering, or a related field
Independent, curious, and detail-oriented
Have a scientific mindset and run clean experiments
Are comfortable iterating and refining a prototype
Have excellent written, verbal, and visual communication skills and are known for the quality of your work
Comfortable in Python and typical scientific computing packages (Pandas, Numpy, Scipy)
Bonus points for:
Experience with computer vision imaging, or spatial data workflows (e.g. point clouds, meshes, voxels)
Background in engineering, physics, or applied sciences
Experience with experiment design and data science
We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.
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.
San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
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