About Lumafield :
The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.
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 Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems.
You will work closely with our CT experts to understand our 2D and 3D datasets and data characteristics to design strategies that allow us to identify if the items we are scanning in our Neptune and Triton systems meet our customers’ quality criteria.
Successful techniques will include analytic, computer / machine vision, and machine learning approaches.
What you'll do :
- Build algorithms and models to turn 2D and 3D datasets from Lumafield Neptune and Triton systems into decision-making platforms to meet our customers’ needs
- Develop and improve models for segmentation, classification, anomaly detection, and more
- Guide the machine learning strategy internally and set Lumafield up for success on both customer-specific and generalized use cases
- Implement production-ready code in Python for deployment onto our cloud and edge systems
- Work closely with multi-disciplinary stakeholders across Engineering to design solutions and approaches to our toughest problems
About you :
- PhD in Computer Vision, Machine Learning, Robotics, or related field
- 3+ years of experience applying machine learning in industry
- Are a phenomenal technical communicator who can collaborate across discipline boundaries
- Experience shipping Python code to production environments
- Experience with Data Science techniques in professional environments
Bonus points for :
- Postdoc in Computer Vision, Machine Learning, Robotics or related field
- Track record of well-cited / awarded publications on relevant topics
- Experience with algorithmic optimization in C / C++
- Familiarity with techniques applied in medical imaging (CT, MRI) or other inverse problems
Salary : $160,000 - $200,000 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!
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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