CV/ML Engineer
On-site
Full Time
#Product
#Python
#Experiment Design
#Computer Vision
#Data Science
At Lumafield, we are transforming how complex products are manufactured and understood. Since our founding in 2019, we have introduced the world's first accessible X-Ray CT scanner, paired with cloud-based software that allows engineers to inspect their work inside and out. Our mission is to provide unprecedented visibility into products through AI-driven tools that identify issues and generate actionable data. We are a team of researchers, designers, and startup veterans backed by leading venture capital firms like Kleiner Perkins and Lux Capital. We are currently looking for a junior-level Computer Vision and Machine Learning Engineer to join our on-site team in the United States.
Key outcomes
- Develop a comprehensive understanding of CT and image data quality.
- Create and manage a library of test scans that effectively represent real-world customer challenges.
- Collaborate with product managers to establish clear acceptance criteria for performance testing.
- Design and implement automated test harnesses for our machine learning models and algorithms.
- Design and execute experiments to refine and characterize new algorithms within the Voyager data processing pipeline.
Requirements
- A Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Proficiency in Python and standard scientific computing libraries such as Pandas, Numpy, and Scipy.
- A scientific mindset with the ability to conduct clean, rigorous experiments.
- Strong communication skills, including the ability to present technical work clearly.
- A detail-oriented approach with the ability to iterate on prototypes independently.
- Legal authorization to work in the United States, as we are unable to provide visa sponsorship.
Preferred qualifications
- Experience working with computer vision, imaging, or spatial data workflows involving voxels, meshes, or point clouds.
- A background in physics, applied sciences, or engineering.
- Prior experience with experiment design and data science practices.
Compensation
We provide a comprehensive benefits package designed to support our employees. This includes 401k plans, flexible hours, commuter benefits, and paid time off. We also offer competitive cash and equity compensation, along with health and wellness stipends, parental leave, and regular company-wide events.
How to apply
If you are passionate about our technology and eager to contribute to our mission, we invite you to apply. We value diverse perspectives and encourage you to reach out even if you do not meet every single requirement listed. We look forward to hearing from you.
