Structure is a leader in computer vision and spatial computing in healthcare. We lead the personalized healthcare revolution, providing our customers with patient-specific knowledge gained through the analysis of the 3MM+ patient scans per year performed using our sensors and SDKs.

Structure is looking for a Senior Machine Learning Data Scientist capable of extracting knowledge from our extensive database of three-dimensional meshes. The successful candidate will have a track-record employing state-of-the-art data analysis tools to extract knowledge from extensive and complex datasets, and experience developing new algorithms and bringing them to production. We are looking for self-starters, capable of making sense of vast amounts of data (labeled and unlabeled) and making recommendations to leadership. This position reports directly to the CTO.

Responsibilities:

Develop, verify and deploy to production Machine Learning algorithms capable of
- 3D Object classification, including real-time, automated segmentation
- Advanced object reconstruction from partial views
- Automated mesh cleaning and completion
- Performing automated recommendations of diagnosis and therapies, based on 3D meshes and extracted metrics
Assist the Infrastructure team in the design and maintenance of Structure’s database
Lead feature-extraction and data labeling efforts, in support of data analysis
Develop and execute Structure’s Machine Learning technology development roadmap

We are looking for someone with:

At least 5 years of experience developing Machine Learning algorithms and taking them to production
M.S. in Data Science, Machine Learning, Computer Science, Software Engineering or related fields, or a combination of education and relevant work experience
Experience working with large three-dimensional datasets
Experience in Python, Keras, TensorFlow, Pytorch, Sckit-learn
Experience using Machine Learning techniques for semantic segmentation
Ability to communicate fluently, in written and oral English

Bonus points if you have experience in the following areas:

Experience developing algorithms for medical applications
Experience in Computer Vision
Knowledge of C++
Experience with NeRF and Instant NeRF
Experience with Photogrammetry and its application to object reconstruction
Solid mathematical background, especially in statistics and linear algebra
PhD in a related field

Work Culture:

We expect

Great teamwork and interpersonal skills, strong written and verbal communication skills, proactive attitude, and a drive for results
Demonstrated creative problem-solving approach and strong analytical and troubleshooting skills
Proven ability to work well with others in a fast paced, iterative development environment
Attention to detail

Location:

This position is located at Structure’s R&D center in Boulder, Colorado, USA. Expect a hybrid work environment, with the opportunity to work remotely, and at company facilities, as dictated by the work requirements.

Compensation:

Base salary ranging from $140,000 to $190,000, depending on experience and skill.

Other benefits:

Health care, dental, vision, parental leave, employee assistance program, life insurance, flexible working hours, and 401k.

Structure is an equal opportunity employer and does not discriminate based on race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. We are committed to providing an inclusive and welcoming environment to our employees and welcome input from candidates and employees on how we can enhance our inclusiveness.