Sr. Staff Software Engineer, Image AI and Modeling

About Carlsmed

Our mission is to improve outcomes and decrease the cost of healthcare for spine surgery. The Carlsmed aprevo® personalized surgery platform is designed to improve the standard of care for spine surgery one patient at a time.

Position Description

The Sr. Staff Software Engineer, Image AI and Modeling, leads the strategy, execution, and clinical validation of Carlsmed’s imaging AI initiatives, focused on transforming raw

medical scans into high-fidelity, clinically accurate 3D models. This role guides

development across multiple imaging modalities (CT, MRI, X-ray), ensures regulatory

compliance, and spearheads future capabilities in multi-modal model fusion.

Key Responsibilities

• Own development of AI-based segmentation and 3D reconstruction pipelines for

CT, MRI, X-Ray, and multi-modal data.

• Design and lead model retraining workflows within a regulatory framework (PCCP,

510(k)).

• Build and curate annotated datasets for spine imaging (CT,MRI, & X-Ray).
• Drive adoption of self-supervised, cross-modal, and generative AI techniques.
• Collaborate with clinical and product development teams to validate anatomical

accuracy.

• Coordinate model performance evaluation, golden dataset strategy, and toolchain

development.

• Collaborate with consultants, ML engineers and imaging scientists.

Qualifications

• D. or M.S. in Biomedical Engineering, Machine Learning, Computer Vision, or

related field.

• At least 8 years in software development, including 5 years focused on building

deep learning models for medical imaging applications (segmentation, registration,

3D reconstruction), using Python-based frameworks.

• Demonstrated proficiency with Python programming and scripting, particularly for

data preprocessing, model development, and workflow automation.•

• Solid background in navigating regulatory environments, including FDA 510(k) and

PCCP submissions.

• Deep familiarity with spinal anatomy or orthopedic imaging workflows is highly

desirable.

• Proven track record leading cross-functional initiatives, collaborating across

clinical, regulatory, and engineering teams.

• Hands-on involvement with synthetic imaging techniques, including GANs and

diffusion models.

• Strong foundation in multi-modal learning and anatomical registration.
• Well-versed in the FDA’s Good Machine Learning Practice (GMLP) principles.

Equal Opportunity Employer

Carlsmed is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Carlsmed is committed to providing reasonable accommodation for candidates with disabilities in our recruitment process. If you need assistance or accommodation due to a disability, please let us know.

Compensation

We are pleased to provide a competitive salary and benefits. Our benefits reflect our investment in the overall health and well-being of our employees and their families. including paying 100% of monthly healthcare, dental and vision insurance premiums, a 401(k) plan with employer matching, and unlimited PTO. The expected pay range is: $170,000 - $200,000 annually plus a bonus opportunity. Compensation may vary based on related skills, experience, and relevant key attributes.