Sr. Staff Software Engineer, Image AI and Modeling

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

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 any 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.