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Principal ML/AI Scientist
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SciPro
Sonoma, CA (In Person)
Full-Time
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Job Description
Principal ML/AI Scientist at SciPro Principal ML/AI Scientist at SciPro in Sonoma, California Posted in about 19 hours ago.
Type:
full-timeJob Description:
About the job An established medical device company is seeking a Principal Scientist, AI/ML to help build and scale next-generation AI-enabled technologies focused on procedural imaging, computer vision, and surgical workflow optimization. The organization is investing heavily in AI/ML capabilities as part of a broader initiative tied to procedural video analysis, imaging systems, and physician-facing clinical technologies within the MedTech space. This is a highly hands-on role at the intersection of AI/ML, medical imaging, and product development. The ideal candidate has experience building applied machine learning systems in healthcare or medical device environments and is comfortable operating directly within fast-paced, execution-oriented teams. Key Responsibilities- Own AI/ML model architecture, technical direction, and scientific execution across new product initiatives
- Design and support machine learning pipelines, dataset strategy, validation workflows, and evaluation methodologies
- Partner closely with software engineering, R D, and clinical stakeholders throughout development and deployment
- Help define scalable infrastructure, deployment strategy, and data management processes for AI-enabled systems
- Attend physician visits and procedural environments to better understand workflows, data generation, and real-world product applications
- Drive highly applied AI/ML research focused on product-oriented and commercially scalable outcomes
- Help establish best practices and foundational processes as the organization builds out its AI/ML capability Your Experience
- Strong hands-on experience building and deploying AI/ML systems in healthcare, MedTech, imaging, or related technical environments
- Proven track record bringing products or technologies from development through commercialization
- Experience working with imaging data, computer vision, video analysis, or procedural/surgical datasets is highly preferred
- Ability to communicate effectively across technical teams, leadership, and physician stakeholders
- Advanced degree (PhD preferred) in Biomedical Engineering, Computer Science, AI/ML, Physics, or a related technical discipline
- Comfortable operating in fast-moving, highly collaborative, and execution-driven environments
- Experience within startup or growth-stage MedTech organizations is strongly preferred Additional Details
- Hybrid preferred with approximately 3 days/week on-site
- Travel expected approximately every 2-3 weeks during the first year
- Competitive compensation package including bonus and equity