As a Staff Machine Learning Engineer at Intuitive, you will drive the design, development, and deployment of novel machine learning solutions for pathology image analysis, working with research, engineering, regulatory, and clinical teams to develop and test algorithms and translate them into robust, validated, and scalable medical device software.
Requirements
- Independently lead projects to conceive, develop, and implement AI/ML approaches to extract novel insights from large-scale microscopy image data sets
- Perform analysis of neural networks, propose and execute experiments to improve key performance metrics
- Update and improve primary machine learning models as more data is generated
- Support software infrastructure and data engineering required to store, annotate, train, and test on large pathology image sets
- Implement semi-supervised and self-supervised methods to reduce image annotation burden
- Collaborate with physicians and product teams to ensure clinical relevance, robustness, and usability of models
- Stay up to date with the latest pathology CV/ML literature, use this to inform research & product direction
- Optimize and validate models for integration into production systems, ensuring performance in real-world clinical settings
- Develop applications to be deployed and scaled
Benefits
- Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity
- Paid time off
- 401k matching
- Retirement plan
- Visa sponsorship (for international candidates)
- Generous parental leave
- Tuition reimbursement