Staff Machine Learning Engineer

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

About This Opportunity:

As a Staff Machine Learning Engineer, you will be responsible for driving the design, development, and deployment of novel machine learning solutions for pathology image analysis.  You will work with alongside research, engineering, regulatory, and clinical teams to develop and test algorithms and translate them into robust, validated, and scalable medical device software.  The ideal candidate will have a proven track record of leading efforts to build and deploy cutting-edge deep learning models on large-scale image data. Ability to work in person in San Carlos, CA office is preferred.

Responsibilities:

• 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

 

Required Qualifications:

• PhD or Master’s degree in Computer Science or related field with a focus on ML/CV
• 7+ years of industry experience developing and deploying ML models or 4+ years of industry experience with a PhD
• Previously deployed CV/ML projects to users/customers
• Strong background in deep learning for computer vision
• Expert knowledge of the latest machine learning approaches for image analysis
• Able to read, understand and implement the latest algorithms from research papers
• Able to implement and experiment with own architecture ideas
• Fluent in Python and experience with ML frameworks and models (Pytorch, Yolo, etc.)
• Experience with distributed training and cloud-based ML workflows
• Experience with large-scale image datasets

Preferred Qualifications:

• Experience with pathology whole-slide images or biomedical image analysis
• Familiarity with multimodal data integration (imaging + clinical / molecular data)
• Expertise in industrial-scale ML engineering, including model deployment for real-time inference, GPU/throughput optimization (e.g., TensorRT, ONNX Runtime, mixed precision), and building scalable, production-ready ML pipelines with MLOps best practices
• Familiarity with containerized deployments (Docker, Kubernetes) and scaling ML systems in production
• Experience with CI/CD and MLOps pipelines for automated model deployment and monitoring
• Track record of leading CV/ML projects from conception through deployment
• Published research in the CV/ML domain

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees
who are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s
start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. 

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

This position may be filled at a different job level than listed here depending on

business need and/or on the selected candidate’s experience, knowledge and skills.

Compensation will be based primarily on the job level at which the role is filled and the

candidate’s qualifications, consistent with applicable law.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.