Staff Machine Learning Engineer jobs in United States
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Intuitive · 16 hours ago

Staff Machine Learning Engineer

Intuitive is a global leader in robotic-assisted surgery and minimally invasive care, committed to transforming healthcare. As a Staff Machine Learning Engineer, you will drive the design, development, and deployment of machine learning solutions for pathology image analysis, collaborating with various teams to create robust medical device software.

Health CareManufacturingMedical Device
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

Machine LearningDeep LearningComputer VisionPythonML FrameworksLarge-scale Image DatasetsMLOpsCloud-based ML WorkflowsSoft Skills

Required

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

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

Benefits

Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity

Company

Intuitive

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Intuitive designs and manufactures robotic-assisted surgical systems.

H1B Sponsorship

Intuitive has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (339)
2024 (238)
2023 (181)
2022 (285)
2021 (145)
2020 (138)

Funding

Current Stage
Public Company
Total Funding
$5M
Key Investors
St. Cloud Capital
2003-04-30Post Ipo Equity
2000-06-23IPO
1996-01-01Seed· $5M

Leadership Team

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Gillian Duncan
Senior Vice President, Professional Education & Program Services - Worldwide
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Myriam Curet
Executive Vice President & Chief Medical Officer
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Company data provided by crunchbase