2 months ago
Base Salary
$195k - $330k/yr
Responsibilities
- Design, train, and evaluate deep learning models for semantic understanding of surgical scenes, including dense segmentation and structure detection from endoscopic imagery.
- Develop structured modeling and inference approaches using statistical modeling, optimization, and related algorithms for complex real-world data.
- Develop machine learning components that meet real-time performance constraints.
- Own the model lifecycle from research prototype through production, including architecture design, large-scale training, optimization, and integration with the da Vinci C++ software stack.
- Optimize and deploy models using ONNX, TensorRT, mixed-precision, and related techniques.
- Define clinically meaningful evaluation metrics and statistical validation frameworks for medical device regulatory submissions.
- Collaborate with surgeons, clinical scientists, and human factors engineers to translate clinical needs into technical requirements.
- Partner with systems and software engineering teams to meet latency, memory, and reliability requirements on embedded robotic platforms.
- Mentor junior engineers and research scientists and establish best practices for experiment tracking, model validation, and reproducible research.
- Contribute to intellectual property development through invention disclosures and patent filings.
Requirements
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Biomedical Engineering, Applied Mathematics, or a closely related field, with relevant graduate training.
- At least 5 years of post-Ph.D. or 7 years of post-M.S. industry or applied research experience developing and shipping ML systems.
- Deep expertise in visual recognition and semantic, object, and/or instance segmentation using modern vision architectures.
- Strong foundation in probabilistic modeling and Bayesian inference, including graphical models, nonlinear optimization, or MAP estimation.
- Proficiency in 3D geometry and spatial reasoning, including coordinate transformations, rotation representations, registration, and camera projection models.
- Hands-on production C++ development and ability to navigate large codebases, prototype with build systems, debug components, and interface ML models with C++ stacks.
- Experience optimizing and deploying models for latency-sensitive or embedded applications using ONNX, TensorRT, quantization, mixed-precision inference, or equivalent toolchains.
- Expert-level Python and PyTorch or an equivalent deep learning framework, with familiarity with NumPy, SciPy, and large-scale scientific computing.
- Strong software engineering fundamentals, including version control, testing, code review, reproducible experiment management, and collaborative development.
- Publications or patents in computer vision, medical image analysis, surgical data science, robotics perception, probabilistic modeling, or related areas.
- Preferred experience includes medical image analysis, clinical imaging modalities, annotation pipelines, statistical shape modeling, 3D computer vision, numerical optimization, and regulated medical-device ML development.
- Preferred regulated-environment experience includes FDA, ISO 13485, IEC 62304, design controls, verification and validation, and statistical testing plans.
Benefits
- The role is an employee position with a day shift.
- Work is onsite weekly, with the percentage of onsite work defined by the leader.
- The company provides compensation packages including incentives, benefits, and equity.
- Some roles may require current proof of vaccination against certain diseases, including COVID-19.
Categories
ML EngineeringRobotics
About Intuitive
Intuitive designs and manufactures robotic-assisted systems for minimally invasive procedures used by hospitals and surgeons, including the da Vinci surgical system and the Ion endoluminal platform for lung biopsy. Its business model combines capital equipment sales with recurring revenue from instruments, accessories, software, and service/training contracts. Founded in 1995 and headquartered in Sunnyvale, California, Intuitive is publicly traded on NASDAQ (ISRG) and serves healthcare providers worldwide.