Machine Learning Engineer

Intuitive - Sunnyvale, CA

Full-time - Mid Level

Onsite - Sunnyvale, CA

Miscellaneous Manufacturing

About the position

The Machine Learning Engineer at Intuitive will be responsible for designing and developing software solutions that enhance user interfaces and interactions in robotic-assisted surgery. This role involves collaborating with a team of engineers to create real-time sensing and perception technologies, ensuring the integration of machine learning and computer vision into product development. The position requires a strong focus on algorithm performance and continuous improvement, contributing to the advancement of minimally invasive care.

Responsibilities

• Participate in the design, development, and optimization of computer vision and machine learning based solutions for user interfaces.
• Support tools to facilitate machine learning pipelines and automated workflows.
• Test and maintain large databases of surgical video, system data, and metadata.
• Work closely with research data scientists throughout analysis, visualization, and modeling efforts.
• Develop tools and methods for rigorous testing of algorithms prior to product launch.
• Put models into production and develop tools to monitor product performance in the field.
• Support multiple engineering and analytics teams in collecting, accessing, and analyzing data.
• Study and improve algorithm performance metrics that correlate with user experience.
• Keep current with software/hardware development efforts and understand trends in AI, ML, and Cloud technologies.
• Continuously explore optimal data coverage for various use cases.

Requirements

• Minimum bachelor or master's degree in Computer Science, Software/Computer Engineering, Applied Math, or related field.
• Experience developing computer vision software algorithms.
• Hands-on experience developing computer vision and machine learning systems for products, preferably in medical or regulated industries.
• End-to-end experience with deep-learning-based products, including data engineering and pipelines for model training, deployment, and monitoring.
• Experience with machine learning operations, tools, and workflows.
• Solid understanding of computer vision concepts including multi-view geometry, scene understanding, feature detection, and tracking.
• Experience with one of the major ML frameworks (e.g., PyTorch, TensorFlow).
• Excellent software design, problem solving and troubleshooting skills.
• Excellent understanding of data structures and algorithms.
• Excellent Python, GNU, design pattern, OOP, and C/C++ programming skills.
• Solid mathematical foundation in linear algebra.
• High-level of proficiency with databases in a Linux environment, including creating database schemas.
• Working knowledge of shell scripting and writing applications in Python.
• Working knowledge of Docker and experience with AWS/cloud storage, Linux system, docker and job-scheduler is a plus.
• Excellent teamwork and communication skills (both in oral and written).

Nice-to-haves

• Experience in medical or other regulated industries is a plus.
• Working knowledge of Docker and experience with AWS/cloud storage, Linux system, docker and job-scheduler is a plus.

Benefits

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