Machine Learning Engineer

Company Description

At Intuitive, we stand unified behind our purpose: we believe that minimally invasive care enhances life quality. Through ingenuity and smart technology, we broaden the ability of doctors to heal without limitations.

As a foremost innovator and market leader in robotic-assisted surgery, we endeavor to cultivate an inclusive and diverse team, dedicated to making an impact. For over 25 years, we have collaborated with hospitals and caring teams internationally to help solve some of the hardest challenges in healthcare and explore what is possible.

Intuitive has been shaped by the efforts of remarkable individuals from various backgrounds. We believe extraordinary ideas can emerge from anywhere. We aspire to nurture an inclusive culture centered around diverse thinking and mutual respect. We guide with inclusion and empower our team members to deliver their best work as their genuine selves.

Passionate individuals driven to make a difference steer our culture. Our team members exhibit integrity, possess a strong ability to learn, have the drive to accomplish tasks, and bring diverse, authentic experiences that inspire fresh thinking. We actively invest in our team members to foster their long-term development, enabling them to continue advancing our mission and achieve their maximum potential.

Join a team dedicated to making significant strides for a global community of healthcare professionals and their patients. Together, let's enhance the field of minimally invasive care.

Job Description

Role:

We are seeking a skilled professional to augment our expanding machine learning and data science team. This role involves devising creative strategies to develop new technology centered on surgical workflow and performance for next-generation robotic surgery platforms.

As a Machine Learning Engineer, you will function at the crossroads of machine learning and engineering (i.e., ) and contribute to innovative digital solutions utilizing Surgical ML/AI technologies. Initial projects and responsibilities could include:

• Incorporating machine learning into digital products and services by coordinating with engineering, data science, and machine learning teams
• Designing automated workflows and tools to manage datasets and facilitate the training of deep learning models
• Cooperating with Machine Learning and Data/Software Engineering teams to develop procedures for model deployment/monitoring for various applications.
• Refining and evolving frameworks to oversee the lifecycle of model development, from research to production, monitoring, and continuous improvement

Qualifications

What you’ll need to succeed:

• Minimum M.S. or Ph.D. in Computer Science or a related technical area, preferably with at least 2-3 years of relevant industry experience developing production-ready code in machine learning, data engineering, or a similar field
• Superior communication skills, both written and verbal
• Willingness to work in a dynamic, concentrated, small-team environment with a sense of shared responsibility and shared reward
• A curiosity in early research and product development through to product rollout in surgical AI and robotic surgery fields
• Hands-on experience with ML frameworks such as , Tensorflow, or similar
• Understanding of MLOps platforms and/or ML CI/CD workflows to manage datasets, model training, deployment, and monitoring
• Experience with Python and SQL
• Experience with cloud computing environments such as AWS or GCP
• Capability for domestic and international travel (5-10%)

Additional desirable experience:

• Experience with both edge and cloud deployments, focusing on automation, scalability, and robustness
• Experience with successfully launching ML models into production
• Experience in healthcare
• Experience with federated learning
• Experience handling large image/video datasets

Additional Information