Machine Learning Engineer

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

Role

We are looking for a talented individual to join our growing machine learning and data science team to help provide creative ways to develop new technology focused on surgical workflow and performance for next generation robotic surgery platforms.

As a Machine Learning Engineer, you will work at the intersection of machine learning and engineering (i.e., MLOps) to contribute to innovative digital solutions leveraging Surgical AI/ML technologies. Immediate projects and responsibilities may include:

• Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teams
• Developing automated workflows and tools to curate datasets and facilitate training of deep learning models
• Working closely with Machine Learning and Data/Software Engineering teams to develop efficient processes for model development/deployment for various applications.
• Help support and manage a growing cloud infrastructure for MLOps

Qualifications

What you’ll need to be successful:

• M.S. or Ph.D. in computer science, electrical and computer engineering, or related fields.
• Minimum 3 years of industry experience developing productionized code in machine learning, data engineering, or related field for AI applications
• Excellent communication skills both written and verbal
• A desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared reward
• Interest in early research and development through to product roll-out in the fields of surgical AI and surgical robotics
• Hands-on experience with ML frameworks, such as PyTorch, Tensorflow, or similar
• Knowledgeable about MLOps platforms and/or ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
• Experience with MLOps tools like MLFlow, KubeFlow, W&B, etc
• Knowledgeable about kubernetes
• Experience with cloud compute environments such as AWS, GCP, etc
• Experience with both edge and cloud deployments, focused on automation, scalability, and robustness
• Experience with Python and SQL
• Experience with Git e.g github, gitlab, bitbucket, etc
• Ability to travel domestically and internationally (5-10%)

Additional desirable experience:

• Experience with successfully launching ML models into production
• Experience supporting large multi-modality dataset including image/video
• Experience within healthcare
• Experience with federated learning

Additional Information

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

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.

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 salary ranges are listed.