Why You're a Fit
Job Description
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 (Domino Data Labs) 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.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
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 compensation ranges are listed.