Machine Learning Engineer
Machine Learning Engineer
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1 Vacancy
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 crossfunctionally 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 youll 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 highenergy focused smallteam environment with a sense of shared responsibility and shared reward
- Interest in early research and development through to product rollout in the fields of surgical AI and surgical robotics
- Handson 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 510
Additional desirable experience:
- Experience with successfully launching ML models into production
- Experience supporting large multimodality 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 COVID19. 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 marketcompetitive 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
