Machine Learning Engineer
2 weeks ago
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 DescriptionPrimary Function of Position:
Are you passionate about designing software solutions that enable complex user interfaces and user interactions? We are looking for someone who thrives in a collaborative product development environment and wants to push the boundaries of what is possible in surgical robotics today Join our team of passionate and dedicated software, computer vision and machine learning engineers to develop real-time sensing and perception technologies that support complex human machine interfaces for next- generation robot-assisted surgery platforms.
The successful candidate must excel in a high-energy, focused, small-team environment, and must have a solid track record of taking machine learning, deep learning, and computer vision technologies to product. A sound sense of mutual responsibility and shared reward is required.
As part of the User Interaction Algorithms team, immediate responsibilities include:
- Participate in the design, development, and optimization of computer vision and machine learning based solutions for state-of-the-art user interfaces.
- Support tools to facilitate machine learning pipelines and automated workflows.
- Test and maintain large databases of surgical video, system data, and meta data.
- 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.
- Play a central role in putting models into production and developing tools to monitor product performance in the field.
- Support multiple engineering and analytics teams in collecting, accessing, and analyzing data.
Additional responsibilities include:
- Study and improve algorithm performance metrics that correlate with user experience, and that can be used to drive continuous improvement.
- Keep current with our software/hardware development efforts and understand overall trends in AI, ML and Cloud technologies.
- Continuously explore optimal data coverage for various use cases.
Skill/Job Requirements:
- Minimum bachelor or master’s degree in Computer Science, Software/Computer Engineering, Applied Math, or related field.
- Minimum 4-6 years commercial development experience with strong preference for candidates with medical device products.
- Experience developing computer vision software algorithms.
- Hands-on experience developing computer vision and machine learning systems for products. Experience in medical or other regulated industries is a plus.
- 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).
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 Employment 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.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity.
Base Salary Range Region 1: $155,000 USD - $223,000 USD
Base Salary Range Region 2: $131,800 USD - $189,600 USD
Shift: Day
Travel: None
Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
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