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Machine Learning Engineer - job 1 of 3

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

Primary 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

Qualifications

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)

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 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. 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.

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. 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.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Machine Learning Engineer, Intuitive

At Intuitive, we're searching for a talented Machine Learning Engineer to join our innovative team in Sunnyvale, CA! If you're passionate about transforming surgical robotics through cutting-edge software solutions, this opportunity could be your perfect fit. In this role, you'll collaborate with a dynamic team of software, computer vision, and machine learning engineers to design real-time sensing and perception technologies that enhance user interactions in next-generation robot-assisted surgery platforms. You’ll utilize your expertise in machine learning and deep learning to develop solutions that revolutionize minimally invasive procedures. Your experience in product development, especially in medical devices, will be a great asset as you tackle challenges like optimizing algorithms and maintaining large datasets of surgical videos. We're looking for someone who thrives in a high-energy environment and is eager to contribute to the evolution of healthcare technology. With Intuitive, you'll not only get to work alongside passionate individuals but also enjoy a workplace that values diversity of thought and inclusivity. Your contributions will directly support our mission to enhance care and improve patient outcomes around the globe. If you're ready to take on this exciting challenge and help shape the future of healthcare, we would love to hear from you!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Intuitive
What responsibilities does a Machine Learning Engineer have at Intuitive?

As a Machine Learning Engineer at Intuitive, you'll be engaged in designing, developing, and optimizing computer vision and machine learning solutions for advanced user interfaces. This includes testing and maintaining large databases of surgical data, collaborating with research scientists for analysis, and actively participating in algorithm deployment and performance monitoring.

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What qualifications are needed for the Machine Learning Engineer position at Intuitive?

To qualify for the Machine Learning Engineer role at Intuitive, candidates should possess a Bachelor's or Master's degree in Computer Science, Software Engineering, Applied Math, or a related field. A minimum of 4-6 years of commercial development experience, particularly in medical device products, is also preferred, along with expertise in deep learning frameworks like PyTorch or TensorFlow.

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What programming skills are necessary for Machine Learning Engineers at Intuitive?

Machine Learning Engineers at Intuitive should have excellent programming skills in Python, C/C++, and a sound understanding of data structures and algorithms. Familiarity with machine learning operations and experience in creating database schemas in a Linux environment are also crucial for success in the role.

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How can a Machine Learning Engineer contribute to the culture at Intuitive?

Intuitive values a culture built on inclusion and diversity of thought. As a Machine Learning Engineer, you will contribute to this culture by collaborating with team members, sharing innovative ideas, and engaging in mutual respect. Your unique perspective will help drive continuous improvement and the development of advanced technologies that benefit healthcare professionals and patients alike.

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What career growth opportunities exist for Machine Learning Engineers at Intuitive?

At Intuitive, we invest actively in the growth of our Machine Learning Engineers. Opportunities for further training, mentorship, and participation in cutting-edge projects ensure that you’re continually developing your skills and advancing your career. Whether you aspire to take on leadership roles or specialize further in your field, Intuitive supports your professional journey.

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Common Interview Questions for Machine Learning Engineer
Can you explain your experience with machine learning frameworks like TensorFlow or PyTorch?

When discussing your experience with machine learning frameworks in an interview, highlight specific projects where you've applied TensorFlow or PyTorch. Mention the types of models you developed, the data you worked with, and any specific outcomes or improvements resulting from your work. Show how your expertise aligns with the needs of the role.

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What is your approach to optimizing algorithms in real-time applications?

In responding to this question, share a systematic method you use to optimize algorithms, such as profiling performance bottlenecks and using techniques like quantization and pruning. Provide examples from your previous work to demonstrate how your approach leads to improved performance in real-time applications.

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How do you ensure the accuracy and reliability of your machine learning models?

To ensure model accuracy and reliability, discuss your practices for validation, including cross-validation techniques, testing on unseen data, and monitoring model performance post-deployment. Mention any metrics you prioritize and how you continuously improve model performance based on user feedback.

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Describe a challenging technical problem you've faced and how you solved it.

This is your chance to tell a compelling story! Describe the context of the problem, your reasoning process, and the steps you took to arrive at a solution. Focus on the impact of your resolution and what you learned from the experience that can help in future projects.

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How do you approach collaboration with data scientists and other team members?

Highlight how you value teamwork by sharing examples of successful collaborations, emphasizing communication strategies, the use of collaboration tools, and how you handle differing opinions. This insight shows your ability to work harmoniously in interdisciplinary teams.

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What role do you believe machine learning plays in robotic-assisted surgery?

Share your perspective on the impact of machine learning on robotic-assisted surgery by discussing areas such as enhanced precision, improved surgical outcomes, and the potential for personalized treatment. Be sure to tie your insights back to your experiences.

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What strategies do you use for maintaining large datasets?

Talk about practices for data organization, integrity checks, and version control systems. Highlight particular tools or methodologies that ensure data quality and accessibility for ongoing machine learning tasks.

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Can you describe your experience working in a regulated industry?

Share your familiarity with the specific compliance standards relevant to the medical device industry, such as FDA guidelines, and how you've implemented best practices to ensure adherence during development processes.

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How do you stay current with advancements in AI and Machine Learning?

Discuss your strategies for professional development, such as attending conferences, participating in online courses, following relevant publications, and engaging in community forums. Show that you’re proactive about keeping your skills fresh and relevant.

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What do you think are the key challenges when developing user interfaces for surgical robotics?

Mention the importance of designing for user experience, reliability, and safety in high-stakes environments. You might dive into considerations around usability, the type of feedback required, and how you would gather insights to inform design improvements.

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Founded in 1995, Intuitive Surgical, Inc develops, manufactures and markets robotic technologies designed to improve clinical outcomes and help patients return more quickly to active and productive lives. The company is headquartered in Sunnyvale,...

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March 23, 2025

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