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Machine Learning Engineer - job 1 of 2

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

The Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. As an algorithms engineer on the Ion project, you will join a small team of robotics and software experts. You will play a lead technical role, working to conceptualize, design, and evaluate new aspects of a guidance software solution.

 

  • Work as part of a cross-functional team in a fast-paced, start-up-like business unit
  • Develop new algorithms and software implementations related to medical image analysis and/or computer vision
  • Prototype and iterate on designs, develop tests, and deliver high-quality software in C++
  • Create requirements and formal test protocols for new features

Qualifications

  • MS or PhD in CS, EE, ME, BioE or related fields with 6+ years of related experience
  • Great communication skills
  • Strong programming skills; C++ knowledge preferred
  • Demonstrated expertise in computer vision, medical image analysis, registration, robotics, sensor fusion, and/or machine learning
  • Demonstrated ability to systematically troubleshoot and debug complex systems
  • High levels of independence and technical ownership
  • Bonus points for:
    • Experience with development in Linux
    • Experience with OOP design
    • Knowledge of one or more of the following libraries and tools: OpenCV, PyTorch, TensorFlow, ITK, VTK, ROS
    • Experience with medical devices and product development in a regulated industry

Candidates at all experience levels are encouraged to apply, as the seniority level of the position may be adjusted based on the applicant.

Learn more about the compelling, collaborative work environment of the Ion Software Engineering Team here.

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 / Affirmative Action 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.

EEO and AA Policy

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

$140000 / YEARLY (est.)
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$120000K
$160000K

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

As a Machine Learning Engineer at Intuitive, located in Sunnyvale, CA, you're stepping into a fascinating role where your contributions can significantly enhance medical care. We are on a mission to transform the world of minimally invasive procedures, and you’ll be a vital part of our pioneering Ion™ endoluminal system project. In this position, you will collaborate with a talented team of software and robotics experts, focusing on developing innovative guidance software solutions that utilize cutting-edge algorithms. Your tasks will revolve around medical image analysis and computer vision, where you'll have the exciting opportunity to prototype designs, create tests, and write high-quality software primarily in C++. We value independence and creativity, so your ability to conceptualize and troubleshoot complex systems will be critical. With a robust educational background in computer science or a related field, combined with solid programming skills, you’ll help us advance early diagnosis techniques for lung cancer through robotic-assisted surgery. If you're driven by a passion for healthcare innovation and have a knack for turning ideas into reality, Intuitive is the perfect place for you to thrive and make a difference in people's lives.

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Intuitive
What are the main responsibilities of a Machine Learning Engineer at Intuitive?

As a Machine Learning Engineer at Intuitive, your main responsibilities will include developing new algorithms and implementing software related to medical image analysis and computer vision. You will work within a cross-functional team, focusing on the Ion™ endoluminal system, which aims at improving early lung cancer diagnosis. You will also create formal test protocols for new features, prototype innovative designs, and ensure the delivery of top-quality software.

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What qualifications are required to become a Machine Learning Engineer at Intuitive?

To qualify for the Machine Learning Engineer position at Intuitive, candidates need a Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Bioengineering, or a related field, coupled with at least six years of relevant experience. Strong programming skills, particularly in C++, and demonstrated expertise in areas such as computer vision, robotics, and machine learning are essential.

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How does the role of Machine Learning Engineer integrate with other teams at Intuitive?

The role of a Machine Learning Engineer at Intuitive is deeply integrated with various teams, including software, robotics, and clinical specialists. This collaboration is essential to developing effective solutions for robotic-assisted surgery, ensuring that all aspects of the software from design to quality assurance align with healthcare goals.

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What skills are essential for success as a Machine Learning Engineer at Intuitive?

Essential skills for success as a Machine Learning Engineer at Intuitive include strong programming abilities, especially in C++, proficiency in medical image analysis and computer vision, excellent communication skills, and a capacity for systematic troubleshooting of complex systems. Familiarity with tools like OpenCV, PyTorch, and TensorFlow is also beneficial.

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What is the work culture like for a Machine Learning Engineer at Intuitive?

The work culture at Intuitive for a Machine Learning Engineer is characterized by inclusivity, collaboration, and innovation. The company fosters a diverse environment where team members are encouraged to share their ideas and contribute to meaningful projects that advance healthcare. Intuitive values integrity, learning agility, and the drive to make impactful changes in the medical field.

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Common Interview Questions for Machine Learning Engineer
Can you explain your experience with medical image analysis as a Machine Learning Engineer?

When answering this question, focus on specific projects you've worked on that involved medical image analysis. Highlight the techniques you used, the challenges you faced, and how you overcame them, particularly in relation to improving the diagnostics or treatment processes.

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How do you approach prototyping and iterating on designs?

Discuss your systematic approach to prototyping, which may include the initial conceptualization phase, user feedback collection, and your process for refining designs. Provide examples of past projects where you successfully iterated on your designs based on specific feedback.

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What strategies do you use for debugging complex systems?

Share the techniques you find effective for debugging, such as breaking down the problem into smaller components, using specific debugging tools, and how critical thinking and thorough testing can lead to quick resolutions in complex systems.

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Describe your experience with C++ and software development.

Talk about your familiarity with C++ and any projects you've completed that demonstrate your expertise. Mention how you maintain high-quality code standards, your experience with OOP design, and any particular libraries or frameworks you have used extensively.

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How do you ensure your algorithms are both efficient and effective?

Discuss your approach to evaluating algorithm performance through metrics and testing. Talk about previous projects where you optimized algorithms for faster processing while maintaining or improving accuracy.

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What role has communication played in your past engineering projects?

Illustrate how communication has been vital in your projects, emphasizing collaboration with cross-functional teams. Provide an example where effective communication led to a successful project outcome.

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What are some challenges you foresee in developing software for medical devices?

Mention potential regulatory obstacles, the need for adherence to industry standards, and the importance of incorporating clinical feedback during development. Discuss how you would address these challenges while maintaining innovation.

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Can you share an example of a project where you utilized machine learning techniques?

Provide a detailed example of a project where you applied machine learning techniques. Highlight the problem, the methods you used, the outcomes, and how the project impacted the field or your team.

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What methods do you use to keep updated with the latest developments in machine learning?

Describe your strategies for learning and staying informed, such as participating in online courses, attending workshops and conferences, collaborating with peers, and following relevant journals or publications.

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How do you adapt to rapid changes in technology within your projects?

Illustrate your flexibility and eagerness to learn by sharing experiences where you had to quickly adapt to new technologies. Emphasize your approach to integrating these changes into ongoing work without losing momentum.

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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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Full-time, on-site
DATE POSTED
January 3, 2025

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