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Machine Learning Robotics Jobs (NOW HIRING)

About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Our team builds self-driving solutions from the ground up, with machine learning at the core of our ...

$225K - $260K/yr

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is ... We are solving real-world problems leveraging robotics, machine learning and computer vision, among ...

About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Our team builds self-driving solutions from the ground up, with machine learning at the core of our ...

We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with ...

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... As a 3D Machine Learning Engineer , you will focus on designing, implementing, training, and ...

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

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Machine Learning Robotics information

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$25.5K

$42.6K

$88K

How much do machine learning robotics jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning robotics in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Robotics job?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Machine Learning Robotics position, and why are they important?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in Machine Learning Robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.
What cities are hiring for Machine Learning Robotics jobs? Cities with the most Machine Learning Robotics job openings:
What are the most commonly searched types of Machine Learning Robotics jobs? The most popular types of Machine Learning Robotics jobs are:
What states have the most Machine Learning Robotics jobs? States with the most job openings for Machine Learning Robotics jobs include:
Infographic showing various Machine Learning Robotics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Temporary. Highlights an 32% Physical, and 68% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Robotics Engineer

Machine Learning Robotics Engineer

Intuitive

Sunnyvale, CA โ€ข On-site

Full-time

Posted 15 days ago


Job description

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion-have transformed how care is delivered for millions of patients worldwide.

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.

If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here.

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. The Ion R&D team is looking for a gifted engineer to contribute to our PlanPoint software and robot navigation, which together guide our physician users through the 3D structure of the lung, to take a biopsy at a target location. As a machine learning robotics engineer on the Ion project, you will join a small team of experts in medical imaging, robotics, and software. You will play a lead technical role, working to conceptualize, design, and evaluate new solutions for medical image insights. You will contribute across the product development life cycle, taking algorithm concepts from initial prototypes to production software.

Responsibilities:

  • Work as part of a cross-functional team in a fast-paced, start-up-like business unit
  • Develop new algorithms and software implementations for computer vision, sensor fusion, registration, machine learning, etc.
  • Prototype and iterate on designs, develop tests, and deliver high-quality software in Python and/or C++
  • Participate in failure mode assessment, to identify and implement robust hazard mitigation strategies
  • Maintain practical knowledge of state-of-the-art computer vision and sensor fusion research literature
Qualifications

Qualifications

Requirements:

  • Master degree and 1 year experience; or a PhD; or equivalent experience
  • Demonstrated expertise in medical image analytics, computer vision, robotics or machine learning
  • Exceptional working knowledge of Python and/or C++ programming
  • Great communication, presentation, and documentation skills
  • High levels of autonomy and technical ownership

Preferred Qualifications.

  • Expertise in object-oriented programming
  • Knowledge of one or more of the following libraries and tools: PyTorch, TensorFlow, ITK, OpenCV, or other image insights toolkits
  • Project experience in medical devices or another regulated industry
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.ย  Details can vary by role.

Intuitive is an Equal Opportunity Employer.ย 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

U.S. Export Controls Disclaimer:ย ย 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 employeeswho 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).ย ย 

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'sstart 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.ย 

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.

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate's experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate's qualifications, consistent with applicable law.

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.