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Machine Learning Robotics Jobs in San Jose, CA (NOW HIRING)

Skild AI

Machine Learning Engineer

San Mateo, CA

This will require close collaboration with our robotics, research, and engineering team. Your work ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...

Skild AI

Research Engineer

San Mateo, CA

In this role, you'll work with researchers and engineers to implement state-of-the-art machine learning and robot systems. The ideal candidate has a strong technical background, experience in turning ...

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Showing results 21-40

All JobsMachine Learning Robotics JobsMachine Learning Robotics Jobs in San Jose, CA

Machine Learning Robotics information

See San Jose, CA salary details

$29.9K

$49.9K

$103.1K

How much do machine learning robotics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning robotics in San Jose, CA is $49,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $53,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in machine learning robotics?

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 is a machine learning robotics?

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 most commonly searched types of Machine Learning Robotics jobs in San Jose, CA? The most popular types of Machine Learning Robotics jobs in San Jose, CA are:
What are popular job titles related to Machine Learning Robotics jobs in San Jose, CA? For Machine Learning Robotics jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Robotics jobs in San Jose, CA look for? The top searched job categories for Machine Learning Robotics jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Machine Learning Robotics jobs? Cities near San Jose, CA with the most Machine Learning Robotics job openings:
Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in San Jose, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $49,908 per year, or $24 per hour.

Staff Robotics Engineer / Tech Lead - Whole-Body Control & Robot Learning

XPENG

Santa Clara, CA

Full-time

Re-posted 29 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
We are now expanding into the development of general-purpose humanoid robots aimed at automating repetitive tasks and assisting people in their daily lives.
 
We are seeking a highly motivated Staff Robotics Engineer / Tech Lead to join our US robotics team. This role is ideal for a strong hands-on engineer who can contribute deeply to humanoid robot control, whole-body motion generation, robot learning, and sim-to-real deployment, while helping coordinate technical direction and mentor a small team. The ideal candidate brings strong engineering judgment, clear communication, and the ability to help other engineers move faster and make better technical decisions.
Key Responsibilities:
  • Develop control and learning-based algorithms for humanoid robot locomotion, whole-body control, motion generation, and sim-to-real transfer.
  • Contribute to the technical direction of the robotics team by identifying key problems, proposing practical solutions, and helping prioritize engineering efforts.
  • Work with simulation, software, hardware, AI, data, and China-based engineering teams to translate robot performance goals into executable plans.
  • Mentor other engineers through design reviews, code reviews, experiments, and technical discussions.
Minimum Requirements:
  • Master's or Ph.D. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • 5+ years of relevant experience in reinforcement learning, robotics, robot learning, control systems, or related areas.
  • Strong background in robot dynamics, control, motion planning, reinforcement learning, imitation learning, or whole-body control.
  • Familiarity with modern robot learning methods such as PPO, SAC, behavior cloning, diffusion policies, imitation learning, etc.
  • Excellent communication skills, with the ability to work across disciplines, locations, and organizational boundaries.
  • Strong ownership mindset and ability to operate effectively in a fast-moving, ambiguous, research-to-product environment.
Preferred Requirements:
  • Publications or strong project experience in robotics, reinforcement learning, legged locomotion, humanoid control, or embodied AI are a plus.
  • Experience technically leading projects or mentoring other engineers.
  • Hands-on experience with legged robot control, testing, or operation.
 
What do we provide:
  • A supportive, engaging environment with opportunities to make a significant impact on the future of robotics.
  • Opportunities to work on cutting-edge technologies with top talent in the field.
  • Competitive compensation, equity, benefits.
  • Lunches, snacks, and team activities.
 
The base salary range for this full-time position is $215,280-$364,320, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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