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

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$100K - $150K/yr

Today, our data is used for robotics and world modeling, but the broader opportunity is advancing ... The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ...

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 ...

Skild AI

Research Scientist

San Mateo, CA

We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. You will collaborate with a team of talented ...

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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 27, 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $49,908 per year, or $24 per hour.

Machine Learning Engineer, Prediction & Planning

Mountain View, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

$175K - $215K/yr

Full-time

Re-posted 2 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.
In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews.
You will:
  • Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business.
  • Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles.
  • Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements.
  • Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams.

You have:
  • BS in Computer Science, ML, Robotics, similar technical field of study
  • 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles
  • Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact
  • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
  • Proficient programming skills (eg: Python, C/C++)
  • Strong analytical and debugging skills

We prefer:
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
  • General software engineering experience solving motion planning or related robotics problems
  • Experience applying or evaluating ML-based systems in production environments
  • Experience with performance optimization of deep models, including with respect to specific hardware architectures

#LI-Hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$175,000-$215,000 USD

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