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Machine Learning Robotics Jobs in California (NOW HIRING)

Atoms

Machine Learning Engineer

Mountain View, CA · On-site

... robotics automation, recommendation systems, knowledge graph building and mining, etc • Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment ...

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

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 · On-site

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 ...

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 Scientist

San Mateo, CA · On-site

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 ...

Atoms

Machine Learning Engineer

Mountain View, CA · On-site

... robotics automation, recommendation systems, knowledge graph building and mining, etc • Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment ...

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Machine Learning Robotics information

See California salary details

$25.2K

$42K

$86.8K

How much do machine learning robotics jobs pay per year?

As of Jul 7, 2026, the average yearly pay for machine learning robotics in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

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 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 most commonly searched types of Machine Learning Robotics jobs in California? The most popular types of Machine Learning Robotics jobs in California are:
What are popular job titles related to Machine Learning Robotics jobs in California? For Machine Learning Robotics jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Robotics jobs in California look for? The top searched job categories for Machine Learning Robotics jobs in California are:
What cities in California are hiring for Machine Learning Robotics jobs? Cities in California with the most Machine Learning Robotics job openings:
Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Atoms

Mountain View, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Atoms is building the machines that power the next era of progress, focusing on Physical AI for industries like food, mining, and transport. As a Machine Learning Engineer, you will develop state-of-the-art AI intelligence solutions and collaborate with a team to enhance technology and drive innovation.
Responsibilities:
• Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
• Collaborative Teamwork: Work closely with a team to enhance and support technology
• Innovation: Drive innovation within the team and support CSS’ technological advancements
Qualifications:
Required:
• Bachelors degree required
• Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience
• Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
• High energy rapid software development, iterating and pivoting quickly
• Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
• Proficient in Python; Familiarity with Java/Go
• Experience with data analysis and visualization
• Strong communication and presentation skills
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2026, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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