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Machine Learning Robotics Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA

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 ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

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 ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly ... You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

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Machine Learning Robotics information

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$42.6K

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How much do machine learning robotics jobs pay per year?

As of Jun 19, 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 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.

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What cities are hiring for Machine Learning Robotics jobs? Cities with the most Machine Learning Robotics job openings:
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Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Robotics Learning Engineer

Noble Machines, Inc

Sunnyvale, CA

Other

Posted 26 days ago

Job description

About Noble Machines

Noble Machines (formerly Under Control Robotics) builds multipurpose robots to support human workers in the world's toughest jobs-turning dangerous work from a necessity into a choice. Our work demands reliability, robustness, and readiness for the unexpected-on time, every time. We're assembling a mission-driven team focused on delivering real impact in heavy industry, from construction and mining to energy. If you're driven to build rugged, reliable products that solve real-world problems, we'd love to talk.

Position Overview

At Noble Machines, building is a team sport. As a machine learning engineer, you'll take ownership and lead the development of advanced machine learning and AI systems powering multipurpose humanoid robots in the real world. You'll design, implement, and optimize learning algorithms that enable robots to move fluidly across diverse environments while performing complex manipulation tasks.

Responsibilities
  • Create and optimize learning pipelines for training locomotion policies that generalize across environments
  • Develop and implement machine learning models for robot perception, decision-making, and motion planning
  • Create and optimize computer vision systems for environmental awareness and object recognition
  • Collaborate with the hardware team to integrate learning systems with the physical platforms
  • Design simulation environments for training and testing learning algorithms
  • Collect, process, and analyze field data to improve learning systems continuously
  • Develop metrics and benchmarks to evaluate robot learning performance
  • Stay current with the latest research and innovations in robotics and machine learning
Requirements
  • Master's or PhD in Robotics, Computer Science, Machine Learning, or related field
  • 3+ years of experience developing machine learning applications for robotics systems
  • Strong programming skills in Python, C++, and relevant ML frameworks (TensorFlow, PyTorch)
  • Experience with reinforcement learning, computer vision, and motion planning algorithms
  • Familiarity with ROS (Robot Operating System) or similar robotics frameworks
  • Knowledge of control systems and robot kinematics
  • Strong mathematical background in linear algebra, calculus, and statistics
  • Experience with simulation tools for robotics (Gazebo, MuJoCo, Isaac Sim, etc.)
  • Proven track record of implementing ML solutions in robotics applications
  • Experience with legged robot locomotion and dynamic stability control
Nice to Have
  • Experience with humanoid robots or complex multi-joint robotic systems
  • Knowledge of model predictive control (MPC) for locomotion
  • Familiarity with trajectory optimization for legged robots
  • Knowledge of industrial environments (construction, energy, mining, or manufacturing)
  • Understanding of safety considerations for learning-based robotic systems
  • Experience with edge computing and deploying ML models on embedded systems
  • Familiarity with human-robot interaction paradigms
  • Background in imitation learning or learning from demonstration
  • Experience with SLAM (Simultaneous Localization and Mapping) techniques
  • Publications in relevant conferences (ICRA, IROS, NeurIPS, etc.)

The base salary range for this full-time position is $170,000 - $400,000, in addition to bonus, equity and benefits.

To apply, submit your resume here or email people@noblemachines.ai. To increase your chances of being selected for an interview, we encourage you to include up to TWO examples of your most representative work featuring hardware demonstrations.

Apply