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Full Time Machine Learning Robotics Jobs (NOW HIRING)

Clera

ML Engineer - Robotics

Mountain View, CA · On-site

$220K - $300K/yr

About the Role This role sits at the intersection of machine learning, control systems, and real-world robotics, powering the perception, planning, and decision-making pipelines that make autonomous ...

New

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

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

$150K - $200K/yr

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

$150K - $200K/yr

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 ...

Gather AI

Principal Machine Learning Scientist

... Machine Learning, Robotics, or a related field Preferred : • Experience with drone, robotics, or autonomous systems perception • Publications in top vision or robotics conferences (CVPR, ICCV ...

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 · On-site

$150K - $300K/yr

... for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL ... The base pay range for this full-time Research Scientist position is between $150,000 and $300,000 ...

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

... for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL ... The base pay range for this full-time Research Scientist position is between $150,000 and $300,000 ...

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Full Time Machine Learning Robotics information

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$25.5K

$42.6K

$88K

How much do full time machine learning robotics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time 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 the difference between Full Time Machine Learning Robotics vs Data Scientist?

AspectFull Time Machine Learning RoboticsData Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience in ML and roboticsDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentRobotics labs, manufacturing plants, research facilitiesOffice settings, data centers, research institutions
Industry UsageManufacturing, autonomous vehicles, robotics startupsFinance, healthcare, tech companies, consulting

Full Time Machine Learning Robotics professionals focus on developing intelligent robotic systems, combining ML algorithms with hardware integration. Data Scientists analyze data to extract insights, often working with large datasets and statistical models. While both roles require programming skills and a background in ML, their work environments and industry applications differ significantly.

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Full Time Machine Learning Robotics jobs near you
Infographic showing various Full Time Machine Learning Robotics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

ML Engineer - Robotics

Clera

Mountain View, CA • On-site

$220K - $300K/yr

Full-time

Posted 2 days ago

New

Job description

About the Role

This role sits at the intersection of machine learning, control systems, and real-world robotics, powering the perception, planning, and decision-making pipelines that make autonomous systems truly adaptive. You'll collaborate with frontier AI researchers and hardware engineers to solve hard, interdisciplinary problems that bridge data-driven learning with real-world physical constraints — work that directly shapes the future of embodied intelligence.

What You'll Do

  • Develop and optimize ML models for perception, motion planning, and control.

  • Build computer vision and sensor fusion systems using camera, LiDAR, and IMU data.

  • Integrate learning-based models with robotics software stacks (ROS/ROS2).

  • Design pipelines for data collection, simulation, and reinforcement learning workflows.

  • Collaborate with robotics and hardware engineers to deploy models in live environments.

  • Continuously evaluate model performance and robustness across diverse real-world scenarios.

What We're Looking For

  • 3–8 years of professional experience in Machine Learning, Robotics, or Computer Vision.

  • Proficiency in Python and C++ for robotics and ML development.

  • Hands-on experience with PyTorch and/or TensorFlow for model development.

  • Proficiency with ROS or ROS2 and integrating ML models into robotics software stacks.

  • Experience with robotics simulation tools such as Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet.

  • Solid background in designing and deploying perception, motion planning, and control pipelines for autonomous systems.

  • Experience with sensor fusion using camera, LiDAR, and IMU data.

  • Familiarity with reinforcement learning, imitation learning, or adaptive control techniques.

  • Ability to evaluate and improve model robustness across varied deployment environments.

  • Curiosity, grit, and a passion for pushing the boundaries of embodied AI.

Compensation & Benefits

Base salary: $220,000–$300,000 USD annually. No visa sponsorship is available for this role; candidates must be eligible to work in the United States without sponsorship.

Location

This is a fully on-site role based in Mountain View, CA. Local candidates or those willing to relocate are encouraged to apply.