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Internship Machine Learning Robotics Jobs in California

Fieldai Robotics Engineer FieldAI's Irvine team is where embodied AI meets real robots, real ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI is a company based in Irvine, California, specializing in embodied AI and robotics. They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine ...

Develop algorithms based on state-of-the-art machine learning and neural network methodologies ... Demonstrated research and software engineering experience via an internship, work experience ...

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 ...

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'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'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'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 ...

- 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 ...

- 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 ...

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Internship Machine Learning Robotics information

What is the difference between Internship Machine Learning Robotics vs Internship Data Science?

AspectInternship Machine Learning RoboticsInternship Data Science
Required SkillsProgramming (Python, C++), Robotics, Machine LearningStatistics, Programming (Python, R), Data Analysis
Work EnvironmentRobotics labs, manufacturing, research facilitiesData centers, corporate offices, research institutions
Industry UsageRobotics companies, automation, AI hardwareFinance, healthcare, marketing, tech firms

Internship Machine Learning Robotics focuses on developing AI algorithms for robotic systems, combining hardware and software skills. In contrast, Internship Data Science emphasizes analyzing data to extract insights, often in business or research settings. Both internships require programming skills, but their applications and environments differ significantly.

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:
Machine Learning Engineer, Depot Automation

Machine Learning Engineer, Depot Automation

Waymo

Mountain View, CA

Other

Posted 8 days ago


Job description

This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to generalize complex depot operations-such as exterior cleaning, sensor calibration, and maintenance checks-using advanced robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to translate real-world needs into robust, working solutions.

This role follows a hybrid work schedule and reports to a Director, Hardware and Sensors.

You will:

  • Drive the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet
  • Contribute to accomplishing complex depot operations using advanced robotics
  • Focus on complex depot operations, such as charging, interior cleaning, vehicle inspection, and routine vehicle maintenance tasks
  • Leverage foundation models, reinforcement learning, and simulation
  • Integrate ML models in production at scale
  • Interface closely with operations teams to translate real-world needs into robust, working solutions

You have:

  • 3+ years of experience in training and evaluating large machine learning models
  • 3+ years of experience with robotics, preferably industrial robotics 
  • Expertise in reinforcement learning and its applications to real-world problems

We prefer:

  • A PhD in Machine Learning, Robotics, or a related technical field or equivalent experience 
  • Experience with applying machine learning techniques to large-scale industrial problems is a plus
  • Background in collaborating with internal and external research partners on applying ML to large-scale industry scale problems