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Internship Machine Learning Robotics Jobs (NOW HIRING)

Skild AI

Deep Learning Manipulation Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with ...

Skild AI

Deep Learning Manipulation Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA

$184K/yr

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 ...

DiDi

Machine Learning Engineer, VLA

San Jose, CA · On-site

$164K/yr

Required : • Strong background in machine learning, deep learning, or robotics • Experience with PyTorch / JAX / TensorFlow • Solid understanding of modern neural architectures (transformers ...

New

Meta

AI Research Scientist, Robotics

Menlo Park, CA · On-site

$184K - $257K/yr

... machine learning, robotics, and embodied AI, particularly including areas such as transfer learning ... internship, work experience, coding competitions, or widely used contributions in open source ...

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 · 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 ...

Field AI

3D Machine Learning Engineer

Irvine, CA · On-site

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

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Internship Machine Learning Robotics information

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$25.5K

$42.6K

$88K

How much do internship machine learning robotics jobs pay per year?

As of Jun 3, 2026, the average yearly pay for internship 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 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 cities are hiring for Internship Machine Learning Robotics jobs? Cities with the most Internship Machine Learning Robotics job openings:
What are the most commonly searched types of Machine Learning Robotics jobs? The most popular types of Machine Learning Robotics jobs are:
What states have the most Internship Machine Learning Robotics jobs? States with the most job openings for Internship Machine Learning Robotics jobs include:
Internship Machine Learning Robotics jobs near you
Infographic showing various Internship Machine Learning Robotics job openings in the United States as of May 2026, with employment types broken down into 18% As Needed, 70% Full Time, 5% Part Time, 2% Temporary, 2% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior Staff Machine Learning Engineer, Depot Automation

Senior Staff Machine Learning Engineer, Depot Automation

Waymo

Mountain View, CA • Hybrid

$122.70K - $161K/yr

Other

Posted 26 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.
  • Lead efforts to generalize complex depot operations using advanced robotics.
  • Focus on complex depot operations, such as exterior cleaning, sensor calibration, and maintenance checks.
  • 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:

  • At least 10 years of experience applying machine learning techniques to large-scale industrial problems.
  • Proven experience in training and evaluating large machine learning models.
  • Expertise in reinforcement learning and its applications to real-world problems.

We prefer:

  • PhD in Machine Learning, Robotics, or a related technical field.
  • Experience in robotics or embodied AI is a plus.
  • Background in collaborating with internal and external research partners on applying ML to large-scale industry scale problems.

Apply