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Internship Machine Learning Robotics Jobs (NOW HIRING)

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Python (2+ years) - Develop machine learning pipelines, automation tools, robotics software, and production-quality code supporting research initiatives. * PyTorch (2+ years) - Train, fine-tune ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

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 ...

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 ...

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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 Sep 15, 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.

How to become an internship machine learning robotics?

To become an intern in machine learning robotics, candidates typically need a background in computer science, robotics, or related fields, along with programming skills in languages like Python or C++. Gaining experience with machine learning frameworks such as TensorFlow or PyTorch and understanding robotics platforms like ROS can be beneficial. Applying to internships through university programs, online job portals, or company websites and demonstrating relevant coursework, projects, or certifications can improve chances of selection.

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:

What other helpful pages are available for Internship Machine Learning Robotics?

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Internship Machine Learning Robotics jobs near you
Infographic showing various Internship Machine Learning Robotics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% 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.

Internship 2027 Behavior Machine Learning Engineer, World Models

San Francisco, CA • On-site

Bedrock Robotics
See more jobs at Bedrock Roboticsexternal

Internship

Posted 3 days ago

New

Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
About the Role & Team
Predicting what happens next on a construction site is one of the hardest and most valuable problems at Bedrock, whether that's soil dynamics, machine interactions, or the people moving around the site. Every scoop of dirt we move rewrites the scene we have to plan against. The Behavior ML team is building world models that let our machines reason about the near future instead of just reacting to the present. As our intern, you'll train models on real fleet data, run architecture explorations, and work closely with the Behavior and Controls teams to ship what you build onto a real excavator.
What You'll Do
  • Train and evaluate world models on real fleet data collected from autonomous machines in the field
  • Run architecture explorations and ablations, and make a defensible case for what's actually working
  • Build evaluation harnesses and metrics that tell us whether a model is genuinely better
  • Partner with the behavior and controls teams to connect model outputs to planning and control
  • Present your findings and provide a solid foundation for the team to build upon
What We're Looking For
Required
  • Currently pursuing a BS, MS, or PhD in computer science, machine learning, robotics, or a related field - or bringing equivalent research or industry experience
  • Strong Python and hands-on experience training models in PyTorch (or equivalent)
  • Ability to read a paper and turn it into a working implementation
  • Comfort with messy, real-world data - this is not a curated benchmark
  • Sound experimental judgment understanding the difference between a real result and noise
Preferred
  • Experience with world models, video prediction, or sequence modeling (e.g., DreamerV3, V-JEPA 2, Genie 3, GAIA-2, NVIDIA Cosmos, etc.)
  • Background in reinforcement learning or imitation learning
  • Prior work with robotics or autonomous vehicle data
  • Familiarity with large-scale training infrastructure

Bedrock Robotics is an Equal Opportunity Employer
We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

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