ZipRecruiter

Log In

1

Internship Machine Learning Robotics Jobs in California

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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA

- 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 ...

Horizon Robotics

Research Scientist

Cupertino, CA · On-site

$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 ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Robotics JobsInternship Machine Learning Robotics JobsInternship Machine Learning Robotics Jobs in California

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.

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 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:

What cities in California are hiring for Internship Machine Learning Robotics jobs?

Cities in California with the most Internship Machine Learning Robotics job openings:

Internship Machine Learning Robotics jobs near you
Infographic showing various Internship Machine Learning Robotics job openings in California as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Staff/Lead Machine Learning Engineer, Behavior & Planning

NextGenEnergyJobs

Mountain View, CA • On-site

$180 - $260/hr

Other

Posted 11 days ago

Job description

Staff/Lead Machine Learning Engineer, Behavior & Planning

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world.

Requirements
  • 7+ years building and deploying machine learning systems, with a track record of leading complex, multi-team technical initiatives.
  • M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field or equivalent practical experience.
  • Strong, general machine learning foundations. You can reason from first principles across model architectures, training, and evaluation, and clearly explain and apply state-of-the-art techniques. Depth in some of: sequential decision making, prediction, generative modeling, foundation/world models, or representation learning.
  • Understanding of the full ML development cycle, from data collection and training to deployment, onboard inference considerations, and data iteration loops.
  • Strong problem-solving and programming skills in Python (required) and/or C++.
  • Demonstrated ability to lead initiatives, collaborate across many different teams, and operate independently with minimal oversight.
  • Efficient and clear communication skills are a must, with the ability to align cross-functional stakeholders.
  • Strong preference for prior experience in autonomous vehicles or robotics, and familiarity with how ML fits into a complete autonomy/planning stack, though we hire strong general-ML talent from adjacent domains and value the ability to ramp on a new domain quickly.
  • Experience mentoring engineers or leading a team, and interest in growing into a management or tech-lead track.
  • Familiarity with at least one major ML framework (PyTorch, JAX, TensorFlow).
#J-18808-Ljbffr

Apply