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Entry Level Machine Learning Robotics Jobs in California

We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. You will collaborate with a team of talented ...

... moving machine on the planet. Applied Intuition services the automotive, defense, trucking ... Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics * Passion ...

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Entry Level Machine Learning Robotics information

What is the difference between Entry Level Machine Learning Robotics vs Entry Level Data Scientist?

AspectEntry Level Machine Learning RoboticsEntry Level Data Scientist
Required CredentialsBachelor's in CS, Robotics, or related; knowledge of ML, programmingBachelor's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRobotics labs, manufacturing, research facilitiesCorporate offices, research firms, tech companies
Industry UsageManufacturing, automation, robotics developmentFinance, healthcare, tech, marketing
Common Search/ComparisonYesYes

Entry Level Machine Learning Robotics focuses on developing and programming robotic systems using machine learning techniques, often in manufacturing or research settings. Entry Level Data Scientist emphasizes analyzing data to inform business decisions across various industries. While both roles require programming and analytical skills, their work environments and applications 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:

Infographic showing various Entry Level Machine Learning Robotics job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 59% Full Time, 38% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer Intern

South San Francisco, CA • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees

$35/hr

Internship

Re-posted 27 days ago


Job description

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents.  In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). 

Job Description and Responsibilities:

We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.

Required Qualifications:

  • Evidence in delivering high-impact projects either in academia or industry
  • Prior experience designing and building Machine Learning models
  • Deep understanding of machine learning concepts and fundamentals
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
  • Excellent communication and collaboration skills
  • Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:

  • Experience working with time series or unstructured data

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Rate: 
$35/Hr USD