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Robotics Phd Internship Jobs (NOW HIRING)

PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning ... Demonstrated research and software engineering experience via an internship, work experience ...

PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning ... Demonstrated research and software engineering experience via an internship, work experience ...

In our internship program, you will: Join one of our teams, such as Perception, Prediction ... Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field ...

Currently has or is in the process of obtaining a PhD degree in the field of Artificial ... Demonstrated research and software engineering experience via an internship, work experience ...

Currently has or is in the process of obtaining a PhD degree in the field of Artificial ... Demonstrated research and software engineering experience via an internship, work experience ...

In our internship program, you will: Join one of our teams, such as Perception, Prediction ... Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field ...

... MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field required * 2+ years of professional (non-internship) software development experience

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Robotics Phd Internship information

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How much do robotics phd internship jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for robotics phd internship in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Robotics Phd Internship position, and why are they important?

To thrive as a Robotics PhD Intern, you need strong research skills in robotics, machine learning, and algorithm development, typically supported by current enrollment in a PhD program in computer science, engineering, or a related field. Proficiency in programming languages such as Python or C++, robotics simulation tools like ROS or Gazebo, and relevant technical coursework is often required. Excellent problem-solving abilities, effective communication, and the ability to work both independently and within multidisciplinary teams are valuable soft skills. These competencies are essential for contributing meaningful research, collaborating on innovative projects, and advancing state-of-the-art robotics solutions.

What types of projects and responsibilities can I expect during a Robotics PhD Internship?

As a Robotics PhD Intern, you'll typically work on cutting-edge research or development projects, such as designing new robotic algorithms, building and testing prototypes, or improving machine perception systems. Your day-to-day tasks may include coding, running simulations, analyzing data, conducting experiments, and reporting findings to your mentor or team. You'll often collaborate closely with experts from robotics, computer vision, and artificial intelligence disciplines, gaining insights from their practical and theoretical knowledge. This hands-on experience can enhance your research portfolio, provide networking opportunities, and help you apply academic learning to real-world challenges in robotics.

What is a Robotics PhD Internship job?

A Robotics PhD Internship is a temporary research position designed for PhD students specializing in robotics, AI, machine learning, or related fields. Interns typically work on cutting-edge projects involving robot perception, motion planning, control systems, or human-robot interaction. These internships provide hands-on experience in applying theoretical research to real-world robotics challenges. They are often offered by tech companies, research labs, and universities, helping interns gain industry exposure and expand their professional network.

More about Robotics Phd Internship jobs
What cities are hiring for Robotics Phd Internship jobs? Cities with the most Robotics Phd Internship job openings:
What are the most commonly searched types of Robotics Phd jobs? The most popular types of Robotics Phd jobs are:
What states have the most Robotics Phd Internship jobs? States with the most job openings for Robotics Phd Internship jobs include:
Infographic showing various Robotics Phd Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.
AI Research Scientist, Robotics

AI Research Scientist, Robotics

Meta

Burlingame, CA

$219K/yr

Full-time

Re-posted 27 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We’re seeking a Research Scientist ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
AI Research Scientist, Robotics Responsibilities:
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new functionality needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Lead, plan, and execute novel research based on long-term objectives of the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or Large Language Models
  • 5+ years of industry experience in relevant robotics related research areas, such as: Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
  • 7+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience building systems based on machine learning and/or deep learning methods
  • Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Experience working with robot simulations and real-world hardware
  • Experience working and communicating cross functionally in a team environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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