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Internship Augmented Reality Jobs in California (NOW HIRING)

Meta

AI Research Scientist, Robotics

Burlingame, CA · On-site

$154K/yr

Demonstrated research and software engineering experience via an internship, work experience ... experiences like augmented and virtual reality to help build the next evolution in social ...

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Internship Augmented Reality information

What is an internship augmented reality?

Internship Augmented Reality positions are temporary roles designed for students or early-career professionals to gain hands-on experience in developing, designing, or researching augmented reality (AR) technologies. Interns typically work on real-world projects involving AR applications, such as creating interactive digital overlays, developing AR software, or testing AR hardware. These internships provide valuable technical skills, exposure to industry-standard tools, and an understanding of how AR is used across various sectors like gaming, education, retail, and healthcare. They often require knowledge of programming languages, 3D modeling, or user experience design. Completing an AR internship can pave the way for future careers in immersive technology fields.

What are the key skills and qualifications needed to thrive as an augmented reality intern?

To thrive as an Augmented Reality Intern, you typically need a background in computer science or related fields, with foundational knowledge in AR development and 3D modeling. Familiarity with AR platforms like Unity or Unreal Engine, as well as programming languages such as C# or C++, is often expected. Strong problem-solving skills, creativity, and effective teamwork are valuable soft skills that help interns excel in collaborative and innovative environments. These competencies are vital for contributing to AR projects, adapting to rapidly evolving technology, and delivering engaging user experiences.

What types of projects can I expect to work on during an augmented reality internship?

As an Augmented Reality intern, you will typically be involved in projects such as developing AR prototypes, optimizing AR experiences for mobile devices, and assisting with user testing. You may work closely with designers, developers, and product managers to integrate AR features into existing applications or create new interactive experiences. This hands-on exposure allows you to gain practical skills in AR frameworks, 3D modeling, and real-time rendering, while also learning to solve challenges related to user engagement and performance optimization.

What is the difference between Internship Augmented Reality vs Augmented Reality Developer?

AspectInternship Augmented RealityAugmented Reality Developer
Required CredentialsEnrolled in relevant degree, basic technical skillsDegree in computer science, software engineering, or related field; coding skills
Work EnvironmentInternship programs, entry-level projects, collaborative teamsFull-time employment, development teams, tech companies
Employer & Industry UsageTech startups, research labs, educational institutionsGaming, AR app development, enterprise solutions
Search & Comparison IntentLearning about entry-level AR roles, internshipsCareer advancement, skill development in AR development

Internship Augmented Reality positions are typically entry-level roles designed for students or recent graduates gaining hands-on experience. Augmented Reality Developers are experienced professionals creating AR applications and solutions. Internships serve as a stepping stone toward becoming a full-fledged AR Developer, with the latter requiring more advanced skills and credentials.

What are the most commonly searched types of Augmented Reality jobs in California?

The most popular types of Augmented Reality jobs in California are:

What job categories do people searching Internship Augmented Reality jobs in California look for?

The top searched job categories for Internship Augmented Reality jobs in California are:

What cities in California are hiring for Internship Augmented Reality jobs?

Cities in California with the most Internship Augmented Reality job openings:

Internship Augmented Reality jobs near you
Infographic showing various Internship Augmented Reality job openings in California as of August 2026, with employment types broken down into 10% Internship, 61% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI Research Scientist, Robotics

Meta

Burlingame, CA • On-site

$154K/yr

Full-time

Re-posted 18 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

The ideal Research Scientist candidate will use their skills in system design and modeling and possess 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 functionalities needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • 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
  • Currently has or is in the process of obtaining a 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 LLMs
  • Experience in relevant robotics related research areas, such as: VLM, 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:
  • 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
  • 2+ 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
  • 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)
  • 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
  • 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 deep learning frameworks (such as PyTorch, Tensorflow) and Python

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.
$154,000/year to $217,000/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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