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3D Generalist Intern Jobs (NOW HIRING)

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How much do 3d generalist intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for 3d generalist intern in the United States is $17.31, 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 types of projects and team collaborations can a 3D Generalist Intern expect during their internship?

As a 3D Generalist Intern, you'll likely work on a variety of projects ranging from asset creation and texturing to lighting and basic animation. You'll collaborate closely with artists, animators, and sometimes developers, depending on the studio's structure. Interns are often assigned both independent tasks and supportive roles in larger team projects, allowing you to develop a broad skill set while learning professional workflows. Regular feedback and mentorship from senior team members are common, providing valuable opportunities for growth and networking within the industry.

What does a 3D Generalist Intern do?

A 3D Generalist Intern assists with creating and editing 3D assets for projects such as games, animations, or visual effects. Their tasks can include modeling, texturing, lighting, rendering, and sometimes basic rigging or animation. Interns typically work under the guidance of senior artists and help with various parts of the 3D production pipeline, gaining hands-on experience while supporting the team. This role is ideal for those looking to develop a broad range of 3D skills.

What are the key skills and qualifications needed to thrive as a 3D Generalist Intern, and why are they important?

To thrive as a 3D Generalist Intern, you need a solid understanding of 3D modeling, texturing, lighting, and animation, often backed by coursework or a portfolio showcasing relevant projects. Familiarity with industry-standard tools like Autodesk Maya, Blender, ZBrush, and Adobe Creative Suite is typically required. Strong creative problem-solving, adaptability, and teamwork skills help you stand out in collaborative, fast-paced environments. These skills are vital for delivering high-quality 3D assets and efficiently supporting various stages of the production pipeline.
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Research Intern - 3D Vision and Generation, Self-Driving

Research Intern - 3D Vision and Generation, Self-Driving

Applied Intuition

Sunnyvale, CA • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Research Intern Position at Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the Role

We are looking for multiple passionate Research Interns to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions—including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA.

Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

At Applied Intuition, You Will:
  • Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to autonomous driving, and fundamental topics on 3D vision and generation with broader applications
  • Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences
We're Looking For Someone Who Has:
  • Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
  • Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
  • Passion for next-generation, scalable autonomy and robotics

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.