hirly

Build AI

Research Intern

San Francisco

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Build AI first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

hirly's read of this role

Seniority
Internship
Country
US
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About Build AI

Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.

Job Summary

We’re hiring Research Interns to train on the physical labor dataset. You run a real research bet for about 12 weeks, not a toy project. Collection is monocular 1920×1080p 30fps, targeting 100M hours. If you have a bet on video, world models, or physical-labor data, you might as well run it here.

Key Responsibilities

Run a research bet on Build data: train, evaluate, ablate, and write down what the data actually taught

Work with researchers, dataset, and evals so the internship changes collection or evals, not only a slide

Build the training and data path you need (PyTorch, dataset slices, evals) instead of waiting for a platform team

Cover research and engineering. There is no intern track that is only notebooks

You may be a good fit if you have (Must-have qualifications)

Progress toward a Bachelor’s, Master’s, or PhD (preferred) in CS, EE, or a related field

You have trained real models (course, lab, open source, or a paper). PyTorch or equivalent

You want in-the-wild physical or video data, not only academic splits

You can operate independently on a 12-week bet

You will be in San Francisco, in person

Strong candidates may also have experience with (Nice-to-have qualifications)

Video, world models, robotics, or multimodal training

Egocentric or in-the-wild video

Large-scale training, dataset curation, or distributed GPU work

Publication at a top conference (CVPR, NeurIPS, ICML, ICLR, RSS, CoRL, or equivalent)

A paper, open-source model, or project that changed what you did next

Benefits

Competitive pay

Medical, dental, and vision packages with generous premium coverage

$500 per month credit for waiving medical benefits

Housing subsidy of $2k per month for those living within walking distance of the office

Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)

Various wellness benefits covering fitness, mental health, and more

Daily lunch and dinner in our office

Unlimited compute budget subject to ROI justification

Unlimited Codex and Claude credits

Travel

How we're different

Build believes in the Bitter Lesson . By taking a general approach of learning from humans, our addressable market is all physical labor.

We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]

Original posting on Build AI's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job