Research Intern

Build AI; San Francisco (CA); On-site; USD 41,000 - 55,000; Full time

Benefits offered by this job

Housing subsidy

Relocation support

Daily lunch

Wellness benefits

Unlimited compute budget

Codex and Claude credits

Travel

Job summary

Build AI in San Francisco (Financial District) is seeking Research Interns to train on the physical labor dataset. You’ll run a real 12-week research bet, not a toy project, focusing on monocular video data and scalable data collection.

You’ll collaborate with researchers, build training and data paths with PyTorch, and contribute to both research and engineering. This is an in-person internship designed for candidates pursuing CS/EE with hands-on model experience and a strong drive to push

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in CS, EE, or related field.
• Hands-on experience training models with PyTorch or similar toolkits.
• Desire to work with real-world physical/video data, not just simulations.
• Ability to work independently on a 12-week project.
• Location: San Francisco, in-person.

Responsibilities

• Run a research bet: train, evaluate, ablate, and report findings.
• Collaborate with researchers to influence data collection and evals.
• Build training and data paths (PyTorch, dataset slices, evals).
• Contribute to both research and engineering; no notebook-only track.

Skills

Independent 12-week project

In-person SF

Research mindset

Data-driven curiosity

Education

CS/EE degree in progress

Tools

PyTorch

Dataset handling

Job description

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 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. Questions: [e-mail]