Research Intern

About Build AI

Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the in-the-wild physical labor dataset by orders of magnitude. We learn from humans doing the real job, in real environments. Inflecting revenue, backed by top-tier investors and staffed by leading engineers, Build is becoming the bottleneck to solving physical labor.

Job Summary

We’re hiring Research Interns to train on the in-the-wild physical labor dataset. This is the intern version of Member of Technical Staff: 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 Members of Technical Staff, Head of Dataset & Quality, and Evals Lead 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
• Travel

How we're different

Build believes in the Bitter Lesson. We are betting early on learning from real human work at massive scale, and that the economies of scale of collection beat extra sensors and extra fidelity. Our addressable market is all physical labor, unlike many of our competitors.

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]