Member of Technical Staff

Build AI•San Francisco, CA

1d•Onsite

About The Position

Build AI is hiring Members of Technical Staff for general research and engineering roles focused on physical-labor, video, and world-model data. The company is vertically integrated across hardware, manufacturing, logistics, data collection, and model training, and offers access to a rapidly scaling dataset and a small team that supports hands-on model training. The role is intended for people with a compelling research direction who want to pursue it using Build’s data and help determine what the data reveals. Technical staff conduct research and engineering without a narrow division between the two. They train, evaluate, and improve models; build the training and data pipelines needed for experiments; and collaborate across disciplines. The team works in person in San Francisco’s Financial District or Shenzhen’s Nanshan district.

Requirements

Experience training real models.
A research direction or bet that the candidate can defend.
Proficiency in Python and a deep learning framework such as PyTorch or an equivalent.
Interest in working with in-the-wild physical data rather than only academic data splits.
Ability to move between research questions and engineering to complete experiments.
Ability to work independently on an ambiguous, high-impact direction.

Nice To Haves

Experience with video, world models, robotics, or multimodal training.
Experience with large-scale pretraining, dataset curation, or distributed GPU training.
Familiarity with egocentric, first-person, or in-the-wild video.
Published work or shipped models that influenced what a lab did next.

Responsibilities

Run research projects using Build data, including training, evaluation, ablation, and shipping effective results.
Design and train models on in-the-wild video and physical-labor data, investigating what models learn as data scales and what remains missing.
Build required training and data pipelines, including work involving PyTorch, distributed training, and dataset curation.
Work with the Head of Dataset & Quality and the Evals Lead so research results inform data collection and evaluation.
Contribute to both research and engineering as needed on a team of fewer than 30 people.
Design evaluation frameworks that assess generalization rather than relying only on training curves.

Benefits

Competitive pay.
Medical, dental, and vision packages with generous premium coverage.
$500 per month credit for waiving medical benefits.
Housing subsidy of $2,000 per month for employees living within walking distance of the office.
Relocation support for employees moving to San Francisco or Shenzhen.
Wellness benefits covering fitness, mental health, and more.
Daily lunch and dinner in the office.
Unlimited compute budget subject to ROI justification.
Unlimited Codex and Claude credits.
Travel.