Sieve is a multimodal lab curating training datasets across video, audio, images, text, and 3D. The company combines large-scale data infrastructure with multimodal understanding techniques to support foundation models and applications such as creativity, communication, gaming, AR/VR, and robotics. The Deployment Engineer will travel globally to launch and scale hardware and data collection operations. The role owns the technical work of bringing sites online, including setting up camera rigs and local infrastructure and ensuring data is captured correctly and uploaded reliably. It is based in San Francisco and requires spending 75%–85% of working time traveling globally and working on-site in different countries. This is a hands-on software engineering position with substantial fieldwork. The engineer will debug upload pipelines, install hardware at new sites, and train local engineers, working with site partners, the engineering team, and local operators to resolve issues and keep deployments running. As the company enters new countries, the engineer will help build local technical teams by identifying and interviewing candidates, onboarding engineers, and equipping and training them to operate deployments independently. The engineer will also use field experience to improve software, deployment tools, and repeatable processes, and may assist with local operations as needed to bring sites online.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed