Staff ML Engineer, Agent Training & Environments
1mo ago
Labelbox is building the critical infrastructure for breakthrough AI models, focusing on data-centric approaches. We offer integrated solutions for frontier AI development, including an Enterprise Platform & Tools for scalable data annotation, a Frontier Data Labeling Service with specialized expertise, and an Expert Marketplace connecting AI teams with skilled annotators. We operate in a high-impact, fast-paced environment that rewards ownership, technical excellence, and continuous learning. This role is central to advancing frontier agent capabilities, bridging the gap between training and infrastructure by building the systems that run experiments, including environments, verifiers, and fine-tuning pipelines. We seek engineers with strong judgment who can set technical direction, build reliable systems quickly, and are at the forefront of agent-first engineering practices.
$250k - $280k
San Francisco Bay Area remote Google CloudKubernetesPython +13 more