Machine Learning Engineer
$100k - $150k • San Francisco • FullTime
Posted 5mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Human Archive is a research lab dedicated to modeling human embodied intelligence. We aim to understand and recover human physical intelligence by building custom hardware, deploying it globally, and publishing research. Our work is at the forefront of robotics and world modeling, with the ultimate goal of advancing scientific research into intelligence itself. We are a lean, deeply technical team operating at high speed, tackling challenging problems that significantly enhance model capabilities. Our mission is to accelerate the transition towards abundant creativity by reshaping physical labor markets through the deployment of capable humanoids at scale.
Responsibilities
- Build systems for multimodal perception, annotation, dataset QA, and robotics evaluation.
- Publish research on multimodal data by fine-tuning and evaluating VLA models on downstream robotics tasks and policy performance.
- Build post-training and reinforcement learning systems around robotics failure modes and corrective demonstrations.
- Work across video understanding, tracking, pose estimation, temporal modeling, and multimodal alignment.
- Develop tooling for benchmarking, observability, and temporal efficiency.
- Prototype quickly, ship rapidly, and iterate from real-world robotics deployments and research feedback.
Requirements
- Strong ML engineering fundamentals across robotics, computer vision, and perception systems.
- Experience with video understanding, tracking, pose estimation, robotics, or real-world sensor systems.
- Strong technical intuition and ability to move quickly in ambiguous research environments.
- Published research or production experience in robotics, embodied AI, reinforcement learning, motion capture, or vision systems is a strong plus.