ML Engineer for Multimodal Robotics & Embodied AI

Human Archive; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Human Archive in San Francisco is seeking a Machine Learning Engineer who will develop systems for multimodal perception and contribute to robotics evaluation. In this hands-on role, you'll impact how data is collected, validated, and evaluated to shape frontier labs and leading robotics companies’ training methods.

The ideal candidate has strong ML engineering fundamentals, experience in robotics, and a passion for mission-driven projects. Join us to reshape physical labor through advanced technology.

Qualifications

• Strong ML engineering fundamentals across robotics, computer vision, and perception systems.
• Experience with video understanding, tracking, pose estimation, or real-world sensor systems.
• Published research or production experience in robotics or embodied AI is a strong plus.

Responsibilities

• Build systems for multimodal perception, annotation, dataset QA, and robotics evaluation.
• Publish research on multimodal data by fine-tuning and evaluating VLA models.
• Develop tooling for benchmarking, observability, and temporal efficiency.

Skills

Machine Learning engineering fundamentals

Robotics

Computer vision

Video understanding

Pose estimation

Job description

Human Archive in San Francisco is seeking a Machine Learning Engineer who will develop systems for multimodal perception and contribute to robotics evaluation. In this hands-on role, you'll impact how data is collected, validated, and evaluated to shape frontier labs and leading robotics companies’ training methods.

The ideal candidate has strong ML engineering fundamentals, experience in robotics, and a passion for mission-driven projects. Join us to reshape physical labor through advanced technology.