Machine Learning Engineer

The Role

Every hour we capture runs through an orchestrated processing pipeline: proxy conversion, AI-proposed semantic chunking, hand-pose reconstruction, action labeling and compression. You will own the model stages of that pipeline — improving their accuracy, making them run reliably on GPU workers, and moving research wins into production.

This is an applied role. The goal is a measurable number — for example pushing automatic chunking to the point where annotators only handle the exceptions.

What You'll Do

• Improve our automatic chunking and action-labeling stages against hand-verified golden benchmarks.
• Integrate and tune state-of-the-art hand and body reconstruction models on egocentric footage.
• Package models as pipeline stages: containerized GPU workers with retries, heartbeats and clear input/output contracts.
• Build evaluation harnesses so every change is scored before it ships.
• Own the GPU setup: experiment tracking, reproducibility and cost-aware scheduling.
• Work with the Data Science and annotation teams to close the loop between model errors and labeling guidelines.

Who You Are

• 3+ years of applied ML with strong PyTorch skills and a track record of shipping models into production, not only notebooks.
• Hands-on with video understanding: action recognition or segmentation, vision-language model prompting and evaluation, or pose estimation.
• Comfortable with large multimodal datasets — video, depth, IMU and pose at scale — and the storage and dataloading realities that come with them.
• Rigorous about evaluation: you design the benchmark before you train the model.
• Bonus: experience with workflow engines such as Temporal, Docker on GPU hosts, or imitation-learning stacks (ACT, Diffusion Policy, LeRobot).

Why Humaid

• Models you ship process every hour we record — the impact is immediate and measurable.
• Data almost nobody else has: synchronized egocentric, hand-pose and depth streams captured on live industrial floors.
• Small team, real deployments, minimal bureaucracy.
• Competitive salary plus the everyday perks that matter — sports and wellness memberships, team events, and the equipment you need to do your best work.