Research Scientist – Computer Vision (Hand Tracking & Manipulation)

Sourced from emploive.com

Mecka AI builds the data infrastructure layer for robotics and embodied AI and is hiring a Research Scientist to architect and train proprietary foundation models for 3D hand tracking, articulated pose estimation, and dense mesh recovery. You will own the complete hand-object perception loop, developing robust interaction models for heavily occluded egocentric manipulation and bridging human video data with downstream robotic control policies. The role offers a continuous stream of proprietary ground-truth manipulation data plus the compute resources to train networks that surpass current public baselines.

• Design, implement, and train state-of-the-art networks for 3D hand pose estimation, dense mesh recovery, and kinematic tracking
• Scale multi-view and temporal ML architectures across multi-GPU clusters on massive multi-modal hand datasets
• Develop novel loss functions enforcing biomechanical constraints, temporal smoothness, and physical plausibility
• Build custom architectures for egocentric hand-object interaction handling motion blur, self-occlusion, and rapid rotations
• Track objects through complex grasps, segment tools from hands, and map contact points and forces for downstream robotics models
• Rapidly prototype models for tactile-visual fusion, fine-grained action segmentation, and novel sensor integrations
• Integrate tracking outputs into pipelines that reason about contact surfaces and object affordances for robotic control