5 дней назад
Research Scientist (Embodied AI)
170 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Scientist (Embodied AI): Architecting and training proprietary foundation models for 3D hand tracking, articulated pose estimation, and egocentric hand-object interaction with an accent on large-scale distributed training, dense mesh recovery, and physics-aware perception. Focus on designing novel loss functions, modeling occluded manipulation scenes, and connecting contact-aware tracking pipelines to embodied robotics systems.
Location: New York, United States; On-site
Salary: $170,000–$210,000 per year, plus equity opportunities
Company
builds data infrastructure for robotics and embodied AI, including data capture, labeling, and hardware-enabled workflows for AI labs and robotics companies.
What you will do
- Design, implement, and train proprietary models for 3D hand pose estimation, dense mesh recovery, and kinematic tracking.
- Scale multi-view and temporal architectures across multi-GPU clusters and massive multimodal datasets.
- Develop models for egocentric hand-object interaction under motion blur, self-occlusion, and rapid rotations.
- Track objects through complex grasps, segment tools from hands, and model contact points and forces.
- Prototype perception systems for tactile-visual fusion, action segmentation, and new hardware sensors.
- Integrate tracking outputs into optimized pipelines for physical contact, object affordances, and robotic control policies.
Requirements
- Deep expertise in deep learning, 3D computer vision, articulated tracking, and hand pose estimation.
- Proven experience training large-scale vision models from scratch.
- Strong understanding of parametric hand models, inverse kinematics, and dense mesh estimation.
- Expertise with PyTorch and deep learning scaling frameworks.
- Experience curating massive, multi-terabyte image and video datasets.
- Ability to work in a fast-paced research environment with rapidly changing priorities.
Nice to have
- First-author publications at CVPR, ICCV, ECCV, NeurIPS, or similar venues in relevant research areas.
- Experience with egocentric manipulation datasets such as Ego4D, Ego-Exo4D, DexYCB, or EPIC-Kitchens.
- Experience writing custom CUDA kernels, differentiable mesh rendering, or collision and contact computation.
Culture & Benefits
- Access to proprietary, high-quality spatial and temporal manipulation data.
- Blank-slate research and model ownership without legacy-system maintenance.
- Compute resources for state-of-the-art model development.
- Research outputs directly influence embodied AI agents and robotic manipulation.
- Equity, health and wellness benefits, and other company programs may be included in total rewards.
- Inclusive hiring practices and interview accommodations are available.
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