- Deep expertise in Deep Learning, 3D Computer Vision, and specifically Articulated Tracking / Hand Pose Estimation.
- Proven experience training large-scale vision models from scratch, not just running inference or fine-tuning existing checkpoints.
- Strong theoretical and practical understanding of parametric hand models, inverse kinematics, and dense mesh estimation.
- Mastery of PyTorch and deep learning scaling frameworks.
- Experience handling and curating massive, multi-terabyte image and video datasets for training.
- Comfortable operating in a fast-paced environment where priorities can shift rapidly to capitalize on new research or hardware capabilities.
Strong Signals
- First-author publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS) focusing on 3D hand tracking, hand-object interaction (HOI), dexterous manipulation, or human mesh recovery.
- Specific experience working with massive egocentric manipulation datasets (e.g., Ego4D, Ego-Exo4D, DexYCB, Epic-Kitchens) and solving the unique optimization challenges they present.
- Experience writing custom CUDA kernels to accelerate 3D operations, differentiable rendering of meshes, or collision/contact computation.
WHY THIS ROLE?
- The Data Advantage: You will have access to a scale and quality of proprietary spatial and temporal ground truth for human manipulation that most academic researchers only dream of.
- Pure R&D & Model Ownership: You are not maintaining legacy systems; you are given a blank slate and the compute resources to build the state-of-the-art.
- High Impact: The kinematic priors and interaction models you architect will directly define how the next generation of embodied AI agents learn to physically grasp and manipulate the world.
Warning: Research Scientist positions require hyper-specific expertise. Please limit your applications to one research role. Applying to multiple Research Scientist positions suggests a lack of focus and may result in the rejection of all submissions. You may, however, apply to other non-research roles alongside your research application.
If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.