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About Us Sieve is a multi-modal lab curating the world's highest-quality training datasets, spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding…
Sieve is hiring its first Robotics Researcher to lead training and evaluation of world-action models and 3D perception systems, connecting physical-world data capture and curation to measurable gains in robot learning. The role involves data ablations, action-conditioned world models and policies, 3D labeling pipelines from video, and rigorous evaluation design, using Python with PyTorch or JAX.
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