Research Scientist – Neural 3D Objects

Mecka • Richmond Hill, ON

2d • CA$200,000 - CA$230,000

About The Position

Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

We're looking for a neural objects researcher to own the architecture for generating 3D objects from video. Given egocentric footage of someone manipulating an object, you build the models that recover its geometry — and, ultimately, a simulatable asset with the physical properties to drop into a physics simulator.

You'll own the hardest, most open part of the objects effort: reconstructing objects that are small in frame, partly occluded by the hand, and sometimes deformable. You'll push the frontier, then hand results to the integrations researcher who takes them into the production pipeline.

This is a research role for someone who wants an open, unsolved problem on real, large-scale data — not a fully-specified spec.

Requirements

• Strong 3D / neural-reconstruction research. Neural implicit or explicit 3D, 4D reconstruction, or generative 3D — you've worked at this frontier.
• Deep-learning depth. You design and train models, and can read and reproduce frontier papers.
• 3D geometry foundation. Structure-from-motion / multi-view geometry, meshes, and differentiable rendering.
• Research taste. You can find the tractable decomposition of a hard, open problem and make steady progress on it.
• Engineering to match. You prototype fast in clean Python / PyTorch and can get a research idea working on real data.

Nice To Haves

• Generative 3D (diffusion / feed-forward 3D-generation families).
• Differentiable rendering, NeRF, or Gaussian splatting.
• 4D / dynamic-scene reconstruction from video.
• Physics simulation and rigging — turning geometry into a simulatable asset.
• Hand-object interaction; publications at top vision or graphics venues.

Responsibilities

• Neural 3D reconstruction. Models that recover object geometry from monocular / egocentric video — sequential and multi-view approaches robust to occlusion and low resolution.
• Generative refinement. Use generative 3D to complete and clean up partial reconstructions while rejecting hallucinated geometry.
• Toward simulatable objects. Move beyond geometry toward assets that carry physical properties and rigging, so a reconstructed object can be simulated, not just rendered.
• Contact-aware reconstruction. Use hand contact as a signal to constrain object shape and pose where the hand touches the object.
• Deformables. Take on the genuinely hard frontier — objects that change shape as they're handled.
• Prototype & hand off. Build research prototypes and hand them to the integrations researcher for productization; publish where it makes sense.

Benefits

• Inclusive Hiring at Mecka
• Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation.
• Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law.
• We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category.
• Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed