Computer Vision Engineer (3D / Spatiotemporal AI) – Next-Gen Animal Intelligence Platform

We’re building something that doesn’t exist yet.

At NeuralX, we are pushing the frontier of 3D computer vision and spatiotemporal AI to understand animal behavior and biomass in real-world environments — not in controlled labs, but in complex, dynamic, underwater ecosystems.

This is not a typical “train a model on a clean dataset” role.

You’ll be working on noisy, real-world, multi-camera data, solving problems that sit at the intersection of:

3D reconstruction

Multi-view geometry

Temporal modeling

Behavioral understanding

Applied AI in physical environments

If you like working on problems where the data is imperfect, the physics matters, and the solution isn’t obvious, you’ll enjoy this.

What You’ll Work On

Fine-tuning and improving existing models for:

3D biomass estimation

3D behavioral analysis of animals (trajectory, interaction, patterns)

Multi-camera calibration and synchronization challenges

Spatiotemporal modeling (tracking + sequence understanding)

Handling underwater-specific constraints (visibility, distortion, occlusion)

Improving robustness in production-like environments

Ideal Background

You don’t need to check every box, but strong candidates typically have:

Solid experience in computer vision / deep learning

Hands-on work with:

3D vision (SfM, MVS, NeRF, depth estimation, etc.)

Object tracking / multi-object tracking

Video understanding / temporal models

Strong PyTorch (or equivalent) experience

Ability to debug and iterate in messy, real-world datasets

Bonus points:

Experience with underwater / low-visibility environments

Familiarity with geometry-heavy pipelines

Experience deploying models in production or near-production settings

Why This Is Interesting

You’ll work on real-world impact problems (not benchmark chasing)

The system combines physics + AI + geometry, not just end-to-end black boxes

Opportunity to shape the core intelligence layer of the product

Small, highly technical team — fast iteration, high ownership

Direct exposure to cutting-edge applications of spatial + temporal AI

Engagement

Flexible (project-based → long-term possible)

Remote-friendly, async collaboration

We care more about capability and thinking than credentials

To Apply

Please include:

Relevant projects (GitHub, papers, demos)

Brief explanation of a hard vision problem you solved

Your experience with 3D or temporal modeling (if any)

If you’re excited by solving unsolved problems in the wild, we should talk.

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