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AI Perception Systems Engineer

Hannah Cohen

Full-time · Job · New_York

About the role

The models you'll ship power depth estimation and 3D reconstruction systems used across every research project in our lab, from robotics manipulation to autonomous mapping. We publish internally and encourage conference submissions, and you'll be expected to read recent computer vision papers and turn promising ideas into working PyTorch implementations within weeks, not months. This is a research-driven environment where code quality matters as much as novelty. This is an on-site role at our lab, working alongside the existing 3D reconstruction and depth estimation researchers on shared infrastructure and datasets.

Responsibilities

  • Implement recent computer vision research in PyTorch
  • Build shared perception infrastructure used across research projects
  • Benchmark new methods against existing depth and reconstruction baselines
  • Contribute to internal publications and conference submissions

Requirements

  • 5+ years of applied computer vision research or engineering
  • Strong PyTorch and NumPy fundamentals
  • Track record of implementing papers from scratch
  • Comfortable working on-site with a research team daily

Benefits

  • Competitive salary
  • Conference travel budget
  • On-site lab with dedicated compute
  • Health and dental insurance

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Categories

AI & Machine Learning Engineers

Skills

python pytorch computer vision numpy tensorflow

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Language

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Salary Range

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AI Expertise

AI & Machine Learning Engineers

Skills

python pytorch computer vision numpy tensorflow

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