Senior Computer Vision Data Scientist

PhysicsX

New York, United States
Base: $120,000 - 240,000 depending on experience; ...
On-site
Deep expertise in computer vision and deep learning
Experience with pretrained vision encoders like vit or resnet
Ability to build joint models combining visual and tabular data
PhysicsX is building an AI-driven simulation software stack to accelerate hardware innovation across advanced industries

Job Summary

  • PhysicsX is building an AI-driven simulation software stack to accelerate hardware innovation across advanced industries.
  • The role involves leading the development of physics-informed predictive maintenance systems that fuse inspection imagery with operating history.
  • Candidates will receive equity options, comprehensive health insurance, and enhanced parental leave including 6 months full pay maternity leave.

Matching Summary

PhysicsX is building an AI-driven simulation software stack to accelerate hardware innovation across advanced industries.

Salary

Base: $120,000 - 240,000 depending on experience; Bonus/Equity: Equity options available; Benefits: 5% 401(k) contribution, private health insurance, free weekly team lunch

Skills & Requirements

Must-have

  • Deep expertise in computer vision and deep learning
  • Experience with pretrained vision encoders like ViT or ResNet
  • Ability to build joint models combining visual and tabular data
  • Hands-on experience with probabilistic or Bayesian output modeling
  • Production ML mindset for scalable enterprise pipelines
  • Strong command of gradient-based interpretability methods

Nice-to-have

  • Experience with physics-informed or hybrid ML approaches
  • Domain experience in aerospace, energy, or heavy industry
  • Comfort working directly with domain experts and customers
  • Genuine curiosity about engineering domains and asset operations
  • Ability to co-develop solutions on-site with customers

Key Requirements

  • PhD or equivalent research experience in computer vision or machine learning preferred
  • Proven ability to handle sparse data and inconsistent image quality
  • Experience deploying reliable pipelines within enterprise cloud environments

Work Rights

Not specified

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