Remote ML Engineer for Perception & Computer Vision

AMP: AI-Powered Sortation for Waste and Recycling

Louisville (KY)

Hybrid

USD 162,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Paid time off
Eight paid holidays

Job summary

AMP Robotics is seeking a Machine Learning Engineer to join the Perception team, focusing on developing deep learning models and shipping them to production. You will contribute to state-of-the-art computer vision work and collaborate across the AI/Data teams.

The role requires 3+ years in Python production code, PyTorch DL experience, and a Master’s in CS/ML or equivalent. Remote/hybrid with travel to our Louisville, CO HQ is available.

Qualifications

  • Master’s degree or equivalent in CS/ML or related field.
  • 3+ years of production-level Python coding experience.
  • 3+ years implementing statistical models in production.
  • Strong engineering practices: version control, testing, CI/CD.
  • Proficiency with PyTorch and DL research fluency.
  • Experience with ML deployment and inference tooling.

Responsibilities

  • Prototype and implement deep learning perception solutions.
  • Experiment with modern neural architectures and publishable techniques.
  • Design experiments to validate R&D approaches.
  • Develop paths from research to production delivering impact.
  • Collaborate with AI Data Team managers and Cloud infra engineers.
  • Serve as SME for experiment design and statistical modeling.
  • Contribute to ML infrastructure improvements.

Skills

Python (production)
PyTorch
Experiment design
Deep learning

Education

Master’s degree in Computer Science/Machine Learning

Tools

TensorRT

Job description

AMP Robotics is seeking a Machine Learning Engineer to join the Perception team, focusing on developing deep learning models and shipping them to production. You will contribute to state-of-the-art computer vision work and collaborate across the AI/Data teams.

The role requires 3+ years in Python production code, PyTorch DL experience, and a Master’s in CS/ML or equivalent. Remote/hybrid with travel to our Louisville, CO HQ is available.

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