Senior CVML Research Scientist: Edge AI & Vision

University of Georgia- FACS

Seattle (WA)

Ibrido

USD 160.000 - 256.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Competitive salary
401k with employer match
Discretionary paid time off
Parental leave
Medical, Dental, Vision plans
Fitness programs
Mental wellness support
Learning & development
Snack-friendly offices

Descrizione del lavoro

Axon is seeking a Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). You will advance CVML and multimodal technology, train models, and collaborate with product managers and engineers to create responsible AI capabilities for Axon products.

The role is based in Seattle with a hybrid schedule, onsite Tue–Fri and remote Mon. You will lead research, publish findings, and mentor junior scientists while contributing to real-world impact.

Competenze

  • PhD in Computer Science or related field required.
  • 3+ years of experience in CV/ML research.
  • Experience leading ML development cycles and delivering scalable models.

Mansioni

  • Lead end-to-end research in CVML and multimodal AI.
  • Develop and validate high-quality models for real-world use.
  • Collaborate with product managers, engineers and teams across functions.
  • Publish findings, contribute to papers and patents, and mentor juniors.

Conoscenze

PhD
Computer vision
Machine learning
Python
PyTorch
TensorFlow
Communication skills

Formazione

PhD in Computer Science or related field

Strumenti

PyTorch
TensorFlow
Keras

Descrizione del lavoro

Axon is seeking a Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). You will advance CVML and multimodal technology, train models, and collaborate with product managers and engineers to create responsible AI capabilities for Axon products.

The role is based in Seattle with a hybrid schedule, onsite Tue–Fri and remote Mon. You will lead research, publish findings, and mentor junior scientists while contributing to real-world impact.

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