Argo Ai - San Francisco, CA

posted 10 days ago

Full-time
San Francisco, CA
Professional, Scientific, and Technical Services

About the position

As a CV/ML Engineer at Kargo, you will play a crucial role in developing and deploying advanced computer vision and machine learning solutions that enhance logistics operations. This position involves collaborating with hardware and software engineering teams to create scalable algorithms and infrastructure that optimize freight management and improve operational efficiency.

Responsibilities

  • Build CV/ML algorithms for various tasks around vision, including training and optimizing CV/ML models.
  • Build the backend or edge infrastructure to scale our training and inference workload, including training pipelines, evaluation, and model deployment.
  • Design and collect datasets, and train models.
  • Convert data to models and drive specs for data.

Requirements

  • 5+ years experience as a Computer Vision Engineer, Machine Learning Engineer, or similar role.
  • Experience in Python, with knowledge of PyTorch; Java and C++ are pluses.
  • Experience building and deploying large-scale machine learning models with feedback loops for continuous improvement.
  • Experience building performant, distributed training and inference pipelines on very large datasets.
  • Comfortable with full-stack/backend development to build a strong understanding of underlying data structures and other dependencies.
  • Experience building and optimizing CV models or algorithms on the edge.
  • Degree in Computer Science, Math, Statistics, Engineering, or a related quantitative field, or equivalent experience.
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