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Machine Learning Engineer Intern
Confirmed live in the last 24 hours
Seattle, WA, USA • Santa Monica, CA, USA
Experience Level
Desired Skills
Computer Vision
Data Structures & Algorithms
  • Experience on modern software design, development, version control, refactoring and testing
  • Demonstrated experience implementing machine learning software, specifically computer vision detection algorithms like RCNN, SSD, YOLO, ResNet, DenseNet, etc
  • Experience on deep learning framework, PyTorch/TensorFlow/JAX
  • Experience with computer vision algorithms, image processing, feature extraction, tracking algorithms with OpenCV
  • Experience with product/services parallel computing, accelerator architecture, CUDA, CUDNN, TensorRT libraries
  • Experience with distributed/scalable systems infrastructure to operate algorithms as a software product
  • Experience with large scale datasets, data pipeline, databases tools/libraries
  • Excited about working in a fast-paced, dynamic startup environment
  • Work with the machine learning team to train and optimize the Metropolis computer vision and machine learning algorithms
  • Collaborate with the application development team to integrate and optimize the computer vision models with the existing backend systems
  • Work with the testing engineers on software-in-the-loop, hardware-in-the-loop and field testings

201-500 employees

Mobility & transportation commerce platform
Company Overview
Metropolis' mission is to make the journey of making cities better by bringing the ease of digital transactions to the physical world with mobility commerce, a new way to transact that connects transportation, payments, and local businesses for the first time. The company is building modern mobility commerce infrastructure that will allow us to transact in the physical world with the same ease we experience online.