Machine Learning Engineer


Our client is looking for a Machine Learning Engineer to join an exciting autonomous driving start-up in Cambridge, MA. They're working on state-of-the-art algorithms to develop a human-like, predictive AI system for autonomous vehicles to navigate complex environments.

The ideal candidate has several years of work experience.

Role responsibilities include:

  • Working on the intersection of sensing and perception algorithms.
  • Prototyping and deploying robust computer vision algorithms on their vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
  • Benchmarking and maintaining developed modules.

Required Qualifications

  • Degree in Computer Science, Electrical Engineering, Robotics or related field.
  • Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
  • Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real-world data.
  • Strong Python and/or C++ skills.
  • Passionate about self-driving vehicles and real-world robotic solutions.
  • Strong presentation and communication skills.

Preferred

  • Publication record in top-tier computer vision or machine learning conferences.
  • 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
  • Robotics/autonomous experience is a plus.