Machine Learning Research Engineer

Overview

We are looking for an experienced Machine Learning Research Engineer to join our fast-growing technology team. This role will require you to help with design, implement and commercialize driver monitoring and driver assistance algorithms. You will have access to very large datasets and will get to deploy new algorithms/models into thousands of vehicles.

Objectives & Key Results

  • Design and commercialize algorithms characterizing driving behavior.
  • Design, implement and track key metrics; and architect data-driven solutions.
  • Improve machine learning infrastructure for scalable training and inference.
  • Innovate and develop proof of concept solutions showcasing novel capabilities.

Requirements

  • PhD with 3+ years’ experience in Computer Science, Electrical Engineering or a related area.
  • Excellent programming skills- Python (required) and C++ (desired).
  • Research or industry experience with machine learning models.
  • Ability to take abstract product concepts and turn them into reality.
  • Ability to innovate on cutting-edge problems without documented solutions.
  • Publications in top conferences (CVPR/NeurIPs/ICML/ICLR) is a plus.

Desired Skills

  • Experience with image, video and time-series data.
  • Experience with road scene understanding (objects, lanes, interactions, signs, etc.)
  • Experience with person/driver scene understanding (pose, distracted, eye status etc.)
  • Experience with successfully applying machine learning to solve a real-world problem.
  • Experience with conducting successful statistical experiments.
  • Experience with Predictive analytics.

Machine Learning Research Engineer

Anywhere in the US San Diego
3+ years
VP of Engineering

Netradyne is an equal opportunity employer.

We are committed to an inclusive and diverse team. Netradyne is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

Applicants only – Recruiting agencies do not contact.

About you

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