Wellington Steele and Associates

Senior Deep Learning Engineer - REMOTE

Location US-MD-Gaithersburg




Recruiting for a REMOTE direct hire/fulltime Senior Deep Learning Engineer for our client in Gaithersburg, MD.


We are only considering US Citizens or Green Card holders.


Company Overview

Our client has been developing cutting-edge software and hardware since 2002 and specialize in developing solutions for trucking, transit, logistics, and drone applications. They have autonomous vehicles operating today in four continents, including the largest autonomous truck fleet in the world and the first autonomous bus in North America.  


They offer a fast-paced environment where engineering comes first, and a breadth and depth of skills, knowledge, and interests are highly valued.


Candidates will have ample opportunities to get their hands dirty testing their designs in our 40,000 square foot engineering and test facility with 241 acres of testing area.


In this role, you will be collaborating with a proven team of roboticists and entrepreneurs to provide comprehensive solutions that not only handle the ideal conditions, but in realistic, complex, and sometimes rugged conditions.


Job Description

Recruiting for a full-time Senior Deep Learning Engineer. Deep Learning is a key component in how our autonomous systems perceive the world. Deep Learning perception plays a critical role in smoothly driving our vehicles in a variety of applications, including on-road mixed traffic and off-road autonomous applications.


We are looking for a Deep Learning specialist to implement, tune, and test novel algorithms to enhance components such as segmentation, object classification, terrain classification, clustering, and tracking.  You will also work closely with others to build the next-generation of autonomous sensing algorithms.


Job Role

  • Develop novel and efficient real time solutions for a wide variety of perception tasks.
  • Research and apply deep learning to detection and perception challenges
  • Understand new perception challenges by analyzing the real world data collected on our vehicle fleet.
  • Creatively and collaboratively build deep learning models that can predict the future behavior of other road users in real-time


Qualifications and Requirements

  • Degree in computer science, robotics, or related field, or with equivalent industrial experience
  • 2+ years of similar academic and/or professional working experience
  • Software development experience in C++ and python
  • Experience with at least one existing deep learning frameworks like Pytorch, Tensorflow, Caffe or other relevant machine learning libraries.
  • Knowledge of deep learning topics such as detection, segmentation, pose estimation, and spatio- temporal analysis.
  • Relevant publications in conferences is a bonus. 


Preferred Skills

  • Experience in applying deep learning on autonomous vehicles.
  • Experience in traditional ML methods (eg, regression, decision trees, and kernel methods) and strong knowledge of optimization.

 and embedded operating systems


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