Senior Engineer (Autonomy - Perception & Prediction) (2703359)

Job Overview

Location
Venice
Job Type
Full Time
Date Posted
30 days ago

Job Description

Work with our ML modeling teams who are responsible for developing and deploying image, lidar and radar-based perception for our self-driving vehicles. Research and develop neural networks for perception and prediction problems such as object detection, instance segmentation, classification, future motion prediction, sensor fusion, and traffic light detection. Develop clean software for the perception modules that sit at the core of our autonomous vehicle perception and interface with all other key modules such localization, mapping, and planning. Develop core deep learning codebase for efficient training and testing pipelines. Conduct deep learning experiments, write reports, and file patents.
The position is fixed based in Venice, CA office; however, telecommuting from a home office location is allowed up to three (3) days per week.
40 hours/week, 9:00am-5:00pm
One (1) year of experience as a Research Engineer or related occupation. Experience must include:

One (1) year of experience in the following (experience may be gained concurrently):
Developing AV technologies as detection and tracking
Designing, training, and analyzing neural networks for at least one of the following applications: object detection, image segmentation, sensor fusion, or multitask learning
Understanding of common Machine Learning and Deep Learning algorithms for classification, regression, and clustering
Experience with Python
Experience with PyTorch or similar deep learning framework
Experience may be gained before, during, or after advanced degree issuance.
Requires a Master’s degree (or foreign equivalent) in Machine Learning, Computer Science, Robotics or a directly related field

Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at placementservicesusa.com with reference #2703359 in the subject line.
Thank you.

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