Sr. Machine Learning Engineer, Autonomous Driving & Parking

Expert-level proficiency in Python and ML libraries such as PyTorch or TensorFlow

Solid understanding of state-of-the-art ML techniques and DL

transformers), and their application to ADAS perception and planning stacks

Proven experience building reliable production systems with large-scale architecture, evaluation pipelines, scalable and efficient deep learning models, and performance metrics

Proficiency in C++ and strong hands-on experience with software engineering design principles

Background in at least one of the following is a must: perception, prediction or planning in ADAS, environment modeling, autonomous vehicles or robotic applications

: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our

Candidate Privacy Notice

. If you are a California resident, please refer to our

California Candidate Privacy Notice

.