Machine Learning Algorithm Engineer for Autonomous Driving
3 weeks ago
We're seeking a talented Machine Learning Algorithm Engineer to join our ADAS/Autonomous Driving team. As a key member of our perception team, you'll play a crucial role in designing, implementing, and optimizing machine learning models that push the boundaries of perception algorithms.
Key Responsibilities:- Design and develop cutting-edge deep learning algorithms for computer vision tasks, including 2D/3D object detection, segmentation, tracking, and multi-task learning.
- Work closely with other teams to ensure seamless and robust implementation of perception algorithms.
- Test, release, and launch perception algorithms into Lucid production programs.
- Support production validation and verification of perception algorithms using prototype vehicles and pre-production vehicles.
- Strong theoretical foundations and knowledge of state-of-the-art works in deep learning algorithms on object detection, tracking, segmentation, etc.
- Strong experience with Python programming language and good software engineering practices.
- Comfortable with reading, debugging, and modifying large codebases for a particular deep learning model.
- Experience with PyTorch or other ML frameworks like TensorFlow, MXNet.
- Excellent communication skills and good team player.
- Experience writing efficient, clean code in C++.
- Practical hands-on approach to complement theoretical knowledge and creativity required to solve Autonomous Driving challenges.
- Experience testing complex perception systems.
- Experience working in agile development teams.
- Competitive salary range: $156,000 - $195,000 USD.
- Comprehensive benefits package, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k.
- Opportunity to participate in Lucid's equity program and/or discretionary annual incentive program.
We're a community of innovators driven to create a better, more sustainable future. If you're passionate about machine learning and autonomous driving, we'd love to hear from you.
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