
Machine Learning Engineer for Autonomous Driving
1 week ago
We are seeking an exceptional Machine Learning Engineer to join our team in the field of autonomous driving.
As a key member of our perception team, you will have the opportunity to work with world-class ML engineers and research scientists who are passionate about making self-driving vehicles a reality.
Our team is responsible for developing the technology that enables our robo-taxi to perceive its surroundings and make decisions in real-time.
We are looking for an engineer who is excited by intellectual challenges and has a strong background in machine learning.
Job Responsibilities:
- Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
- Productionize and deploy large perception models on edge devices with optimization techniques in mind (e.g. pruning, quantization).
- Optimize training with large data and distributed machines.
- Collaborate with cross-functional teams to implement scalable solutions and improvements.
- Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.
Requirements:
- Bachelor's Degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field.
- 3+ years of experience with deep learning frameworks such as PyTorch.
- Strong programming skills in C++, TensorRT, and/or CUDA programming.
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics.
Bonus Points:
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry.
About Us:
We are a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality.
We are driven by something more than just technology - we want to create safer roadways, more equitable transportation options, and make our communities better places to live, work, and connect.
We are creating first-of-its-kind technology that will transform transportation.
We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization.
Diversity helps us see the world differently - it's not only good for our business, it's the right thing to do.
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