Senior Machine Learning Engineer, Perception - Autonomous Driving

What you'll do

• Design end-to-end perception and autonomous-driving solutions for traffic-signal detection across varied driving environments.
• Research and develop deep-learning models for traffic lights, signs, road markings, construction objects, text recognition, and related tasks.
• Improve solutions through data-driven development, simulation, and augmentation, then productize them to meet safety, latency, and software-robustness requirements.

What they ask for

• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Hands-on experience developing deep learning and algorithms for real-world problems, and proficiency with deep-learning frameworks such as PyTorch.
• Experience in data-driven development and collaboration with data and ground truth teams.
• Strong programming skills in python and/or C++.

Nice to have

• 2+ years of technical leadership; expertise in generalizable camera-based perception for autonomous driving or robotics, or deploying DNN solutions to embedded platforms for real-time applications.
• Technical publications in leading conferences/journals; expertise with Visual Language Models, Transformers, BEV architectures, or modern traffic-signal perception techniques.

Pay

184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)

Tools

Artificial Intelligence, GPU Deep Learning, PyTorch, python, C++, Visual Language Models, Transformers, BEV architectures

AI focus

Applied research and development of deep-learning perception models for autonomous-driving traffic-signal understanding, with data-driven improvement and productization.