Job Description
This role involves advancing machine learning models for autonomous vehicles by developing perception and behavior systems, experimenting with state-of-the-art architectures, and deploying solutions on real-world self-driving hardware.
Key Responsibilities
- Develop and advance end-to-end machine learning models for autonomous vehicles, including perception and behavior generation.
- Experiment with and implement state-of-the-art ML architectures using large-scale datasets and compute infrastructure.
- Research and apply novel solutions to complex AV challenges such as long-tail event handling, safety, and verifiable reasoning.
- Collaborate with autonomy teams to identify challenges and design holistic, learned solutions.
- Build and optimize data, training, evaluation, and validation pipelines for deploying models to autonomous vehicles.
Requirements
- A Master of Science (M.S.) or Doctor of Philosophy (Ph.D.) degree is preferred in Computer Science, Artificial Intelligence, Robotics, or a closely related field.
- At least 3 years of experience focusing on one or more of the following areas: Machine Learning, End-to-End Autonomous Driving Models, Imitation Learning, Reinforcement Learning, or World Models.
- Subject matter expertise and research experience in Machine Learning.
- Strong problem-solving skills and programming skills in Python are required.
- Programming skills in C are preferred.
- Ability to utilize coding best practices as a part of work.
- Demonstrated research publications at major conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, RSS, or ICRA.
- Ability to work independently to push multi-faceted projects forward, collaborate across organizations, and deliver results in a timely manner.
Benefits & Perks
Compensation/salary range: $183,825.00 to $275,975.00 per year
Work schedule: Not specified
Work environment perks: Annual performance bonus, equity, competitive benefits package
Additional benefits: Opportunities for research publication, collaborative work environment, diverse and inclusive workplace
Ready to Apply?
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