Motional is looking for a Machine Learning Engineer to work on the core technology that interprets complex driving scenes and generates safe, comfortable trajectories for a robotaxi. You will use deep neural networks and be directly responsible for the training, evaluation, and deployment of ML models for scene understanding, behavior prediction, and planning.
What You'll Do
- Design and execute high-value experiments based on collaborative input from other machine learning engineers.
- Prototype and implement continuously improving metrics to evaluate the performance of behavioral models across many scenarios and robotaxi capabilities.
- Release major model updates timely, including analysis of both off-line and on-road evaluation data.
- Stay up to date with the latest industry trends and propose new architectures and network designs based on published literature.
- Maintain a high-quality training and evaluation code-base, including portions dedicated to dataset generation and evaluation.
What We're Looking For
- In-depth understanding of common Machine Learning and Deep Learning algorithms.
- Experience designing, training, and analyzing neural networks for at least one of: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking.
- Strong track record of tackling less well-defined problems and executing efficiently to deliver successful outcomes.
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods.
- Experience with PyTorch or other python-based deep learning frameworks.
- Experience working with large data sets and deriving insights from data.
- Experience mentoring and collaborating with others.
- Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience.
Nice to Have
- Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.).
- PhD in machine learning, computer vision, or robotics vision.
- Experience working on autonomous vehicles or related fields.
- Experience in deploying models into real-world environments.
- Strong programming skills in C++ and/or CUDA programming.
Technical Stack
- PyTorch
- Python
- C++
- CUDA
Team & Environment
You will work with world-class ML engineers and research scientists.
Benefits & Compensation
- Compensation: $146,000—$225,000 USD + equity, which may include company equity.
- Medical, dental, and vision insurance
- 401k with company match
- Health saving accounts
- Life insurance
- Pet insurance
Work Mode
This is a remote position open to candidates within the United States.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees.
