Research Engineer, Learnable Planner (Integration)
New
Remote US & Canada / Dallas, TX / Phoenix, AZ / Pittsburgh, PA / San Francisco, CA / Toronto, ONFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningPyTorchC++RustDeep LearningComputer Vision
Requirements
- MS/PhD in machine learning, computer science, engineering, or a related field; exceptional Bachelor’s students will also be considered
- Experience in ML-based or classical techniques for planning/decision making
- Passion for taking research ideas and turning them into practical solutions for real-world applications
- Solid understanding of computing fundamentals, including code efficiency
- Experience in deep learning frameworks such as PyTorch
- Proficiency in Python, Rust, C++ and/or CUDA
Responsibilities
- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
- Champion engineering excellence, ensuring high-quality, well structured and tested code
- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies
- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator
- Contribute to the publication of research findings in conferences as well as Waabi's blog
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