Full-time jobs in Pittsburgh, PA

About the role

As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...

What you'll bring

• 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 (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).
• Passion for taking research ideas and turning them into practical solutions for real-world applications.
• Open-minded and collaborative team player with willingness to help others.
• Solid understanding of computing fundamentals, including code efficiency.
• Experience in deep learning frameworks such as PyTorch.
• Proficiency in Python, Rust, C++ and/or CUDA.
• Experience deploying ML/DL models to a production motion planning or related robotics stack.
• Experience in iterating on a model including evaluation, introspection and fine-tuning.
• Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
• Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.

Benefits

Locations