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Avride · 2 months ago

Robot Motion Planning & Prediction - ML Engineer

Austin, TX

Full-time

Onsite

Mid Level

3+ years exp

Avride is an autonomous driving company focused on enhancing transportation safety and efficiency through innovative technology. They are looking for an ML Engineer to develop and deploy an ML-based motion planning stack for outdoor delivery robots, ensuring robust performance in complex urban settings.

Artificial Intelligence (AI)AutomotiveAutonomous VehiclesRobotics

No H1B

Responsibilities

Develop closed-loop behavioral models of agents using behavioral cloning and related learning techniques

Build a simulation framework that uses these models to generate realistic multi-agent interactions

Design, train, and evaluate ML-based motion planner that operate safely and efficiently in real-time environments

Define evaluation metrics and run large-scale experiments in both simulation and live-ride testing

Collaborate with planning, simulation, and perception teams to integrate your models into the full autonomy stack

Qualification

ML engineering experiencePythonPyTorchC++Machine learning fundamentalsMotion planningRobotics simulation toolsBehavioral cloning

Required

3+ years of ML engineering experience or a PhD in a related field

Strong Python skills and experience with PyTorch

Knowledge of modern C++ and a solid understanding of high-performance code design

Solid understanding of machine learning fundamentals and ability to design, train, and evaluate ML models end-to-end — including data preparation, training pipelines, and validation

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available