Avride
Machine Learning Engineer – Motion Planning & Prediction
Austin, Texas · Full-time · Posted Aug 20, 2025
- Visa sponsorship
- Candidates must be authorized to work in the U.S.; the employer does not offer sponsorship.
About the job
Build, evaluate, and deploy machine-learning systems that predict road-user behavior and plan safe vehicle movements in real-world traffic.
What you'll do
- Design, train, and deploy behavioral prediction and motion-planning models for vehicles operating in traffic.
- Build safety-focused evaluation frameworks, analyze failures in real driving logs, and use findings to improve models and training data.
- Optimize inference for embedded hardware and maintain pipelines for large-scale vehicle sensor and simulation datasets.
What they ask for
- Hands-on experience in behavioral or trajectory prediction, motion planning, decision-making under uncertainty, or closely adjacent autonomy work for physical systems.
- Experience deploying machine learning on real-world hardware under real-time or resource constraints.
- Strong Python and production experience with PyTorch, TensorFlow, or JAX.
- Proficiency in C++ or Rust and ownership of a system from prototype through deployment, including post-launch debugging.
Tools
Python, PyTorch, TensorFlow, JAX, C++, Rust
AI focus
Develop and deploy machine-learning models for multi-agent behavior prediction and motion planning in autonomous vehicles.
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