Machine Learning Engineer – Motion Planning & Prediction

Required

• Domain experience (required):
• Hands-on experience with at least one of: behavioral or trajectory prediction, motion planning, decision-making under uncertainty, or closely adjacent autonomy work (navigation, SLAM, control, or perception-for-planning) for autonomous vehicles, mobile robots, drones, or comparable physical systems
• Experience deploying machine learning to real hardware operating in the physical world, under real-time or resource constraints. Simulation-only or offline-only experience does not meet this bar.
• Engineering (required):
• Strong Python and production experience with a modern deep learning framework (PyTorch, TensorFlow, or JAX)
• Proficiency in C++ (or Rust) for performance-critical inference and integration code
• Demonstrated ownership of a system from prototype through deployment, including debugging it after it shipped
• How we evaluate: We weight what you have actually built and shipped far more heavily than credentials. We regularly hire people without advanced degrees and without prior autonomous-vehicle experience. What we look for is specific, verifiable engineering work systems you built, constraints you worked under, and failures you diagnosed and fixed
• 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.
• Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.