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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - Motion Planning & Prediction - **Company:** AVRIDE - **Location:** Austin, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Training Data, Big Data, C++ (Programming Language), Software Debugging, Python (Programming Language), Machine Learning, Motion Planning, Tensorflow, Data Processing, Pytorch, Mobile Robots, Deep Learning - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/machine-learning-engineer-motion-planning-prediction-avride-8105996 ## About the Role * 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 ## Description Our team develops the core software and data processing systems that power motion planning and decision-making in autonomous vehicles. We work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control, collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities., We are looking for a creative & driven Machine Learning Engineer to join our autonomous vehicle team. You will be at the center of our efforts to build intelligent systems that can understand, predict, and safely navigate a complex and dynamic world. This role involves designing and training the next generation of deep learning models that form the brain of our vehicle, learning from petabytes of real-world driving data. If you are passionate about applying cutting-edge ML to solve high-stakes robotics challenges, we want to hear from you., You will design and train the models that anticipate what other road users will do next, and turn those predictions into driving decisions. This means working with petabytes of real driving data, building evaluation frameworks that actually correlate with on-road safety, and shipping models that run under hard latency budgets on embedded hardware. This is a production engineering role. You will spend meaningful time on failure analysis, long-tail scenarios, and the gap between offline metrics and on-road behavior. What You'll Do * Design, train, and deploy models for behavioral prediction and motion planning that run on vehicles in real traffic * Model multi-agent interaction and temporal dynamics - how a merge, an unprotected left, or an occluded pedestrian actually unfolds * Own the metrics: build evaluation frameworks that correlate with real on-road safety and performance, not just offline loss * Diagnose long-tail failures from real driving logs and close the loop back into training data and model design * Optimize trained models for real-time inference under strict latency, memory, and compute constraints on embedded hardware * Build and maintain data pipelines that process, clean, and label large-scale vehicle sensor and simulation datasets ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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