Senior Machine Learning Engineer - ML Agents and Planning
Develops ML models using imitation and reinforcement learning for agent behavior prediction and autonomous vehicle planning. Requires PhD +1 year or MSc +5 years experience, expertise in RL, transformers, and production ML pipelines.
242k – 290k/yr
On-site1+ YOEML Engineering
About the role
Responsibilities
Develop deep learning models using imitation learning and reinforcement learning for human-like agent driving plans.
Create novel techniques to estimate driving plan quality (safety, progress, comfort, realism).
Contribute to large-scale ML infrastructure to discover solutions and advance the field.
Develop metrics and tools to analyze errors and improvements.
Collaborate with Perception, Planning, Simulation, and Validation engineers on autonomous driving.
Qualifications
PhD in computer science or related field +1 year professional experience (top-tier publications may substitute), or MSc +5 years professional experience.
Experience in Planning/Prediction using Reinforcement Learning.
Experience training and deploying transformer-based models.
Experience with production ML pipelines: dataset creation, training frameworks, metrics.
Design, train, and integrate ML models for semantic map element detection in autonomous vehicles. Requires 5+ years experience, MS/PhD in CS, expertise in computer vision, deep learning, and PyTorch.
242k – 290k/yr
On-site5+ YOEML Engineering
Senior Machine Learning Engineer - Perception
ZooxFoster City, CA +1
Develops cutting-edge perception models using fused sensor data for autonomous vehicles, focusing on joint detection/tracking and embeddings for downstream systems. Requires MS/PhD in CS, PyTorch experience, and production deployment skills.
242k – 290k/yr
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SigmaNew York, NY +1
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On-site10+ YOEML Engineering
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AttentiveSan Francisco, CA +1
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Hybrid6+ YOEML Engineering
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SentrySan Francisco, CA
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