Motional is seeking a Senior Machine Learning Engineer for their Data Mining team in Pittsburgh, focused on developing advanced multimodal models that enhance autonomous vehicle intelligence. The role requires extensive experience in machine learning, particularly in model distillation and reinforcement learning
Job Summary
Design and implement teacher-student model frameworks for multimodal sensor data, developing training pipelines for knowledge distillation to ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
Build RL-based policy learning and reasoning systems for autonomous driving applications, implementing and scaling RL training workflows for simulation and real-world interaction.
Collaborate with backend engineers to deploy distilled and RL models into production, optimizing for latency, throughput, and hardware efficiency across GPU/CPU clusters.
Matching Summary
Match Score: 85
Motional is seeking a Senior Machine Learning Engineer for their Data Mining team in Pittsburgh, focused on developing advanced multimodal models that enhance autonomous vehicle intelligence. The role requires extensive experience in machine learning, particularly in model distillation and reinforcement learning.
Salary
$172,000 - $229,000 USD
Skills & Requirements
Must-have
Multimodal sensor data understanding
Teacher-student model frameworks
Reinforcement learning for data discovery
Production ML model deployment
Python and ML frameworks (PyTorch, TensorFlow, JAX)
Nice-to-have
Agentic workflows for autonomous reasoning
Autonomous driving or robotics background
Multimodal learning and sensor fusion
Active learning loops for data mining
Key Requirements
BS in Computer Science, Machine Learning, or related field, or equivalent professional experience
6+ years of hands-on experience in machine learning engineering
Strong experience with model distillation or teacher-student training
Proven experience with reinforcement learning
Strong software engineering fundamentals
Experience deploying ML models in cloud environments