Machine Learning Engineer – ML Agents, Planning

• You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents.
• You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism.
• You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
• You will develop metrics and tools to analyze errors and understand improvements of our systems
• You will collaborate with engineers on Perception, Planning, Simulation, and Validation to solve the overall Autonomous Driving problem.

• PhD degree in computer science or related field or master's degree and 5+ years of professional experience in a relevant field.
• Experience in Planning and / or Prediction using Reinforcement Learning techniques
• Experience with training and deploying transformer-based model architectures
• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Fluency in Python with a basic understanding of C++

Expertise in developing deep learning models for autonomous driving, with a focus on imitation learning and reinforcement learning. Proficient in creating and analyzing machine learning pipelines, metrics, and tools to enhance system performance and safety.

• PhD In Computer Science
• Reinforcement Learning Techniques
• Transformer-Based Model Architectures
• Production Machine Learning Pipelines
• Fluency In Python

• Deep Learning Models
• Imitation Learning
• Reinforcement Learning
• Planning
• Prediction
• Metrics Development
• Error Analysis
• Dataset Creation
• Training Frameworks
• Model Deployment

• Autonomous Driving
• Safety
• Comfort
• Realism
• Collaboration

• Machine Learning Infrastructure
• Python
• C++