- 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.
Requirements
- 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++
Core Competencies
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.
Highest-signal resume keywords
- PhD In Computer Science
- Reinforcement Learning Techniques
- Transformer-Based Model Architectures
- Production Machine Learning Pipelines
- Fluency In Python
ATS Optimization Keywords
Hard Skills
- Deep Learning Models
- Imitation Learning
- Reinforcement Learning
- Planning
- Prediction
- Metrics Development
- Error Analysis
- Dataset Creation
- Training Frameworks
- Model Deployment
Industry Keywords
- Autonomous Driving
- Safety
- Comfort
- Realism
- Collaboration
Tools & Technologies
- Machine Learning Infrastructure
- Python
- C++