Machine Learning Engineer, Aurora

• Bachelor’s degree in Computer Science or a related field
• Strong critical thinking, collaboration, and communication skills
• Excellent software engineering skills in Python
• Experience in Deep Learning (2+ years preferred)
• Experience in Computer Vision or generative Computer Graphics
• Experience with Pytorch/Tensorflow/Jax or similar frameworks

Desirable

• Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Machine Learning Engineer, Synthetic Data
• We’re searching for an ML Engineer focusing on synthetic training data to join our Sensor Simulation And Synthetic World team. In this role, you will work with a world-class team to generate synthetic data to train and validate sensing models, helping to understand the world around the autonomous vehicle
• Work on research, development, and deployment of state-of-the-art methods in computer graphics/vision and machine learning
• Train sensing ML models on synthetic training data
• Collaborate across various cross-team projects, providing ample opportunities for growth and impact on the Aurora Driver
• Help unlock new sensing model capabilities using synthetic training data
• Develop generative AI data generation pipelines
• Surface high-impact findings to relevant Engineering leadership, keeping feedback loop going to influence Aurora’s synthetic data and ML strategy