WHO WE ARE

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. .
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.

REQUIRED QUALIFICATIONS

• 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 QUALIFICATIONS

• Master’s or PhD in Computer Science.
• Experience with synthetic training data.
• Previous experience with generative ML models, e.g. diffusion models,
• Top-tier publications in related fields (e.g., CVPR, ECCV, ICCV, IJCV, ICML, NeurIPS, JMLR, PAMI, SIGGRAPH, TOG)
  The base salary range for this position is $139,000-$223,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
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  Associate

ROLE/TEAM OVERVIEW:

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.

IN THIS ROLE, YOU WILL

• 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.