Machine Learning Engineer, Synthetic Data (Mountain View)

Software Autonomy Sensing Mountain View, California

Who we are

Auroras 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. For the latest news from Aurora, visitaurora.tech or follow us onLinkedIn .

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. Were searching for a Machine Learning Engineer, Synthetic Data .

Role/Team overview:

Were 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.
• Surface high-impact findings to relevant Engineering leadership, keeping feedback loop going to influence Auroras synthetic data and ML strategy.

Required Qualifications

• Bachelors 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

• Masters 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. Auroras pay ranges are determined by role, level, and location. Within the range, the successful candidates 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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Commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] .

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