Senior Staff Machine Learning Engineer, Perception

Who We Are

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 Senior Staff Machine Learning Engineer, Perception.

In this role, you will

• Collaborate with other members of the Perception autonomy team to improve / ideate and implement perception algorithms that power the Aurora Driver
• Serve as a technical expert for the team on at least one area related to machine learning, with particular focus on computer vision, recursive state estimation, structured prediction, optimization, and others
• Research and develop state-of-the art deep learning / machine learning models to improve our perception solutions under challenging and diverse scenarios (e.

g., on highways and city streets, long-range and multi-sensor object detection, detection under degraded sensors, etc.).

• Design, prototype and evaluate machine learning algorithms and DNN architectures for detection of traffic actors, their action recognition, and semantic understanding of various traffic scenes that the Aurora Driver encounters.
• Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver.

Required Qualifications

• Excellent software engineering skills in Python and / or C++
• Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow
• Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.

g., as evidenced by industry experience, publication record)

Desirable Qualifications (this section is optional)

• Relevant industry experience (prior work on self-driving vehicles, autonomy, and / or robotics projects)
• Contributions to open source project(s)
• Strong track record in any field related to machine learning, as evidenced by top-tier publications
• Examples of relevant fields and conferences : computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.

g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG

The base salary range for this position is $212K-$340K 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.

LI-MG1

Mid-Senior

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together all without any jerks.

We have offices inseveral locations across the United States, where we encourage team and cross-functional collaboration.

Aurora offers competitive medical, dental, and vision benefits, and additional healthcare support including medical transportation reimbursement, fertility, adoption, and surrogacy benefits.

We empower our employees and their families with options to further their unique physical, mental, and financial well-being.

Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora’s mission, continually up-leveling our team along the way.

Our Careers pageprovides insight into career opportunities at Aurora, and you can find all the latest news on ourBlog.

Safety is central to everything we do. Every employee at Aurora has a role in contributing to safety, every step of the way.

We seek candidates who take active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by working safely no matter what.

We believe that self-driving technology has broad benefits including increased access to transportation. To realize those benefits, we need a workforce with diverse experiences, insights, and perspectives a workforce that reflects the communities our technology will serve.

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject toAurora’s California Employment Privacy Policy.

Diversity, Equity and Inclusion

At Aurora, every employee is empowered to take an active role in building an inclusive, collaborative, and unified culture that leverages our diverse strengths, perspectives, and backgrounds.

Transforming how the world moves people and goods involves seeking to understand backgrounds, insights, and lived experiences that differ from our own.

One way we accomplish that is with our 15 employee-led Aurora Unified Groups, which support diverse voices and drive inclusive collaboration.

We believe that teamwork, belonging, and trust motivate and support our employees to do their best work. As our team grows, we strive to attract and retain exceptional talent that adds new perspectives and experiences and continues to drive innovation.

Learn more on our Culture Page.

We are committed to helping qualified military community members leverage their talents in service of our mission. To understand how your military experience aligns with career opportunities at Aurora, review your military job classification at MyNextMove.

org and consider applying for open positions corresponding to your identified skills and experiences!