Senior Machine Learning Engineer (Aurora)
Full Time
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Mountain View, CA
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Aurora
Who We Are Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling trucks to ride-hailing passenger vehicles. It underpins Aurora’s driver-as-a-service products for trucking and ride-hailing. Aurora is working with industry leaders across the transportation ecosystem, including Continental, FedEx, Hirschbach, PACCAR, Ryder, Schneider, Toyota, Uber, Uber Freight, Volvo Trucks, Volvo Autonomous Solutions, and Werner. For Aurora’s latest news, visit aurora.tech and @aurora_inno on Twitter.
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 Machine Learning Engineer.
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.
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
Experience with Pytorch/Tensorflow/Jax or similar frameworks
Desirable Qualifications
Master’s or PhD in Computer Science.
Experience with computer vision.
Experience with synthetic training data.
Previous experience with generative ML models, e.g. diffusion models,
Previous experience with NeRFs/Gaussian Splats.
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 $144,000-$216,000 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.
#LI-KW1 #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 in several 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 page provides insight into career opportunities at Aurora, and you can find all the latest news on our Blog. 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. Aurora is committed to providing access to anyone who seeks information from our website. We invite anyone using assistive technologies, such as a screen reader or Braille reader, to email us at careersiteaccommodations@aurora.tech if they experience difficulty using our website. Please describe the accessibility problem and include a URL (if available).
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 careersiteaccommodations@aurora.tech.
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