Technical Lead Manager, Autonomy Datasets
Mountain View, California
Full Time Senior-level / Expert USD 189K - 303K
Aurora Innovation
Aurora is building self-driving technology that will revolutionize the future of transportation.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. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
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 Technical Lead Manager, Autonomy Datasets.
In this role, you will
- Drive the exploration and implementation of state-of-the-art techniques for data selection and directly impacting the performance and generalization of our largest and most complex ML models all the way through to model training
- Establish and enforce rigorous, automated systems for data validation, anomaly detection, and quality assurance across massive, multi-modal autonomy datasets
- Hire, mentor and grow a focused group of senior engineers to deliver high impact datasets and dataset infrastructure across a range of models
Required Qualifications
- Strong ML/AI fundamentals especially around evaluation and knowledge distillation methods
- Proven ability to apply research-level knowledge to address data quality, efficiency, and scale challenges in ML training.
- Experience leading and growing highly technical teams, setting strategic direction, and fostering an environment of innovation and continuous learning.
Desirable Qualifications
- Familiarity with multi-modal, multi-dimensional, time-series robotics datasets and infrastructure
- Comfortable building backend infrastructure (e.g. data pipelines, scheme design/data models, distributed storage systems, API design) tailored for datasets and training pipelines
The base salary range for this position is $189,000-$303,000 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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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. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
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 careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Tags: APIs Data pipelines Data quality Machine Learning ML models Model training Pipelines Privacy Research Robotics
Perks/benefits: Career development Equity / stock options Salary bonus
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