Principal Engineer – AI/ML Incubation Projects Full-time

About the Role

A Principal Engineer at Uber has a profound impact across a wide spectrum of businesses and technological domains, they influence a multitude of projects across various geo locations. The role will be pivotal in shaping scalable systems with efficient coding practices.

You will be one of the AI/ML leaders for the Platform Engineering team and you’ll lead the design, development and implementation of the latest machine learning techniques for computer vision and perception use cases. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. You’ll be able to inform and advocate business decisions within Platform Engineering and partner engineering teams which enables Uber’s mission of helping people go anywhere and get anything and earn their way.

What You’ll Do

– Technical Leadership: You’ll advise on the build and design of AI systems that extract maximum value out of our global network of operations which will include perception modeling and semantic understanding
– Project Execution: You’ll help shape and evaluate the latest machine learning techniques for Computer Vision and Perception.
– Innovation and Strategy: You’ll be a key contributor for Uber’s strategy across multiple technology stacks at Uber which will include Hardware, Data, AI/ML, Computer Vision, etc
– Stakeholder Collaboration: Collaborate and influence the product vision and roadmap in collaboration with the product and business teams
– Mentorship: Provide thought leadership and technical leadership to more junior engineers
– Be an owner and strive for excellence in your role

What You’ll Need

– Bachelor’s degree or equivalent experience in AI, ML, Computer Vision, Robotics, and/or Autonomous Systems
– 5+ years of experience in:
– Software: Computer vision, machine learning, optimization and algorithms design and implementation
– Hardware: Instrumentation of device drivers and firmware
– Data: Labeling, collection, storage and retrieval of data
– Proficient in Python and Linux
– Familiar with OpenCV, TensorFlow/PyTorch
– Expertise with Perception technologies

Bonus Points If

– Masters degree or Phd in AI, ML, Computer Vision, Robotics, and/or Autonomous Systems
– Expertise with Prediction, Planning in addition to Perception for Autonomous systems
– Hardware: Expertise designing, building, using automotive sensors and related device drivers and firmware
– Comprehensive knowledge and/or experience designing/building ADAS and Autonomous systems

About the Team

Uber’s engineering team executes on the vision and builds the products for the future of urban mobility: deeply understanding our customers to solve their transportation needs with innovative technology. Engineering leaders at Uber move lightning fast to build, test, learn, and iterate, working in small teams that control their own destiny and own their own critical metrics. Leadership helps the vision become a reality and clears obstacles out of the way. Some of the brightest data scientists, designers, engineers, and marketers in the industry are here to build amazing products on top of leading-edge platforms for data, machine learning, and experimentation.

The products we build are used by millions of riders, drivers, eaters, restaurants, and others to earn money for their families, and get around faster, easier, cheaper, and with less environmental impact.

This team works on sensor data collection, processing, labeling, indexing and search technologies and goals include AI/ML based perception, semantic understanding, etc.

For San Francisco, CA-based roles: The base salary range for this role is USD$324,000 per year – USD$360,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$324,000 per year – USD$360,000 per year.

For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.