**About the Role** You will be an AI/ML engineer in the Platform Engineering team and involved in the 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 collaborate across Platform Engineering teams which include areas such as networking, storage, compute, big data and cloud engineering, as well as with partner engineering teams which enables Uber’s mission of helping people go anywhere and get anything and earn their way. **What the Candidate Will Do** Design and deliver software and tools as part of our state-of-the-art Machine Learning platform - Systems architecture design, including management of upstream and downstream dependencies - Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead - Deliver datasets to accelerate ML technologies, sensor data collection, processing, labeling, indexing, etc - Participate in periodic on-call rotations and be available for critical issues - Collaborate with platform, product and security engineering teams, and enable successful use of the latest machine learning techniques. ## **Minimum qualifications:** - PhD or equivalent in Computer Science, Engineering, Mathematics or related field **OR** 3-years full-time Software Engineering work experience, **WHICH INCLUDES** 2-years total technical software engineering experience in one or more of the following areas: - Programming language (e.g. Java, Go, C++, Python) - _Note the 2-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).  The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated._ ## **Technical skills:** Required: - 3 years of working experience in the ML/Robotics industry - Proficient in Python and Linux - Familiar with OpenCV, TensorFlow/PyTorch - Deep understanding of computer vision and/or perception technologies Preferred: - 5 years of working experience in the ML/Robotics industry with deep domain expertise in perception. - Master or PhD degree in computer vision or robotics. - Familiar with C++ - Familiar with the Robot Operating System (ROS) At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world! We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let’s move the world forward, together! 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). For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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.