# **About the Role** You will be one of the AI/ML engineers for the Platform Engineering team and you'll be 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 which include networking, 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 - Participate in developing the vision and technology roadmap for ML and Computer Vision at Uber - Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML and Computer Vision technology that can stand the test of scale and availability, while reducing operational overhead - Systems architecture design, including management of upstream and downstream dependencies - Drive datasets to accelerate ML and Computer Vision technologies, sensor data collection, processing, labeling, indexing and building comprehensive driving scenarios. - Collaborate with platform, product and security engineering teams, and enable successful use of the latest ML techniques. - Own the craftsmanship, reliability, and scalability of your solutions - Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices # **Basic Qualifications** - Min 10 years of total experience and 5 years of working experience in the ML/Robotics industry - Bachelor degree in computer science, computer engineering or related fields - Proficient in Python and Linux - Proficient in perception technologies - Familiar with OpenCV, TensorFlow/PyTorch - Experience in leading large initiatives. # Preferred Qualifications - Master or PhD degree in computer vision or robotics. - Familiar with C++ - Familiar with the Robot Operating System (ROS) 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. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 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.