Senior Staff Machine Learning Engineer - AV Labs

About The Role
Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves.
You will be an AI/ML engineer in AV Labs 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 with other engineers across 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 You 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

• Minimum 8 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)

For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.