Machine Learning Engineer II - AV Labs

Uber; Sunnyvale (CA); Hybrid; USD 171,000 - 190,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Various benefits

Job summary

Uber is seeking a professional for the role involving the development of algorithms for autonomous driving systems. You will focus on challenges in urban environments, implementing state-of-the-art AI methods and optimizing datasets for machine learning. Candidates should have 2+ years of experience in the ML/Robotics industry, proficient skills in Python, and familiarity with frameworks like PyTorch. A Bachelor's degree is required, with advanced degrees preferred. The position is based in Sunnyvale, CA, offering a competitive salary range of $171,000 to $190,000 annually.

Qualifications

• 2+ years of working experience in the ML/Robotics industry.
• Proficient in Python and Linux environments.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).

Responsibilities

• Develop algorithms to tackle complex urban environments.
• Implement end-to-end AI-driven autonomy pipelines.
• Deliver high-quality datasets to accelerate ML technologies.
• Partner with cross-functional teams for successful deployment.

Skills

Machine Learning

Robotics

Python

Linux environments

AI/ML frameworks (e.g., PyTorch)

Education

Bachelor’s degree in Computer Science or related fields

Master’s or PhD degree in relevant fields

Tools

C++

High-performance computing

Job description

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 is 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.

What You Will Do

• Autonomous Driving Algorithm Development: Develop algorithms to tackle complex urban environments, focusing on robustness and safety.
• End-to-End AI Implementation: Implement end-to-end AI-driven state-of-the-art methods for autonomy pipelines, leveraging massive-scale real-world data.
• Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
• Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

Basic Qualifications

• 2+ years of working experience in the ML/Robotics industry.
• Bachelor’s degree (or higher) in Computer Science, Computer Engineering, or related fields.
• Proficient in Python and Linux environments.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).

Preferred Qualifications

• Experience in the Autonomous Driving domain.
• Proven track record of deploying ML models in safety-critical physical systems.
• Master’s or PhD degree in Computer Vision, Robotics, or Machine Learning.
• Familiarity with C++ and high-performance computing.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

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.