Senior ML Engineer: Autonomous Driving Data, Equity & Bonus

Uber; Sunnyvale (CA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is launching AV Labs in Sunnyvale, CA, to accelerate autonomous technology by building a high-velocity team focused on leveraging real-world driving data for autonomous partners.

As a Senior ML Engineer, you will develop autonomy algorithms and models, architect scalable ML systems, and lead data-driven initiatives to enhance our L4 data lake, while collaborating across platforms and security engineering to deploy ML into production.

Qualifications

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

Responsibilities

• Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
• Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies.
• Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability.
• 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.

Skills

Python

Linux

ML & Robotics

C++

Education

Bachelor's degree in Computer Science or Computer Engineering

Master's or PhD in Computer Vision, Robotics, or Machine Learning

Tools

PyTorch

C++

Linux

Job description

Uber is launching AV Labs in Sunnyvale, CA, to accelerate autonomous technology by building a high-velocity team focused on leveraging real-world driving data for autonomous partners.

As a Senior ML Engineer, you will develop autonomy algorithms and models, architect scalable ML systems, and lead data-driven initiatives to enhance our L4 data lake, while collaborating across platforms and security engineering to deploy ML into production.