Senior Autonomous ML Engineer - Equity & Impact

ProfilHQ; 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 to accelerate the autonomous technology ecosystem. We are building a high-velocity team to turn real-world operations into high-quality data for autonomous partners.

You will lead the development of advanced autonomy algorithms and build scalable ML systems to extract rich semantics from complex urban edge cases. The role focuses on dataset optimization, multi-disciplinary collaboration, and deploying ML models into production with a high standard of technical

Qualifications

• 4+ years of experience in ML/Robotics.
• 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

4+ years ML/Robotics

Python

Linux

Education

Bachelor's degree in CS/CE or related fields

Tools

PyTorch

Job description

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We are building a high-velocity team to turn real-world operations into high-quality data for autonomous partners.

You will lead the development of advanced autonomy algorithms and build scalable ML systems to extract rich semantics from complex urban edge cases. The role focuses on dataset optimization, multi-disciplinary collaboration, and deploying ML models into production with a high standard of technical