Location:
Onsite in Foster City, CA | at least 3 days in office
Introduction
The Perception Attributes team is seeking a skilled professional to build and optimize the data mining and validation frameworks that power our autonomous vehicle's understanding of the world. We are committed to building a future for riders, not drivers. At the heart of this vision is our ability to accurately detect and classify cars, bikes, pedestrians, and traffic signs in real-time. This role ensures that the data driving these models is of the highest quality and reflects the complex environments our robotaxis navigate.
Required Skills & Qualifications
Onsite in Foster City, CA | at least 3 days in office
Introduction
The Perception Attributes team is seeking a skilled professional to build and optimize the data mining and validation frameworks that power our autonomous vehicle's understanding of the world. We are committed to building a future for riders, not drivers. At the heart of this vision is our ability to accurately detect and classify cars, bikes, pedestrians, and traffic signs in real-time. This role ensures that the data driving these models is of the highest quality and reflects the complex environments our robotaxis navigate.
Required Skills & Qualifications
- Bachelor's degree in a Science or Engineering major with 2 years of experience
- Strong proficiency in Python for data manipulation, scripting, and analysis
- Advanced SQL skills for complex data extraction and mining from large-scale databases
- Solid understanding of Machine Learning principles, specifically as they relate to object classification (cars, bikes, signs)
- Excellent communication skills to explain technical data trends to cross-functional stakeholders
- Prior work experience at client or in client's Industry
- Experience with perception systems for robotics or autonomous vehicles
- Knowledge of computer vision fundamentals (e.g., working with bounding boxes or semantic segmentation)
- Familiarity with cloud infrastructure and tooling, such as AWS, Kubernetes, or Terraform
- Experience with large-scale data orchestration and automated QA frameworks
- Statistical analysis for validating model performance against ground truth data
- Own a critical data mining link between raw sensor logs and our perception training pipelines
- Prioritize data quality and safety first by establishing rigorous Quality Assurance (QA) processes for classified objects like pedestrians and traffic signs
- Perform root cause analysis on data quality drops or edge-case failures and communicate learnings to the broader team
- Define and own Data Quality Objectives that accurately reflect the health and accuracy of our perception datasets
- Collaborate with engineers across the organization who rely on mined data to improve vehicle autonomy
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