This job offer is no longer available
About
TOP 3 SKILLS:
Bachelor's degree in a Science or Engineering major with 2+ years of experience Strong proficiency in Python and advanced SQL for data manipulation, mining, and analysis Solid understanding of Machine Learning principles related to object classification with excellent communication skills for cross-functional collaboration
Job description:
The Perception Attributes team is looking for a Data Scientist to build and optimize the data mining and validation frameworks that power our autonomous vehicle's understanding of the world. The company is 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. This role is concerned with the performance, reliability, and quality of our data mining operations and the underlying health of our perception datasets. If you love uncovering patterns, ensuring data integrity, and building resilient data pipelines to train cutting-edge AI, you will excel in this role.
Responsibilities:
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
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
Bonus Qualifications: Experience with any of the following:
Perception systems for robotics or autonomous vehicles Computer Vision fundamentals (e.g., working with bounding boxes or semantic segmentation) Cloud infrastructure and tooling, such as AWS, Kubernetes, or Terraform Large-scale data orchestration and automated QA frameworks Statistical analysis for validating model performance against ground truth data
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.