about 11 hours ago
Santa Clara, CA, USAStaff+
Base Salary
$215k - $364k/yr
Responsibilities
- Develop and improve 2D traffic sign detection models for autonomous driving perception systems.
- Analyze TSR-related scenarios and failure cases, including missed detections and false positives.
- Prepare, clean, curate, and analyze training and evaluation datasets for TSR model iteration.
- Design and execute model training experiments, including data sampling and augmentation.
- Build and maintain evaluation pipelines for TSR models, including offline metrics and error analysis.
- Collaborate with data teams to define mining strategies for long-tail TSR scenarios.
- Optimize models for production deployment, including ONNX and TensorRT.
- Work with deployment teams to validate model performance on onboard platforms.
- Track model performance across versions and support continuous improvement.
- Debug issues across the full stack, including data quality and model behavior.
Requirements
- Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or related field.
- 3-5 years of hands-on experience with computer vision models, especially object detection.
- Experience with detection architectures such as YOLO, Faster R-CNN, or similar models.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of object detection training workflows and evaluation metrics.
- Strong data analysis and problem-solving skills.
- Ability to work cross-functionally with model, data, infrastructure, and deployment teams.
Benefits
- A fun, supportive and engaging environment.
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting-edge technologies with top talents in the field.
- Opportunity to make a significant impact on the transportation revolution.
- Competitive compensation package.
- Snacks, lunches, dinners, and fun activities.