2 months ago
South San Francisco, CA, USASenior / Staff+
H1B sponsor
Base Salary
$200k - $280k/yr
Responsibilities
- Design and implement cloud- and on-premises computer vision and machine learning models that support on-device perception systems.
- Train, fine-tune, optimize, and deploy models for semantic segmentation, feedforward 4D geometry, and learned preference modeling.
- Use aerial survey imagery, production delivery data, and synthetic data to generate high-fidelity priors and predict deliverability.
- Build tools and infrastructure for model evaluation, validation, training, data annotation, and reliable field operation.
- Work across data pipelines, training infrastructure, and distributed training systems to ship production features or models approximately every six weeks.
- At the Senior level, lead architectural decisions and experimentation; at the Staff level, own roadmaps for offboard models and launch new efforts.
Requirements
- 5+ years of experience for Senior or 8+ years for Staff building and deploying deep learning-based perception systems.
- Experience with 3D geometry, semantic understanding, or mapping from remote sensing data.
- Strong knowledge of classical computer vision, including camera calibration, epipolar geometry, and structure-from-motion.
- Hands-on experience with CNN, transformer, and foundation-style model architectures in production.
- Familiarity with training, data annotation, and evaluation pipelines, along with comfort debugging data, infrastructure, and distributed training systems.
- Experience deploying models in real-world, high-stakes robotics or autonomy applications is preferred for Senior and required for Staff.
- Staff candidates should have experience initiating new efforts and creating staged roadmaps for challenging machine learning tasks.
Benefits
- Medical, dental, and vision insurance.
- Paid time off.
- Potential equity compensation, overtime pay, and discretionary annual or performance bonuses are included in the broader total compensation package.
Categories
ML EngineeringRobotics
About Zipline
Zipline designs, builds, and operates autonomous drone delivery systems for healthcare, retail, and public-sector customers. The privately held company runs end-to-end logistics—aircraft, software, and fulfillment—to deliver blood, vaccines, medicines, and consumer goods. Founded in 2014 and headquartered in South San Francisco, Zipline operates across multiple continents; notable work includes Rwanda’s national blood deliveries and U.S. home delivery pilots with Walmart.