10 months ago
Base Salary
$170k - $278k/yr
Responsibilities
- Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system.
- Use real-world video and sensor data for data mining, curation, labeling, training, and evaluation.
- Use large-scale synthetic data to power deep learning algorithms.
- Apply foundation models for knowledge distillation and label-efficient learning.
- Refine and optimize models for low-latency execution on embedded hardware.
- Develop evaluation benchmarks and metrics for autonomous system performance.
- Contribute as a generalist across other aspects of the software when needed.
Requirements
- M.S. or Ph.D. in computer science, electrical engineering, or a related discipline.
- Hands-on experience designing, training, and deploying deep learning models.
- Strong coding ability in Python and PyTorch, preferably with C++.
- Ability to apply state-of-the-art academic papers and literature to accelerate iteration.
- Ability to work effectively in a fast-paced, collaborative, highly technical environment.
- Comfort navigating and delivering within a complex codebase.
- Strong communication skills.
Benefits
- Relocation assistance may be provided for eligible roles.
- Eligible regular, full-time employees may enroll in group health insurance plans.
- Paid vacation time, sick leave, holiday pay, and a 401K savings plan are provided.
- The role is a regular, full-time position with benefits subject to applicable laws and eligibility criteria.
Categories
ML EngineeringRobotics
About Skydio
Skydio builds autonomous drones, docking systems, and fleet management software for enterprise, public safety, and defense customers. It sells hardware with AI-based autonomy plus SaaS for fleet operations, inspections, and Drone-as-First-Responder programs. Founded in 2014 and headquartered in San Mateo, California, the company designs and assembles its products in the U.S., with manufacturing in Hayward, and its systems are used across utilities, law enforcement, and the U.S. military.