Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed

Requirements

M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills

Benefits

Paid vacation time
Sick leave
Holiday pay
401K savings plan
Group health insurance plans

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

computer visiondeep learningdata miningmodel optimizationPythonPyTorchC++knowledge distillationlabel efficient learningevaluation benchmarks

Soft Skills

collaborationcommunicationproblem-solvingadaptabilityteamworkfast-paced environmenttechnical proficiencycodebase navigationhigh-quality code deliveryiteration

Certifications

M.S. in computer sciencePh.D. in computer scienceM.S. in electrical engineeringPh.D. in electrical engineering