Deep Learning Innovation Lead
3 days ago
Skydio is the leading US drone company and a world leader in autonomous flight technology. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users.
About the Position:
We are seeking an experienced Deep Learning Engineer to join our team. As a key member of our autonomy system development team, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation, and tracking. You will work closely with our team to leverage massive amounts of real-world video and sensor data for data mining, curation, labeling, training, and evaluation.
Your Responsibilities:
Design, implement, and deploy computer vision and multimodal deep learning models for Skydio's autonomy system. Leverage large-scale and diverse synthetic data to power deep learning algorithms. 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:
To succeed in this role, you should have a strong background in computer science, electrical engineering, or a related discipline, with demonstrated hands-on experience designing, training, and deploying deep learning models. You should be able to deliver high-quality, well-architected code (Python/PyTorch and C++) and leverage state-of-the-art academic papers and literature for fast iteration. Additionally, you should be comfortable navigating and delivering within a complex codebase, possess strong communication skills, and thrive in a fast-paced, collaborative, and highly technical team environment.
Compensation:
The annual base salary range for this position is $170,000 - $277,500. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of various incentives and stipends.
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