Autonomy Engineer - Deep Learning
Designs, trains, and deploys deep learning models for drone autonomy, focusing on computer vision tasks like optical flow, depth estimation, detection, and path planning using real-world and synthetic data. Requires MS/PhD, hands-on DL experience, and PyTorch/Python/C++ proficiency.
About the job
How you'll make an impact
- 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
What makes you a good fit
- 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
Compensation
Annual base salary range: $170,000 - $277,500. Includes equity (stock options), comprehensive benefits (health insurance, paid vacation, sick leave, holidays, 401K). Relocation assistance may be provided.
Skills
PyTorch, Python, C++, Deep Learning, Computer Vision, Optical Flow, Stereo Depth Estimation, Object Detection, Segmentation, Tracking, Visual Place Recognition, Localization, Mapping, Few-Shot Learning, Occupancy Networks
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