Senior Autonomy Engineer - Deep Learning
Develops real-time deep learning models for drone autonomy, focusing on detection, tracking, segmentation, and optical flow using visual data. Requires hands-on experience with deep neural networks, computer vision, Python/C++, and model optimization for embedded hardware.
About the job
How you'll make an impact
- Design and implement deep learning solutions that solve detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones
- Leverage state-of-the-art methods in unsupervised learning, few shot learning, and foundational models for data efficient ML
- Curate and enhance synthetic data that powers our deep learning algorithms along with massive amounts of structured video data
- Refine and optimize models for low-latency on embedded hardware
- Characterize and quantify the performance of the vision systems
- Research and prototype new approaches
- Be a generalist helping out on all aspects of the software when needed
What makes you a good fit
- Demonstrated hands-on experience creating and deploying deep learning models
- Experience curating synthetic and real-world image datasets
- Solid software engineering foundation and commitment to writing clean, well-architected code (Python or C++, preferably both)
- Real experience prototyping, training, optimizing, and deploying deep neural networks
- Ability to read and contextualize scientific papers and literature in computer vision
- Ability to thrive in a fast paced, collaborative, small team environment
Compensation
Annual base salary range: $170,000 - $277,500. Includes equity (stock options), comprehensive benefits, paid vacation, sick leave, holidays, 401K.
Skills
Deep Learning, Computer Vision, Python, C++, PyTorch, TensorFlow, Object Detection, Tracking, Segmentation, Optical Flow, Unsupervised Learning, Few-Shot Learning, Foundational Models, Embedded Systems, Neural Networks
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