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Autonomy Engineer – Deep Learning
| Company | Skydio |
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| Location | San Mateo, CA, USA |
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| Salary | $170000 – $277500 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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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++)
- Ability to thrive in a fast paced, collaborative and highly technical team environment
- Strong communication skills
Responsibilities
- 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
Preferred Qualifications
No preferred qualifications provided.
