Full-Time
Senior Machine Learning Software Engineer
ML/CV
Confirmed live in the last 24 hours
Develops autonomous vertical take-off cargo drones
Senior, Expert
Austin, TX, USA
- BSc. or MSc. in Computer Science / Software Engineering or related field
- at least 7 years of experience as a Software Engineer / ML Engineer
- 7+ years of experience writing production code using modern C++ on Linux
- 5+ years of experience in Python
- at least 5 years of experience creating production solutions in Machine Learning / AI in particular Computer Vision
- at least 5 years of experience with code reviews, unit tests and e2e tests
- at least 7 years of experience in a multi-threaded codebase
- Ability to create a well-organized software architecture and build efficient algorithms
- take ownership of computer vision related projects at Skyways
- collect training data, set up training pipelines, produce models, rinse and repeat
- invent, design new systems and go through design review process
- reason about your decisions based on data (experiments, math/science)
- maintain a clean codebase by doing code reviews, writing tests, using CI
- promote software engineering best practices, and develop processes for the long term
- ship software to production (i.e. our aircraft but also network-based applications), systems integration, and be an SRE
- work with flight ops to test your software and iterate/improve at an insane speed
Skyways is transforming the cargo transportation sector with its cutting-edge autonomous aerial vehicles featuring vertical take-off and landing capabilities. Specialized in crafting both all-electric and hybrid-electric models, these UAVs prioritize operational simplicity and versatility by incorporating unique features like folding wings and in-flight recharging. This commitment to applying advanced technology in practical, yet novel ways makes it an exciting workplace for forward-thinking professionals eager to lead in the emergent field of autonomous air transportation.
Company Stage
Series A
Total Funding
$17.6M
Headquarters
Austin, Texas
Founded
2017