Full-Time

Senior Machine Learning Software Engineer

ML/CV

Confirmed live in the last 24 hours

Skyways

Skyways

11-50 employees

Develops autonomous vertical take-off cargo drones

Industrial & Manufacturing
AI & Machine Learning

Senior, Expert

Austin, TX, USA

Required Skills
Python
Software Testing
Data Structures & Algorithms
Computer Vision
Linux/Unix
Requirements
  • 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
Responsibilities
  • 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

Growth & Insights
Headcount

6 month growth

20%

1 year growth

51%

2 year growth

173%