Python Programming, SQL, Machine learning techniques, Deep Learning, PyTorch, TensorFlow, Docker, Statistics, Linear Algebra, MLflow, Data pipelines, Probability
LeoLabs is the world’s leading commercial provider of low Earth orbit (LEO) mapping and Space Domain Awareness (SDA) services. LeoLabs was founded in 2016 as a venture-funded spinout of Silicon Valley research pioneer, SRI International, by scientists and space industry veterans committed to securing Low Earth Orbit (LEO). LeoLabs is built on 30+ years of R&D in radar systems and satellite tracking algorithms. The team is rapidly expanding its global radar network and data services platform to help satellite operators deploy their services safely and to empower governmental space agencies with detailed visibility into the LEO ecosystem. As commercial space ventures and newly-formed space agencies from every corner of the globe compete for their place in the second space race, LeoLabs is here to address a new generation of risks and opportunities to preserve LEO for future generations.
The Opportunity
You will join our Machine Learning team at the ground level to improve on and explore opportunities within our core data pipeline, which include Radar Signal Processing, Orbit Determination, Change-Point Detection, and High-Level Data Products. You lead projects to characterize, improve, and add functionality to our data processing systems by utilizing advanced statistical and machine learning methods.
Your responsibilities on the team may include:
Qualifications
Preferred qualifications
Within 1 month, you’ll:
ITAR REQUIREMENTS
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State.
LeoLabs™ is dedicated to protecting satellites in low Earth orbit (LEO). LEO is a shared, critical resource and responsible stewardship is important if we are to maintain its use. LeoLabs™ builds and operates radars to track satellites and the debris that threatens them.