Machine Learning Scientist Intern

Company Details

The Mapping Platform for Space. No Surprises

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: 

  • Exploring our data pipelines for ML opportunities
  • Training real-time and batch offline models
  • Deploying models into production
  • Working with raw sensor data from our radars
  • Building monitoring solutions both as a core data product and for ML models in production
  • Influence business decisions through the discovering and validating opportunities for the company via analysis
  • By joining the ML team at the ground floor, you will be a primary contributor to building out the ML foundation for the company

Qualifications 

  • Recently graduated or very near graduation, with the ability to transition to full-time at the end of the internship
  • B.S. in Computer Science, Mathematics, Economics, Physics, Engineering or other quantitative related field
  • 1+ years experience machine learning
  • 1+ years of experience putting ML models into production and scaling them
  • Significant, demonstrable experience using Python
  • Demonstrated expertise in linear algebra, statistics, and probability
  • Strong technical communication ability

Preferred qualifications 

  • PhD with specialization in machine learning / deep learning
  • Hands-on experience with at least one mainstream ML deployment service, such as AWS Sagemaker, MLFlow, Docker, or similar
  • A passion for working in the space industry
  • Competent in SQL and API usage for data querying
  • Experience designing and implementing complex data processing pipelines
  • Experience with deep learning frameworks such as PyTorch or TensorFlow

Within 1 month, you’ll: 

  • Complete our onboarding program designed to get you up to speed on our business, vision and team
  • Take ownership of a significant ML project
  • Be familiar with our growing Data Science team and how the team fits into LeoLabs broader organization

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.

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Tagged as: internship, Docker, pytorch, tensorflow, orbit determination, aws sagemaker, mlflow, radar signal processing, change-point detection

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