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Remote Sensing Data Scientist

Los Angeles, Mountain View, CA or Remote

About the role

Muon Space is building an expert team that is designing and generating value-added products from Earth observations from Muon’s constellation of low Earth orbit satellites and other geospatial datasets. We are seeking a Remote Sensing Data Scientist who will sit on the Muon Science Team and will help to develop the algorithms and final stages of processing for the data coming from our spacecraft’s instruments. This role will interact with both instrument engineering and ground data systems teams to ensure a deep understanding of the measurements being made as well as an ability to work with the infrastructure data flows through, aiming for generating the highest possible science data quality with the lowest attainable latencies in order to meet Muon’s goals in monitoring and addressing climate change. This role will involve working with data from multiple instrument types, and therefore requires the flexibility to work on a variety of topics.

Location: This position can be located in Los Angeles, Mountain View, CA or Remote.

Responsibilities

  • Support the algorithmic and software development of data processing pipelines
  • Build beyond state-of-the-art data products from remote sensing observations
  • Work with scientists and data team to continually refine data products
  • Willingness to learn new topics as needed (measurements techniques, retrieval concepts, data platforms/tools, etc.)

Qualifications

  • Experience developing algorithms using data from remote sensing/RF instruments 
  • Background in common machine learning techniques/platforms (TF, PyTorch, etc.)
  • Exceptional skills in python-based development and analysis
  • Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support, all working at different locations)

Preferred Qualifications

  • Experience developing retrieval algorithms from satellite Earth observations
  • Experience building geospatial data products
  • Familiarity with common geospatial data formats (HDF5, Zarr, COG)
  • Understanding of the principles of scientific instruments
  • Familiarity with cloud native systems (AWS, preferably)
Equal Opportunity

At Muon, our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunities regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. If you feel like you’re a good fit for …

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