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Applied Scientist - Remote Sensing & Analytics

Orbital Sidekick
San Francisco, California
Full Time
Posted July 16, 2025
Not Specified
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Job Description

An Applied Scientist and Machine Learning Engineer responsible for developing, architecting, and scaling ML solutions using hyperspectral satellite data to provide actionable insights across various sectors, operating in a fast-paced, collaborative environment.

Key Responsibilities

  • Develop and implement end-to-end machine learning solutions for satellite data analytics.
  • Architect scalable tools and production pipelines to enhance ML capabilities.
  • Identify inefficiencies and propose technical solutions to improve system performance.

Requirements

  • Must have experience operating as both an applied scientist and systems builder, taking end-to-end ownership of machine learning solutions.
  • Must be capable of spotting inefficiencies, architecting solutions, and building tools needed to scale capabilities.
  • Must be comfortable diving into machine learning theory, developing internal tools from scratch, and architecting production pipelines.
  • Must have the ability to identify gaps, propose solutions, and drive them to completion in a fast-moving startup environment.
  • Must be a U.S. citizen or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State, due to ITAR regulations.
  • Must be willing to work in a hybrid model with a strong emphasis on collaboration in the office in San Francisco, CA.

Benefits & Perks

Compensation/salary range (not specified)
Hybrid work schedule with a strong emphasis on collaboration in the office
Work environment perks include a collaborative office setting
Equal opportunity employment regardless of race, religion, disability, gender, sexual orientation, or other protected classifications

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