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Active2mo ago

Senior Machine Learning Engineer

Planet·📍 Arlington, Virginia, United States

Employment

Full-Time

Work mode

On-site

Experience

10+ years

Salary

$160.6K – $200.8K/yr

Role overview

Job description

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first

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About this listing

  • Source: Planet's official careers site (via Greenhouse) · last confirmed on the source 29 Oct 2026
  • Posted 28 Aug 2026

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Role market pulse

How Machine Learning Engineer demand looks in United States

57/100 · steady

Live jobs

171

Posted 30d

60

30d movement

+9.1%

Remote share

36.8%

Salary listed

83%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

What You Bring: 10+ years of relevant experience of which 6+ years of experience is in machine learning; Graduate degree in a STEM or analytics-focused field or equivalent work experience; US National Salary Range $160,600 — $200,800 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

Department · Global Monitoring Analytics

Hiring company

Planet

Discover how Planet's daily satellite imagery and insights empower global decisions and actions with a multidimensional view of our changing planet.

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