Senior Machine Learning Engineer, Geospatial AI (Arlington)

Planet turns daily satellite imagery into intelligence for defence and government customers. As a Senior Machine Learning Engineer you build new algorithms and models for these uses and make them run at continental and global scale.

Key responsibilities

• Develop new algorithms and machine learning models for defence and intelligence
• Optimise models for high-throughput inference at global scale
• Define requirements with product managers, data scientists and engineers
• Integrate ML pipelines with other software platforms
• Build testing, validation and monitoring for models

Requirements

• 10+ years of relevant experience, 6+ in machine learning
• Implementing and training neural networks in PyTorch or TensorFlow
• Large datasets, ideally with geospatial libraries
• Clean Python, Git, testing and CI/CD; deploying with Docker or Kubernetes
• AWS or GCP, a graduate STEM degree or equivalent, and able to get a US security clearance

Location and schedule

• Hybrid: you work from the Arlington, Virginia office 3 days a week (Washington DC area)

Salary and benefits

US base salary $160,600 to $200,800 a year, plus possible bonus and equity. Benefits include medical, dental and vision cover, 16 weeks of paid parental leave, and tuition support.

How to apply

Apply on the company's own site.