Staff Machine Learning Engineer

Planet

full-time

Posted on: 9/19/2025

Origin: • 🇺🇸 United States • Virginia

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💰 $180,700 - $225,900 per year

Lead

AWSCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchRemote Sensing

About the role

Implement novel methods such as embeddings-based change detection and advanced computer vision techniques
Ensure best-in-class testing and validation, and deploy solutions to run at continental and global scales
Collaborate with both data scientists and software engineers to drive innovation in remote sensing and large-scale geospatial analytics
Model development & optimization: Develop new algorithms or methods, implement and test them rigorously, and optimize them for high performance on global scales
Advancing geospatial analytics: Innovate on computer vision, time series, and other ML techniques to uncover new insights from satellite data
Cross-functional collaboration: Partner with product managers, data scientists, and engineers to define requirements, validate model outputs, and refine algorithms in iterative cycles
Collaborating with adjacent ML and software engineering teams to ensure seamless integration of ML pre-processing and inference steps, defining best practices for efficient deployment and maintenance of geospatial models

10+ years of relevant experience of which 6+ years of experience is in machine learning
Ability to conduct a rigorous evaluation of results and internal communication of algorithm failure modes
Expertise with data science, time series methods, computer vision, and embeddings
Ability to implement, train, and optimize neural networks
Experience wrangling large datasets, ideally with geospatial libraries, combined with frameworks like PyTorch/TF for model development and training
Ability to experiment with model architectures, and derive data-driven insights to iteratively improve performance and accuracy
Experience writing clean, modular Python code and applying software development best practices (Git, testing, CI/CD)
Experience deploying models (via Docker, Kubernetes, or similar) with an understanding of best practices for monitoring and maintaining them at scale
AWS or GCP experience
Excellent communication skills, capable of explaining technical topics to diverse audiences
Graduate degree in a STEM or analytics-focused field or equivalent work experience
Located in the Washington, DC metro or ability to work and commute to Arlington, VA 3x/week
Ability to obtain and maintain US Security Clearance