Senior ML Engineer - Geospatial & Defense AI

Planet; Virginia (MN); Hybrid; USD 161,000 - 201,000; Full time

Benefits offered by this job

Medical, Dental & Vision

HSA with company contribution

Paid Time Off

Parental Leave

Wellness Program

Home Office Reimbursement

Phone & Internet Reimbursement

Tuition Reimbursement

Equity

Commuter Benefits

Volunteer PTO

Job summary

Planet’s Analytics Team for Global Monitoring seeks a Senior Machine Learning Engineer to drive embeddings-based change detection and CV on satellite data. You’ll collaborate with data scientists and software engineers to scale models for Defense applications, in a hybrid Arlington, VA setup.

Ideal candidates have 10+ years in ML, strong Python, PyTorch/TensorFlow, and cloud deployment with Docker/Kubernetes, plus ability to obtain US clearance.

Qualifications

• Extensive ML experience in defense/intelligence domains.
• Ability to evaluate results and communicate failure modes clearly.
• Expertise in data science, time series, computer vision, and embeddings.
• Ability to implement, train, and optimize neural networks.
• Experience wrangling large datasets with geospatial libraries and PyTorch/TF.
• Proficient Python coding, Git, CI/CD and scalable deployment.
• Experience deploying models with Docker/Kubernetes.
• Willingness to obtain/maintain US Security Clearance.

Responsibilities

• Spearhead development of novel ML algorithms for Defense/Intelligence.
• Optimize model performance for high-throughput inference at continental/global scales.
• Innovate CV, time series, embeddings techniques on satellite data.
• Collaborate with product managers, data scientists, and engineers to define requirements.
• Integrate ML pipelines with software platforms.
• Establish testing, validation, and monitoring for reliability.

Skills

ML Expertise

Embeddings

Time Series

Computer Vision

Neural Networks

PyTorch

TensorFlow

Geospatial Data

Python

Git & CI/CD

Docker

Kubernetes

AWS/GCP

Security Clearance

Education

Graduate degree in STEM or analytics-focused field

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Geospatial libraries

Job description

Planet’s Analytics Team for Global Monitoring seeks a Senior Machine Learning Engineer to drive embeddings-based change detection and CV on satellite data. You’ll collaborate with data scientists and software engineers to scale models for Defense applications, in a hybrid Arlington, VA setup.

Ideal candidates have 10+ years in ML, strong Python, PyTorch/TensorFlow, and cloud deployment with Docker/Kubernetes, plus ability to obtain US clearance.