Senior ML Engineer — Geospatial & Defense AI

Planet; Washington, Tacoma (District of Columbia, WA, MD); Hybrid; USD 161,000 - 201,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Health Savings Account

Paid Time Off

16 Weeks of Parental Leave

Wellness Program

Home Office Reimbursement

Phone and Internet Reimbursement

Tuition Reimbursement & LinkedIn Learn

Equity

Commuter Benefits

Job summary

Planet’s Analytics Team for Global Monitoring focuses on geospatial and time series analytics for customers requiring robust change detection, object detection, and generative AI capabilities. As a Senior Machine Learning Engineer, you will drive hands-on engineering and modeling for Defense and Intelligence applications.

You'll implement novel embeddings-based change detection and advanced computer vision techniques.

Qualifications

• 10+ years of relevant experience, 6+ years in machine learning.
• Ability to conduct rigorous evaluation of results and communicate 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, with PyTorch/TF.
• Ability to write clean, modular Python code and apply Git, testing, CI/CD.

Responsibilities

• Spearhead development of novel algorithms and machine learning models tailored for Defense and Intelligence applications.
• Optimize model performance to execute high-throughput inference at continental and global scales.
• Innovate computer vision, time series, and embeddings-based techniques on satellite data.
• Collaborate with product managers, data scientists, and engineers to define requirements and iterate on designs.
• Integrate ML pre-processing and inference pipelines with software platforms.
• Establish best-in-class testing, validation, and monitoring frameworks for reliability.

Skills

Machine Learning

Time Series

Computer Vision

Embeddings

Python

PyTorch

TensorFlow

Docker

Kubernetes

AWS/GCP

Geospatial Data

Data Wrangling

Communication

Security Clearance

Education

Graduate degree in STEM or analytics

Tools

GeoTIFF

GeoJSON

Git

CI/CD

Docker

Kubernetes

Job description

Planet’s Analytics Team for Global Monitoring focuses on geospatial and time series analytics for customers requiring robust change detection, object detection, and generative AI capabilities. As a Senior Machine Learning Engineer, you will drive hands-on engineering and modeling for Defense and Intelligence applications.

You'll implement novel embeddings-based change detection and advanced computer vision techniques.