Senior ML Engineer — Geospatial Satellite AI

Talentify; Arlington (VA); Hybrid; USD 161,000 - 201,000; Full time

Benefits offered by this job

Medical/Dental/Vision plans

HSA with company contribution

Parental leave (16 weeks)

Home office reimbursement

Equity

Commuter benefits

Job summary

Planet is seeking a Senior Machine Learning Engineer to drive hands-on engineering and modeling for Defense and Intelligence applications. You will implement embeddings-based change detection and advanced computer vision techniques on satellite data, collaborating with data scientists and software engineers to scale solutions.

The role is full-time and hybrid, requiring periodic work from the Arlington, VA office three days a week.

Qualifications

• 10+ years of experience in machine learning.
• Expertise in time series, computer vision, and embeddings.
• Proficiency in writing clean, modular Python code and deploying models.

Responsibilities

• Develop novel ML algorithms and models for Defense/Intelligence applications.
• Optimize inference performance for large-scale satellite data.
• Collaborate with data scientists and engineers to deploy end-to-end pipelines.

Skills

Machine learning

Time series

Computer vision

Embeddings

Python

Communication

Model deployment

AWS/GCP

Experimentation

Education

Graduate degree in STEM or analytics-focused field

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

Planet is seeking a Senior Machine Learning Engineer to drive hands-on engineering and modeling for Defense and Intelligence applications. You will implement embeddings-based change detection and advanced computer vision techniques on satellite data, collaborating with data scientists and software engineers to scale solutions.

The role is full-time and hybrid, requiring periodic work from the Arlington, VA office three days a week.