Senior ML Engineer – Geospatial AI for Satellite Data

Planet Labs PBC; Arlington (VA); Hybrid; USD 161,000 - 201,000; Full time

Benefits offered by this job

Equity

Health insurance

Parental leave

Commuter benefits

Home office reimbursement

Learning stipend

Job summary

Planet Labs PBC is seeking a Senior Machine Learning Engineer to drive end-to-end ML development for geospatial data in defense and intelligence contexts. You will implement embeddings-based change detection and advanced computer vision techniques, collaborating with data scientists and software engineers to scale models across continents.

The role is full-time and hybrid, requiring presence in the Arlington, VA area 3 days per week, with a focus on testing, deployment, and continuous

Qualifications

• 10+ years of relevant experience, including 6+ years in machine learning.
• Ability to evaluate results and explain algorithm failure modes.
• Expertise in data science, time series, computer vision, and embeddings.
• Ability to train and optimize neural networks.
• Experience with large geospatial datasets and frameworks like PyTorch/TF.
• Experience writing clean, modular Python and applying software development best practices.
• Experience deploying models via Docker/Kubernetes with monitoring at scale.
• AWS or GCP experience.
• Excellent communication skills for diverse audiences.
• Graduate degree in STEM or equivalent experience.

Responsibilities

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

Skills

10+ years experience

ML expertise

time series methods

computer vision

embeddings

Python

model development

communication

cloud platforms

Education

Graduate degree in STEM

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Git

CI/CD

AWS or GCP

Job description

Planet Labs PBC is seeking a Senior Machine Learning Engineer to drive end-to-end ML development for geospatial data in defense and intelligence contexts. You will implement embeddings-based change detection and advanced computer vision techniques, collaborating with data scientists and software engineers to scale models across continents.

The role is full-time and hybrid, requiring presence in the Arlington, VA area 3 days per week, with a focus on testing, deployment, and continuous