# Applied Machine Learning Engineer at Quartermaster

- Company: Quartermaster
- What the company does: The world's largest maritime awareness network on the planet. Backed by Space Capital.
- Company website: https://quartermaster.us
- Type: Startups (AI role)
- Level: Mid level
- Location: Arlington, VA
- Work setup: On-site
- Pay: $200K to $235K base salary per year (USD)
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://jobs.ashbyhq.com/quartermaster/f21444da-48fd-492c-aa11-21eacf379b05
- Page: https://www.1752.vc/careers/jobs/quartermaster-applied-machine-learning-engineer/

## About the role

Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference. Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints.

## What they're looking for

- Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis
- 4+ years of experience building and deploying machine learning models in production environments
- Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
- Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.)
- Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization
- Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring

Tags: Engineering