Applied ML Engineer

Quartermaster

Job Overview

Location

California

Job Type

Full-time

Full Job Description

📋 Description

• We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks that power our edge-intelligent maritime systems.
• 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.
• Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation; support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion.
• Work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions; implement real-time pipelines for processing sensor data on-device and in cloud environments.
• Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance; stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap.
• Participate in code reviews, team knowledge sharing, and internal technical documentation; must be eligible to obtain/maintain a security clearance.
• Opportunity to work on innovative projects with a global impact; flexible working hours with occasional deadlines requiring high availability.

🎯 Requirements

• Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field (Bachelors considered case by case)
• 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
• Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization
• Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.)
• Excellent debugging, experimentation, and problem-solving skills

🏖️ Benefits

• Flexible working hours with occasional deadlines requiring high availability
• Opportunity to work on innovative projects with a global impact
• Collaborative cross-functional team environment spanning hardware, software, and product
• Eligibility to obtain/maintain a security clearance (indicating high-trust, impactful work)
• Exposure to cutting-edge ML applications in maritime, aerospace, or remote sensing domains
• Continuous learning through staying current with latest research and tools in machine learning

Skills & Technologies

Python

TensorFlow

PyTorch

Data Science

Remote

Degree Required

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Quartermaster

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About Quartermaster

Quartermaster.us is the official digital front door of the U.S. Army Quartermaster Corps, the nation’s 247-year-old logistics lifeline. Headquartered at Fort Lee, Virginia, the site trains 22,000 Soldiers and civilians in supply, fuel, food, water, parachute rigging, laundry, mortuary affairs, and aerial delivery. Visitors explore interactive Quartermaster Museum exhibits, enroll in professional courses, download doctrine, and discover how “The Providers” equip, sustain, and honor every warfighter from basic training to battlefield memorial services worldwide.

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