Machine Learning Engineer

Overview

Zachary Piper Solutions is seeking a highly skilled and experienced, security cleared, AI / Machine Learning Engineer to support a Federal Engineering team focused on GenAI solutions for the public sector. In this role, you'll help architect and deploy cutting-edge, AI-driven mission systems for government clients . You'll work with high-throughput platforms capable of processing billions of data points, contributing to secure, distributed infrastructures and advanced machine learning pipelines that power real-world impact.

This role is over 50% Hybrid , with offices in San Francisco, Washington D.C., and New York City .

Responsibilities

• Take cutting-edge internally and community developed models, and utilize them to solve problems for customers and taskers
• Maintain and improve production models through deep reinforcement learning, architectural upgrades, and hyperparameter tuning
• Collaborate with various teams to identify and prototype ML-driven product enhancements
• Serve as a cross-functional representative to advocate for machine learning techniques across organizations
• Create scalable Machine learning infrastructures to optimize and automate ML services
• Be comfortable using new technologies in a fast-paced collaborative environment

Qualifications

Compensation and Benefits

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