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Machine Learning Engineer

Machine Learning Engineer

Zachary Piper SolutionsWashington, DC, United States
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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

  • Active U.S. Security clearance (Secret, Top Secret, TS / SCI, can hold FS POLY)
  • Extensive background with computer vision , deep learning , deep reinforcement learning , and natural language processing in a production environment
  • Strong background with algorithms, data structures and object oriented programming
  • High level programming in Python , along with experience in TensorFlow or PyTorch
  • Experience deploying machine learning models in cloud environments (preferably AWS or GCP)
  • Experience with generative AI models, agentic systems, and large language models
  • Familiar with agentic model design and ML evaluation frameworks
  • Degree in Computer Science, Machine Learning, or Artificial Intelligence is a plus

    • Compensation and Benefits

  • $170,000 - $230,000+
  • Dependent on experience
  • Comprehensive Benefits : Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays.

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    Machine Learning Engineer • Washington, DC, United States