Zachary Piper Solutions
Machine Learning Engineer
Zachary Piper Solutions, San Francisco, California, United States, 94199
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. This job opens on 9/10/2025 and will take applicants for 30 days
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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. This job opens on 9/10/2025 and will take applicants for 30 days
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