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Machine Learning Engineer

Machine Learning Engineer

Zachary PiperWashington, DC
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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 ., and New York City

Responsibilities of the Machine Learning Engineer :

  • 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 for the Machine Learning Engineer :

  • Active . 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.

    • #LI-ONSITE

    #LI-EA1

    security cleared, AI engineer, machine learning engineer, deep learning, deep reinforcement learning, computer vision, natural language processing, generative AI, large language models, agentic systems, ML infrastructure, ML pipelines, Python, PyTorch, TensorFlow, AWS, GCP, cloud deployment, scalable systems, distributed systems, hyperparameter tuning, model optimization, ML evaluation, AI mission systems, federal AI, public sector AI, GenAI, AI software engineer, AI in government, AI security, AI architecture, AI product development, AI prototyping, AI research, AI deployment, AI jobs, hybrid AI roles, San Francisco AI jobs, Washington DC AI jobs, NYC AI job

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    Machine Learning Engineer • Washington, DC