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AI/ML Engineer, National Security, Google Public Sector

Google Public Sector brings Google solutions purpose-built for government and education enterprises, focusing on US public sector digital transformation.
$147,000 - $216,000
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI

Description For AI/ML Engineer, National Security, Google Public Sector

Google Public Sector is seeking an AI/ML Engineer to join their National Security team, focusing on guiding customers in implementing AI and ML solutions. This role combines technical expertise in machine learning with customer-facing responsibilities, requiring a blend of deep technical knowledge and consulting skills.

The position involves working with national security customers to design, configure, and deploy AI/ML solutions using Google Cloud products. You'll be responsible for providing architecture guidance, implementing best practices, managing data migration, and ensuring successful deployment of ML models. The role requires travel to customer sites for solution deployment and workshop delivery.

As an AI/ML Engineer, you'll work with cutting-edge technologies including Large Language Models (LLMs), retrieval augmented generation (RAG) architectures, and various ML frameworks. The position requires expertise in Python programming, machine learning model development, and experience with AI accelerators like TPUs and GPUs.

The role offers competitive compensation ($147,000-$216,000 base salary plus bonus and equity) and the opportunity to work on significant projects impacting national security. You'll be part of Google Public Sector's mission to advance digital transformation in government institutions, working with a team dedicated to meeting the complex needs of public sector organizations.

This position requires an active U.S. Government Top Secret Clearance and willingness to travel up to 30% of the time. The ideal candidate will combine technical excellence in ML/AI with strong communication skills and the ability to work effectively with both technical and business stakeholders.

Last updated 21 days ago

Responsibilities For AI/ML Engineer, National Security, Google Public Sector

  • Be a trusted technical advisor to customers and solve Machine Learning tests
  • Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations
  • Work with Customers, Partners, and Google Product teams to deliver solutions into production
  • Coach customers on practical tests in ML systems like feature extraction/feature definition, data validation, monitoring, and management of features/models

Requirements For AI/ML Engineer, National Security, Google Public Sector

Python
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience
  • 6 years of experience with machine learning model development and deployment, frameworks (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators, and model architectures
  • 6 years of experience in working with technical customers
  • Experience with Python
  • Active U.S. Government Top Secret Clearance
  • Ability to travel up to 30% of the time

Benefits For AI/ML Engineer, National Security, Google Public Sector

Medical Insurance
401k
Equity
  • bonus
  • equity
  • benefits package

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