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AI/ML Engineer, National Security, Public Sector
AI/ML Engineer, National Security, Public SectorGoogle Inc. • Reston, VA, US
AI / ML Engineer, National Security, Public Sector

AI / ML Engineer, National Security, Public Sector

Google Inc. • Reston, VA, US
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About the job

In this role, you will guide National Security customers on how to configure and deploy their Artificial Intelligence (AI) and Machine Learning (ML) solutions. You will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, etc. You will consult with customers on how to design their AI and machine learning solutions including development and deployment of ML models. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Location and travel

Reston, VA, USA; Washington, D.C., DC, USA. Ability to travel up to 30% of the time.

Responsibilities

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

Qualifications

  • 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 (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using ML APIs.
  • 6 years of experience in working with technical customers. Experience with Python.
  • Ability to travel up to 30% of the time.

    • Preferred qualifications

  • Experience in optimizing Large Language Models (LLMs) leveraging retrieval augmented generation (RAG) architectures and fine-tuning techniques.
  • Experience in building solutions for National Security customers.
  • Experience in working with multiple clouds.
  • Experience in C++ programming language.
  • Experience in Linux / Unix.
  • Ability to lead design and implementation of AI-based solutions, web services, and debugging tools; experience containerizing ML workloads.

    • Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity / expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights : workplace discrimination is illegal, Belonging at Google, and How we hire.

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    To all recruitment agencies : Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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    Public Sector • Reston, VA, US