AI/ML Engineer, National Security, Google Public Sector
Description For AI/ML Engineer, National Security, Google Public Sector
Google Public Sector is seeking an experienced AI/ML Engineer to join their National Security team in Reston, VA. This role combines deep technical expertise in machine learning with customer-facing responsibilities, making it an ideal position for those who want to impact national security through AI innovation.
The position requires a strong background in machine learning, with 6 years of hands-on experience in model development, deployment, and working with various ML frameworks like PyTorch, TensorFlow, and JAX. The successful candidate will need an active Top Secret clearance and be comfortable with up to 30% travel.
As an AI/ML Engineer, you'll be responsible for guiding National Security customers in implementing AI/ML solutions using Google Cloud products. This involves architecture guidance, best practices consultation, data migration, and hands-on implementation. You'll work directly with customers to design and deploy ML models, conduct workshops, and serve as a trusted technical advisor.
The role offers competitive compensation ($147,000-$216,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be part of Google Public Sector's mission to advance digital transformation in government and education sectors, working with cutting-edge AI technologies and high-impact national security projects.
Key responsibilities include creating technical content, delivering presentations, implementing production solutions, and coaching customers on ML system practices. The ideal candidate should have experience with LLMs, RAG architectures, and national security solutions, along with strong programming skills in Python and C++.
This position offers a unique opportunity to bridge the gap between Google's advanced AI capabilities and critical national security needs, while working with a diverse team committed to digital transformation in the public sector. The role combines technical depth with customer interaction, making it perfect for those who enjoy both solving complex technical challenges and driving customer success.
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 the 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
- 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.)
- 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
- Bonus
- Equity
- Benefits package
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