Google Public Sector is seeking an AI/ML Engineer to guide National Security customers in implementing AI and ML solutions. This role combines technical expertise with customer-facing responsibilities, requiring deep knowledge of machine learning model development and deployment. The position demands 6 years of experience in ML and customer relations, with a focus on national security applications. The role involves traveling to customer sites (up to 30%), delivering workshops, and working with various stakeholders to ensure successful implementation of Google Cloud products. The position requires active TS/SCI clearance and offers competitive compensation ($147,000-$216,000 + bonus + equity + benefits).
The ideal candidate will have experience with various ML frameworks (PyTorch, Tensorflow, Jax), AI accelerators, and model architectures. They should be comfortable optimizing Large Language Models, working with RAG architectures, and have experience in building solutions for National Security customers. The role involves significant collaboration with Product Management and Engineering teams to enhance Google Cloud products.
Key responsibilities include providing technical guidance, creating educational content, implementing solutions, and coaching customers on ML systems. The position offers an opportunity to work with cutting-edge AI technology while serving critical national security interests. The role combines technical depth with customer interaction, making it ideal for those who enjoy both technical challenges and client engagement.
Google Public Sector focuses on helping US public sector institutions accelerate their digital transformations, making this role crucial in bridging advanced AI capabilities with government needs. The position offers comprehensive benefits and the opportunity to work on meaningful projects that impact national security.