Senior Software Engineer, Applied Machine Learning

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++, and with data structures/algorithms.
• 5 years of experience with design and architecture; and testing/launching software products.
• 3 years of experience with machine learning algorithms and tools, with 2 years of experience building production quality Machine Learning (ML) systems and infrastructure.

Nice to haves:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with launching applied Machine Learning or Natural Language Processing projects.
• Experience with Generative AI techniques (e.g., LLMs, Multimodal, Large Vision Models) or with Generative AI-related concepts (e.g., language modeling, computer vision).

What you'll be doing:

• Leverage products built by the rest of Google, build a high-performing Generative AI platform for first-party developers to apply ML (e.g., multi-agent systems, prompt engineering, model optimization, etc.) into emerging and existing consumer products.
• Collaborate with other stakeholders to ensure delivery of APIs globally.
• Design, develop, and maintain the infrastructure behind Google's first-party Generative AI platform, ensuring scalability, reliability, and performance.
• Build and enhance API features with generations of LLMs.
• Collaborate with cross-functional teams to deliver solutions.

Perks and benefits:

• Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
• Opportunities to switch teams and projects as you and the business grow.
• Empowerment through Generative AI enablement tools.
• Work on a specific project critical to Google’s needs.