Principal Staff Software Engineer, AI and Data Infrastructure

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development and with data structures/algorithms in Python.
• 7 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure.
• 5 years of experience with speech/audio, reinforcement learning, or related ML field.
• 5 years of experience with design and architecture; and testing/launching software products.

Nice to haves:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• Knowledge of Generative AI (GenAI) model development fine-tuning and model adaptation.
• Knowledge of ML systems and infrastructure for production with customers and engineers.
• Ability to develop a use-case specific definition for the data and pragmatically balance trade offs for research, privacy, and product usage.

What you'll be doing:

• Collaborate with Google Cloud and Google DeepMind teams to ensure model improvements.
• Navigate technical ambiguity and bring clarity to engineering work.
• Balance architectural and design responsibilities with active coding.
• Develop and implement systems-based solutions to problems.
• Drive technical project strategy and lead ML infrastructure optimization.

Perks and benefits:

• Opportunities to switch teams and projects.
• Versatile work environment.
• Leadership development opportunities.
• Work on critical projects for Google's needs.