Senior 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 (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making) or ML infrastructure, 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 the Gemini models are improved rapidly based on customer feedback.
• Work across teams and organizations to navigate technical ambiguity and bring clarity to the engineering work. This requires active scoping and driving progress with detailed attention to technical details while aligning it with a big picture strategy.
• Balance architectural and design responsibilities with active participation in coding to provide technical leadership and accelerate development cycles, ensuring seamless integration and rapid iteration across teams.
• Develop and implement systems-based solutions to problems, balancing planning with rapid iteration to achieve timely results.
• Drive technical project strategy, lead Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Perks and benefits:

• Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
• Deliver enterprise-grade solutions that leverage Google’s cutting-edge technology.
• Tools that help developers build more sustainably.
• Equal opportunity and affirmative action employer.
• Global company with opportunities for growth and career advancement.