Senior Staff Software Engineer, AI and Data Infrastructure
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- 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.
Preferred qualifications:
- 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.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities
- 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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.