Staff Software Engineer, AI/ML GenAI, Google Cloud Platforms
AI Summary ✨
Requirements:
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Nice to haves:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
What you'll be doing:
Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
Perks and benefits:
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
To all recruitment agencies: Google does not accept agency resumes.