Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with Machine Learning (ML) design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience in working with Unix/Linux environments, distributed and parallel systems, networking, architecting software systems.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role with leading project teams and setting technical direction.
Experience in Artificial Intelligence (AI) concepts and in building AI applications.
Experience with Large Language Models (LLMs), including fine-tuning, retrieval-augmented generation (RAG), and agent-based systems.
Experience with the end-to-end lifecycle of AI-powered applications, from data ingestion to model serving and monitoring.
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Responsibilities
Be responsible for leading a team into building the next generation of Grounding on Web Search and unblock customers need to onboard on Vertex platforms.
Work on designing, implementing, and maintaining critical systems that run the stack and advance its capabilities to scale to the customers needs.
Build algorithms to improve Large Language Model (LLMs) and improve Search ranking.
Improve model qualities to better serve grounded results. Build and train specialized models to improve quality of grounding stack.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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