AI Research Scientist, Applied AI, Google Cloud
Not Disclosed•Full-TimeOn-site
location_on602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
About the Team
The Cloud Applied AI (AAI) group powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience, featuring solutions like Shopping Agents, CX Agent Studio, Agent Assist, and Vertex AI Search. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed to shape the future of AI in a fast-paced, collaborative, and impactful environment.
About the Role
As a Research Scientist, you will set up large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. Your work will span the breadth of computer science, from machine and deep learning to natural language processing and core search. You will actively contribute to the wider research community by sharing and publishing your findings, drawing inspiration from internal projects as well as collaborations with research programs at partner universities and technical institutes worldwide.
In this role, you will design, develop, and deploy scalable and agentic AI solutions for enterprise use cases across domains like finance, sales, marketing, and retail. You will take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, and driving improvements through system changes or training data enhancements. You will drive progress through rapid experimentation cycles, proposing hypotheses, designing validation methods, and iterating quickly to find optimal solutions. Additionally, you will provide technical leadership on projects, facilitating clarity on goals and timelines while working with a small, experienced team to foster a culture of continuous improvement.
Hiring Process
Candidates are expected to demonstrate a strong research agenda and practical experience with machine learning algorithms and tools. The selection process evaluates both technical depth and the ability to influence technical directions within the organization.
Equal Opportunity
Google is an equal opportunity employer and a culture of inclusion. We consider qualified applicants regardless of background, race, gender, age, religion, disability, or veteran status.
Work location
Work model: On-site
602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
Sunnyvale, California
Key Responsibilities
- check_circleDesign, develop, and deploy scalable and agentic AI solutions for enterprise use cases
- check_circleTake ownership of AI quality by defining metrics and implementing evaluation frameworks
- check_circleImplement, optimize, and advance AI techniques using training-free and training-based approaches
- check_circleProvide technical leadership and facilitate clarity on project goals and timelines
- check_circleConduct design and code reviews to foster a culture of continuous improvement
- check_circleDrive progress through experimentation cycles including hypothesis proposal and result analysis
Requirements
- verifiedPhD in Computer Science, related field, or equivalent practical experience
- verified2 years of experience leading a research agenda
- verified2 years of experience with machine learning algorithms and tools or Applied ML
- verifiedCoding experience in Python, JavaScript, R, Java, or C++
- verifiedOne or more scientific publication submission(s) for conferences, journals, or public repositories
Nice to Have
2 years of coding experience. 1 year of experience leading research efforts and influencing other researchers. Experience developing and deploying AI solutions to solve large-scale problems. Experience implementing genAI tools, AI agents, multi-agent systems, or advanced automation strategies in enterprise environments. First-hand knowledge and practical experience with the entire product development process, from initial ideation and research to prototyping, testing, and final implementation. Ability to articulate technical concepts and influence technical directions.
Benefits & Perks
check_circleBonus, equity, and benefits included in compensation package
Similar Job Opportunities
Skills, education and keywords
Skills: Machine Learning, Applied ML, LLM'S, Generative Ai, NLP, Recommendations, Python, Javascript, R, Java.
Education: PhD in Computer Science, a related field, or equivalent practical experience.
Frequently asked questions about AI Research Scientist, Applied AI, Google Cloud at OPH
What does a AI Research Scientist, Applied AI, Google Cloud at OPH do?expand_more
Day-to-day, the AI Research Scientist, Applied AI, Google Cloud at OPH will design, develop, and deploy scalable and agentic ai solutions for enterprise use cases; take ownership of ai quality by defining metrics and implementing evaluation frameworks; implement, optimize, and advance ai techniques using training-free and training-based approaches; and provide technical leadership and facilitate clarity on project goals and timelines.
What are the requirements for this AI Research Scientist, Applied AI, Google Cloud role?expand_more
To qualify for the AI Research Scientist, Applied AI, Google Cloud at OPH position, applicants should have: PhD in Computer Science, related field, or equivalent practical experience; 2 years of experience leading a research agenda; 2 years of experience with machine learning algorithms and tools or Applied ML; Coding experience in Python, JavaScript, R, Java, or C++; and One or more scientific publication submission(s) for conferences, journals, or public repositories.
Where is the AI Research Scientist, Applied AI, Google Cloud role at OPH located?expand_more
AI Research Scientist, Applied AI, Google Cloud at OPH is based in 602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States. This is a on-site role.
Is this AI Research Scientist, Applied AI, Google Cloud job remote, hybrid, or on-site?expand_more
OPH has listed this AI Research Scientist, Applied AI, Google Cloud role as on-site.
How much experience is required for this AI Research Scientist, Applied AI, Google Cloud role?expand_more
AI Research Scientist, Applied AI, Google Cloud at OPH typically requires 2+ years of relevant experience at the senior level.
What skills do you need for the AI Research Scientist, Applied AI, Google Cloud role at OPH?expand_more
Key skills for AI Research Scientist, Applied AI, Google Cloud at OPH include Machine Learning; Applied ML; LLM'S; Generative Ai; NLP; Recommendations; Python; and Javascript.
What education is required for AI Research Scientist, Applied AI, Google Cloud at OPH?expand_more
Educational requirements for this role: PhD in Computer Science, a related field, or equivalent practical experience.
What category does the AI Research Scientist, Applied AI, Google Cloud role belong to?expand_more
AI Research Scientist, Applied AI, Google Cloud at OPH is part of the it job category on Recrutus.
About OPH
OPH
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