
Staff AI/ML Engineer, Cloud AI Research
Sunnyvale, CAJob$207–300K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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Job overview
Google Cloud’s AI research organization develops agentic systems and optimized ML infrastructure, bridging research breakthroughs with production deployment. The Staff AI/ML Engineer will translate ambiguous executive requests into agent architectures and functional prototypes, build production-grade horizontal agents and enterprise solutions, and advance autonomous AI systems. The role also partners with product and engineering teams to scale prototypes and shares technical playbooks across Google.
Skills & qualifications
Skills
Qualifications
Full job description
Staff AI/ML Engineer, Cloud AI Research
Share Staff AI/ML Engineer, Cloud AI Research
corporate_fare Google place Sunnyvale, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Share Staff AI/ML Engineer, Cloud AI Research
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XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
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Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
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8 years of experience in software development, including coding experience in Python, C++, Java, JavaScript, or R.
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5 years of experience leading ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation, data processing).
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Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, ADK, tool-use/function-calling, or multi-agent R.
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Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models.
Preferred qualifications:
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Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
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Experience developing test-time scaling methods, search-guided decoding, and safe AI systems (hallucination mitigation, alignment guardrails).
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Experience building evaluation benchmarks, test harnesses, or simulation environments for complex reasoning, code generation, or multimodal tasks.
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Experience in RL, reward modeling, and human/AI preference alignment techniques (e.g., RLHF, RLAIF, DPO).
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Proven experience operating as a Staff technical lead in rapid SWAT, Pathfinding, or Forward Deployed Engineering (FDE) environments writing robust production code.
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Two or more first-author scientific publication submission(s) on agents in machine learning and natural language processing for conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
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.
The frontier of AI is moving faster than the traditional enterprise deployment life-cycle can tolerate. Breakthroughs frequently sit stranded in academic papers while production systems struggle with brittle orchestration and scaling bottlenecks. Our organization exists to eliminate that "GenAI Engineering Gap." Operating as an AI-Native pathfinding engine at the intersection of foundational research, optimized ML infrastructure and rapid prototyping, we don't simply publish papers; we build the future of AI agents and deploy them at breakneck speed.
In this role, you will operate as an "Ambiguity Buster," deconstruct complex requests from executive leadership, architect agent state machines and prove viability through functional Thinnest Viable Proofs (TVPs). You will write production-grade code to build both generalizable horizontal agents and vertical enterprise solutions, taking novel agentic prototypes directly into the field to solve real customer bottlenecks.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Lead 2–4 week "Strike Sprints" to rapidly prototype advanced agent state machines, tool-use orchestration and reflection loops, transforming boilerplate programming into intent-driven AI topologies.
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Partner with product and engineering teams via Forward Deployed Engineering (FDE), embedding into their workflows to translate novel agentic prototypes into scalable enterprise solutions targeting massive operational efficiencies.
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Build generalizable horizontal agents (e.g., AutoResearch and AutoFounder) to accelerate engineering/researcher velocity and automate end-to-end business value generation across Google.
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Develop state-of-the-art agent architectures, planning frameworks and self-improving foundation models to advance autonomous AI systems.
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Collaborate across Google to disseminate technical playbooks and agentic frameworks and optionally publish breakthroughs at ML conferences.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
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