Senior Staff Research Engineer, Cloud AI Research

Google Inc.; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google Cloud AI Research engineers tackle high-impact AI research issues, advancing foundation models and GenAI for multimodal inputs and outputs. You will work across research and product teams to push the boundaries of enterprise AI, solving real-world problems and shaping model deployment at scale.

Your work contributes to reducing hallucinations, improving generalization, and enhancing retrieval-augmented LLMs while collaborating with colleagues across Google Cloud.

Qualifications

• 8 years of experience in software development.
• 7 years leading technical project strategy, ML design, and ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; testing/launching software products.
• 5 years of experience with GenAI techniques or related concepts.

Responsibilities

• Develop innovative machine learning and natural language processing techniques at high impact scale.
• Collaborate with Google Cloud product teams to translate research breakthroughs into products.
• Invent and implement generalizable methods for scalable enterprise AI solutions.
• Engage with researchers and engineers across Google.

Skills

Outcome ownership

Decision making

Software development

ML design

ML infrastructure

Project leadership

GenAI techniques

Education

Bachelor’s degree or equivalent practical experience

Job description

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corporate_fare Google place Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
  
• 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI - related concepts (e.g., language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures/algorithms.
• 5 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.
• Experience with publications in related research venues (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, etc).

About the job

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

As a part of the Google Cloud AI Research team, you will address high-impact AI research issues driven by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. You will work on a range of unique problems focused on maximizing both scientific and real-world impact, advancing AI across venues while collaborating with teams to bring innovations to production.
In this role, your work will involve improving foundation models to solve issues like hallucinations and generalization, retrieval-augmented LLMs and LLM-assisted search and pushing the boundaries of GenAI for multimodal inputs and outputs.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

As a part of the Google Cloud AI Research team, you will address high-impact AI research issues driven by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. You will work on a range of unique problems focused on maximizing both scientific and real-world impact, advancing AI across venues while collaborating with teams to bring innovations to production.
In this role, your work will involve improving foundation models to solve issues like hallucinations and generalization, retrieval-augmented LLMs and LLM-assisted search and pushing the boundaries of GenAI for multimodal inputs and outputs.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .

• Develop innovative machine learning and natural language processing techniques in the directions that are of high impact to the organization, push important scenarios, and publish outcomes at conferences and journals.
• Collaborate with Google Cloud product teams to address customer needs and realize the business impact of research breakthroughs via Google Cloud AI products.
• Invent and implement generalizable methods that perform at scale across various real-world AI issues of enterprises.
• Engage with and learn from researchers and engineers across Google.

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 .

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.

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.