Research Scientist, Gemini Commercial Intelligence, DeepMind

Google LLC; Mountain View (CA); Presencial; USD 207.000 - 300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits

Descripción de la vacante

Google DeepMind is seeking a Research Scientist to design, run, and scale experiments across language and multimodal AI domains. You will push forward advanced research ideas, publish findings, and collaborate with internal teams and partner institutions to accelerate practical GenAI innovations.

The role emphasizes rapid prototyping, benchmarking, and bridging research results to real-world products, contributing to a diverse, high-impact research program with multiple domains.

Formación

• Bachelor's degree or equivalent practical experience.
• 2 years of experience building and shipping technical products.
• 2 years of experience leading a research agenda.
• Experience in generative AI and Large Language Models (LLM).
• One or more scientific publication submissions.

Responsabilidades

• Set up large-scale tests and deploy promising ideas quickly and broadly.
• Manage deadlines and deliverables while applying latest theories to develop new products or technologies.
• Create experiments and prototyping implementations and design new architectures.
• Contribute to the wider research community by sharing findings with internal teams and external collaborators.

Conocimientos

Generative AI

LLMs

Research leadership

Product shipping

Educación

Bachelor’s degree or equivalent

Master’s degree or PhD

Publications submissions

Descripción del empleo

corporate_fare DeepMind place Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience building and shipping technical products.
• 2 years of experience leading a research agenda.
• Experience in the domain area of generative AI and Large Language Models (LLM).
  

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of research experience (e.g., model training/deployment, efficiency optimization, data pipeline design, ML infra).
• 2 years of experience leading research efforts and influencing other researchers.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup 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. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Join a collaborative and vibrant team of experts in LLMs, multimodal generation/understanding, ML efficiency, and RecSys. We focus on: 1. benchmarking and improving Gemini models across modalities to advance users' commercial journey; 2. self-improving agents to power ML modeling and innovative GenAI experiences across Gemini, Ads, Commerce, and Google. In this role, you will be driving research innovations, rapid-prototyping concepts, curating benchmarks, designing experiments, and bridging the path from research to fruition.

Some of our current projects focus on these areas:

• Natural Language & Multimodal Understanding/Generation
• Planning and reasoning
• Agents

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup 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. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Join a collaborative and vibrant team of experts in LLMs, multimodal generation/understanding, ML efficiency, and RecSys. We focus on: 1. benchmarking and improving Gemini models across modalities to advance users' commercial journey; 2. self-improving agents to power ML modeling and innovative GenAI experiences across Gemini, Ads, Commerce, and Google. In this role, you will be driving research innovations, rapid-prototyping concepts, curating benchmarks, designing experiments, and bridging the path from research to fruition.

Some of our current projects focus on these areas:

• Natural Language & Multimodal Understanding/Generation
• Planning and reasoning
• Reinforcement Learning
• Agents

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. 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 about benefits at Google .

• Work with experts on LLMs, multi-modal, recommendation systems, personalization, and ML efficiency.
• Drive new research ideas from conception, experimentation, to production in a rapidly shifting landscape.
• Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.

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.

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.