Research Scientist, Google Ads

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a Research Scientist in Mountain View to lead large-scale experiments, deploy promising ideas, and push the frontiers of machine learning and natural language processing. You will design architectures, prototype implementations, and deliver results that influence Google Ads and related products.

You will publish findings and collaborate with internal teams and partner universities, contributing to a broad research agenda and advancing core technologies used across Google’s

Qualifications

• PhD in Computer Science or a related field or equivalent practical experience.
• Experience with modern large language model post-training or core generative model development in industry AI labs.
• One or more scientific publication submissions to conferences, journals, or public repositories.

Responsibilities

• Author research papers to share and generate impact across the team and the research community.
• Help grow research business across teams by sharing research trends and best practices.
• Develop novel machine learning and large language modeling techniques for Google products.
• Post-train and finetune LLMs for large-scale retrieval and other Ads applications.
• Collaborate closely with researchers across Google and DeepMind.

Skills

LLM concepts

Research experimentation

Publication awareness

Collaboration across teams

Education

PhD in Computer Science or related field

Publication submissions in top ML venues

Job description

corporate_fare Google place Mountain View, CA, USA

• PhD in Computer Science, a related field, or equivalent practical experience.
• Experience working on modern large language model post-training (e.g., supervised fine-tuning, RLHF) or core generative model development in an industry AI lab, research institute, or frontier AI organization.
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• 3 years of experience working in frontier AI research labs on pre-training or post-training teams.
• 1 year of experience owning and initiating research agendas.
• 1 year of experience with generative AI concepts (e.g., LLMs, diffusion) and development workflows.
• Experience in large language models or other generative AI tuning and optimization techniques.
• First author publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, COLM).

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.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Author research papers to share and generate impact of research results across the team and in the research community.
• Help in growing research business across teams by sharing research trends and best practices within the community.
• Develop novel machine learning and large language modeling techniques that influence Google products.
• Post-train and finetune Large Language Models (LLMs) for large-scale retrieval, pseudo-rater, and other Google Ads applications.
• Collaborate closely with researchers across Google and DeepMind.

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.