Research Scientist, Google Ads

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

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google is seeking a Research Scientist to set up large-scale tests, deploy promising ideas quickly, and design new architectures across ML and NLP. You’ll prototype implementations and translate theory into products.

You will publish findings with internal and external collaborators, advancing generative AI techniques that benefit Google Ads and related applications. As part of Google’s research community, you’ll work with cross-functional teams to push the boundaries of machine learning and

Qualifications

• PhD in Computer Science or 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 industry AI labs, research institutes, or frontier AI organizations.
• One or more publications in conferences, journals, or public repositories (CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Responsibilities

• Author research papers to share and generate impact of research results across the team and in the research community.
• Help grow 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 and other Google Ads applications.
• Collaborate closely with researchers across Google and DeepMind.

Skills

LLM research

Generative AI concepts

Research leadership

Pre-training / post-training workflows

Education

PhD in CS or related field

Equivalent practical experience

Publications in top ML conferences

Job description

• 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.).

Minimum qualifications

• 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

Responsibilities

Learn more about benefits at Google.

• 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 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.