Research Scientist, Generative Retrieval and Ranking

Google; New York (NY); On-site; USD 141,000 - 202,000; Full time

Job summary

A leading technology company seeks a Research Scientist focused on generative retrieval and ranking. The candidate will conduct advanced research, design efficient algorithms, and contribute to the broader research community. Ideal for those with a PhD in a related field and extensive experience in machine learning and AI.

Qualifications

• PhD degree in Computer Science or a related field.
• Experience publishing in research forums (ICML, ICLR, NeurIPS).
• Experience building information retrieval models and large-scale ML systems.

Responsibilities

• Set research agenda and conduct theoretical and applied research.
• Design new algorithms and memory-augmented models.
• Write production-quality code and collaborate across teams.

Skills

Machine Learning Algorithms

AI Algorithms

Coding

System Design

Software Development

Natural Language Processing

Generative AI

Information Retrieval

Ranking models

Embedding systems

Education

PhD in Computer Science or related field

Job description

Research Scientist, Generative Retrieval and Ranking

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Research Scientist, Generative Retrieval and Ranking

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• PhD degree in Computer Science, a related field, or equivalent practical experience.
• Experience contributing to research communities including publishing in forums (e.g., ICML, ICLR, NeurIPS, or related).
• Experience with Machine Learning Algorithms, Machine Learning, AI Algorithms, Coding, System Design, Software Development.
• Experience with Large Language Models, NLP, or Generative AI.
• Experience building Information Retrieval and Ranking, Machine Learning, Embedding systems.
  
  

Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• Experience contributing to research communities including publishing in forums (e.g., ICML, ICLR, NeurIPS, or related).
• Experience with Machine Learning Algorithms, Machine Learning, AI Algorithms, Coding, System Design, Software Development.
• Experience with Large Language Models, NLP, or Generative AI.
• Experience building Information Retrieval and Ranking, Machine Learning, Embedding systems.
  
  

Preferred qualifications:

• Experience building large models (language or multi-modal).
• Knowledge of machine learning engineering.
  
  

About the jobAs 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.

FLOS' mission is to conduct fundamental research and build efficient, high-quality deep retrieval and ranking models for Google products.

SWEFF is a cross-Google effort whose mission is to deliver transformative innovations in ML efficiency.

In this role, you will work on the intersection of Free/Libre/open-source software (FLOS) and Scaling With EFFiciency (SWEFF) to develop next-generation efficient retrieval and ranking models.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Set research agenda, conduct theoretical and applied research.
• Design new algorithms to improve efficiency and capability of LLMs.
• Design new retrieval and memory augmented models. Design evaluations of the above.
• Write production quality code. Collaborate with partner research and product teams.
  
  
  

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 .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Information Services and Technology, Information and Internet

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