Research Scientist, Ads QUEST

Google; Mountain View (CA); On-site; USD 141,000 - 202,000; Full time

Job summary

A leading technology company is seeking a Research Scientist for its Ads QUEST team. In this role, you will leverage your expertise in machine learning to enhance and innovate Google's advertising technologies. You will conduct cutting-edge research, collaborate with cross-functional teams, and influence the development of user-facing products. Candidates should possess a PhD in Computer Science or a related field, and have substantial experience with deep learning libraries.

Qualifications

• PhD in Computer Science or related field required.
• Experience with deep learning libraries like PyTorch, TensorFlow or Keras is essential.
• At least one scientific publication submission is necessary.

Responsibilities

• Adapt and fine-tune Gemini models for Ads applications.
• Collaborate with Google DeepMind team.
• Develop ML modeling techniques that influence Ads products.

Skills

Deep learning libraries

Data analysis

Python

JavaScript

R

Java

C++

Education

PhD degree in Computer Science or related field

Job description

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Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Los Angeles, CA, USA; Mountain View, CA, USA.Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• Experience working with deep learning libraries such as PyTorch, TensorFlow, or Keras.
• Experience working with data sets.
• Experience in Python, JavaScript, R, Java, or C++.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
  
  

Preferred qualifications:

• 1 year of experience leading research efforts and influencing other researchers.
• Experience in deploying machine learning models in production.
• Experience with computational advertising or web search.
  
  

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.

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

• Adapt and fine-tune Gemini models for retrieval, pseudo-rater, and other Ads applications.
• Collaborate with researchers and engineers in the Google DeepMind Gemini pre-training team.
• Develop Machine Learning (ML) modeling techniques that influence Ads products.
• Work with product teams to develop and deploy user-facing products.
• Author research papers to share and generate impact of research results across organizations and in the research community.
  
  
  

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

  General Business, Strategy/Planning, and Consulting

• Industries

  Information Services and Technology, Information and Internet

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