Research Scientist, Provenance, DeepMind

Google LLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google DeepMind in London seeks a Research Scientist focused on provenance and robust ML. You will collaborate with domain experts to advance trustworthy machine learning and the provenance of synthetic media.

You will publish impactful research, report findings, and contribute to strategic initiatives across multiple domains, including robustness, data trustworthiness, and watermarking techniques.

Qualifications

• PhD in ML or equivalent research/industry experience.
• Experience in scripting languages and pipelining tools.
• Experience in programming.
• Quantitative experience in maths and statistics.
• Published work in a ML conference on robustness or image/video generation/classification.

Responsibilities

• Engage with existing research efforts in the Strategic Initiatives Program to solve key challenges using broad ML experience.
• Collaborate with researchers and ML engineers to identify and develop novel ML approaches to solve meaningful strategic problems.
• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet research goals for the wider science programme.

Skills

Scripting languages

Programming

Math & statistics

Publications

Robust ML

Research impact

AI

Education

PhD in Machine Learning

Tools

Watermarking

Job description

Research Scientist, Provenance, DeepMind

Share Research Scientist, Provenance, DeepMind

corporate_fare DeepMind place London, UK

• PhD in Machine Learning or equivalent research/industry experience.
• Experience in scripting languages and pipelining tools.
• Experience in programming.
• Quantitative experience in maths and statistics.
• Published work in a ML conference on the subject of robustness or image or video generation or classification.
  

Preferred qualifications:

• Experience in applying machine learning techniques to problems surrounding robust and trustworthy deployments of models.
• Experience with image, audio or text watermarking.
  
• Demonstrated success in delivering high quality research impact.
  
• Passion for AI.

About the job

Our team accelerates research in strategic projects that enable trustworthy, robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, we will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID , and we are actively pursuing other exciting projects across many disciplines.

We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

As a Research Scientist in Strategic Initiatives, you will use your machine learning expertise to collaborate with domain experts and other machine learning scientists within our strategic initiatives programs. Domains may include, but are not limited to, machine learning robustness, the provenance of synthetic media, and the trustworthiness of data.

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.

Responsibilities

• Engage with existing research efforts in the Strategic Initiatives Program to solve key challenges using your broad machine learning experience.
  
• Collaborate with researchers and machine learning engineers to identify and develop novel machine learning approaches to solve meaningful strategic problems.
  
• Report and present research findings and developments (including status and results) clearly and efficiently both internally and externally, verbally and in writing.
  
• Suggest and engage in team collaborations to meet research goals for the wider science programme.
  

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.