Senior Research Engineer, Multimodal Reasoning and Media Forensics, DeepMind

Senior Research Engineer, Multimodal Reasoning and Media Forensics, DeepMind Share Senior Research Engineer, Multimodal Reasoning and Media Forensics, DeepMind

• linkCopy link
• emailEmail a friend

corporate_fareDeepMindplaceMountain View, CA, USA; San Francisco, CA, USA

Apply

Share Senior Research Engineer, Multimodal Reasoning and Media Forensics, DeepMind

• linkCopy link
• emailEmail a friend

info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco 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: Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

• PhD in Computer Science, AI, ML, a related field, or equivalent practical experience.
• 2 years of software development or ML research experience, or education equivalent credit (e.g., internships, student research, pre-graduate working experience) using Python and deep learning frameworks (e.g., Jax and TensorFlow, PyTorch), and experience building research prototypes and systems.
• 2 years of experience in training and deployment of large-scale models.
• 2 years of experience developing computer vision techniques or multimodal machine learning models.
• One or more peer-reviewed scientific publication submissions (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprint repositories (arXiv).

Preferred qualifications:

• Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.

About the job At DeepMind, our research team is dedicated to addressing the most complex issues in online information quality. We strive to advance the developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse. A prime example of the AI systems you will work on in the media integrity domain is Backstory. Our interdisciplinary work spans provenance analysis and the creation of models and tools for AI-assisted information literacy, leveraging our technologies for the widespread public benefit of a safer online environment. We grow in a supportive environment that encourages rapid prototyping and iteration, driving our research achievements directly into Google’s flagship models, including Gemini.

In this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques.Artificial intelligence will be one of humanity’s most transformative inventions. At 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

• Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques applied to determining authenticity of media information.

• Design and train multimodal models capable of complex visual reasoning.

• Undertake exploratory analysis to inform experimentation and research directions.

• Engage with product teams to drive the development of our research.

• Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. 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. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. 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. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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.