Research Scientist, Human-AI Interaction, DeepMind

Research Scientist, Human-AI Interaction, DeepMind Share Research Scientist, Human-AI Interaction, DeepMind

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corporate_fareDeepMindplaceLondon, UK; Mountain View, CA, USA; +3 more; +2 morelaptop_windowsRemote eligible

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info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: London, UK; Mountain View, CA, USA; New York, NY, USA. Remote location(s): Washington, USA.

Minimum qualifications:

• PhD degree in Computer Science, Human-Centered Computing, Cognitive Science, or a related field.
• 6 years post-PhD experience conducting research on topics relating to Human-Centered AI (e.g., postdoctoral work, faculty experience, industrial research, etc.).

Preferred qualifications:

• Experience communicating complex scientific concepts to academic and general audiences.
• Deep familiarity with relevant academic literature and commercial innovations in AI, HCI, and related areas.
• Strong track record of peer-reviewed publications in venues for AI, ML, HCI, or social science research.
• Proficiency in developing prototypes for exploring novel modes of Human-Computer Interaction (software or hardware).

About the job As a research scientist, you will leverage your expertise at the intersection of AI and Human-Computer Interaction to develop and execute a novel research agenda that identifies and explores key topics regarding the future of human interactions with artificial general intelligence, and the likely impacts of such interactions on individuals and society. You will communicate your findings to DeepMind stakeholders, the academic research community, and the general public through appropriate fora such as publication in rigorous peer-reviewed venues, the DMI platform, research symposia, prototypes and demonstrations, and other formats. You will have the opportunity to collaborate with interdisciplinary colleagues within DMI and DeepMind as you formulate and execute rigorous, forward-looking research on the future of Human-AI Interactions. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

• Develop and lead a novel research agenda addressing high-impact questions regarding the future of Human-AI Interactions.
• Collaborate with interdisciplinary colleagues from DMI and DeepMind in developing and executing research. Develop relationships with Google’s product and policy teams to translate research findings into company and global impact.
• Design, conduct, and analyze mixed-methods studies involving human-subjects, including lab studies, surveys, field experiments, and other appropriate methods for evaluating Human-AI Interactions.
• Develop artifacts for exploring and advancing the future of Human-AI Interactions, including hardware and/or software prototypes, new interaction techniques and interface designs, novel metrics, benchmarks, agents, simulations, and other methods and artifacts for investigating and advancing the field.
• Communicate research findings internally and externally via peer-reviewed scientific publications, whitepapers and tech reports, presentations, keynotes, workshops, blogs, and other media.

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.