Research Engineer, Frontier Safety Risk Assessment, DeepMind

Research Engineer, Frontier Safety Risk Assessment, DeepMind - Google Careers

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Research Engineer, Frontier Safety Risk Assessment, DeepMind

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corporate_fareDeepMindplaceSan Francisco, CA, USA; London, UK; +2 more; +1 more

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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: San Francisco, CA, USA; London, UK; New York, NY, USA.

Minimum qualifications:

• Bachelor"s degree or equivalent practical experience.
• 5 years of experience in deep learning or with large foundation models.
• Experience designing and implementing AI experiments and systems using Python.
• Experience identifying, assessing, or mitigating advanced AI model risks in production systems.
• Experience communicating technical concepts or research insights to technical stakeholders.

Preferred qualifications:

• Ph.D. in Computer Science, Machine Learning, or a related technical field.
• Experience in areas such as frontier risk assessment or mitigations, AI safety, and alignment.
• Experience collaborating on or leading applied research projects.
• Engineering experience with Large Language Model (LLM) training and inference.
• A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL workshops, EMNLP, AAAI, or UAI.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.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 various 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 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Drive novel research to measure, assess, and prioritize risks from frontier AI models.
• Identify and analyze emerging risk pathways in areas including loss of control, Machine Learning (ML) Research and Development (R&D), cybersecurity, and harmful manipulation.
• Design and develop new methods for measuring pre-mitigation and post-mitigation risk, incorporating forecasting and scenario planning.
• Implement research findings and build technical solutions using Python, interacting with various codebases.
• Prioritize research and engineering efforts within pragmatic constraints of compute and time to maximize value of information.

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.

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