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Research Scientist/Engineer, GenMedia Safety Post-Training TLM, DeepMind

DeepMindMountain View, CA, USA; New York, NY, USA
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

  • PhD or equivalent practical research experience.
  • 5 years of experience in a technical leadership role setting direction and guiding project workstreams.
  • 5 years of experience in a people management, supervision, or team leadership role.
  • 5 years of experience in machine learning, specifically working with large language models (LLMs), multimodal foundation models, or reinforcement learning (RL), along with safety and alignment specialization (e.g., model alignment, AI safety, or post-training techniques like Supervised Fine-Tuning and reward modeling).
  • One or more peer-reviewed scientific publications (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprints (arXiv).

Preferred qualifications:

  • 6 years of demonstrated experience initiating, scoping, and executing independent research agendas or leading collaborative academic projects.
  • Experience in core strategic focus areas: LLMs, post training, reasoning and reinforcement learning, agents, multimodal perception/vision, robotics, audio/speech, safety and alignment or scientific AI (health, materials, fusion).
  • Track record of bridging research breakthroughs with product engineering or external scientific/policy stakeholders.
  • Sustained record of first author and senior author scientific publications in premier peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, CVPR, SIGGRAPH, CoRL) or journals (e.g., Science, Nature, PNAS).

About the job

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.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

  • Define the architectural strategy for placing safety interventions across multimodal foundation models, balancing shared approaches with bespoke solutions.
  • Advance generalizable post-training methods across media types to ensure seamless alignment as new prompting and conditioning capabilities emerge.
  • Shape intrinsic model behavior to refuse severe harms while fulfilling borderline requests with high generation quality and controllability.
  • Partner with cross-functional teams to distill serving-time classifiers into training rewards and expand the safety and quality trade-off frontier.
  • Manage a team of 10 or more researchers and engineers, modeling scientific excellence and building a collaborative culture.

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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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