Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind

Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind

Share Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind

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Share Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind

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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: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, 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 LLMs, multimodal foundation models, or 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:

• Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical fields.

• 5 years of experience driving cross-functional initiatives across research, engineering, infrastructure, and product stakeholders.

• 5 years of technical leadership experience leading engineering workstreams, setting multi-year technical goal, and mentoring staff engineers.

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

About the job

Google DeepMind’s GenMedia Safety team defines the safety and alignment behavior of our flagship image, video, audio, and real-time interactive generative models. Working across safety post-training, runtime guardrails, evaluation, and threat intelligence, we address multi-stage systems whose visual and audio outputs carry high real-world stakes. Our mission is to protect people and society from harm while preserving creative freedom, neutrality, and user delight. We are responsible for making sure that Google DeepMind’s generative media models are deployed with the best GenAI safety in the world.

As Technical Lead and Manager for GenMedia Safety Evaluations and Threat Intelligence, you will build and lead a team of researchers and engineers responsible for measuring, stress-testing, and anticipating risks across multimodal, multi-turn, and agentic generative media systems. You will own how we translate nuanced safety, alignment, and product goals into measurable quantities, and you will ultimately own the quality and trustworthiness of data across the entire GenMedia Safety team. Working collaboratively with peers across post-training, runtime safety, and production monitoring, you will set the strategy and architect the solution that lets us make data-driven decisions across the entire development and deployment life-cycle.

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Translate safety and alignment goals into operational metrics, calibrated multimodal automated judges, and robust evaluation benchmarks.

• Build production-log evaluations and creatively probe system blind spots to continuously update multimodal threat models.

• Evaluate the quality of steered responses across media types and influence system infrastructure to ensure comprehensive logging.

• Govern dataset quality across the team and verify post-launch metrics to fold real-world data back into regression suites.

• Manage and mentor a team of 5 to 10 researchers and engineers while fostering a culture of scientific excellence.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.