Research Engineer, Chemical, Biological and Nuclear AI Safety, DeepMind

Google LLC; Mountain View (CA); Vor Ort; USD 174.000 - 252.000; Vollzeit

Zusammenfassung

DeepMind's Responsible Frontier AI Research team seeks a Research Engineer in Mountain View to advance safeguards for chemical, biological, radiological, nuclear, and explosive AI systems. You will write production-grade code, run evaluations, and collaborate with biologists, chemists, and physicists to prevent misuse while enabling scientific progress.

Responsibilities include designing safeguards, conducting rigorous evaluations, and coordinating with experts to transform judgments into

Qualifikationen

• Bachelor's degree in a Management, Scientific, Technical, or Engineering field, or equivalent practical experience.
• 5 years of experience writing code in a shared, version-controlled codebase with other contributors, which may include research software.
• 3 years of experience training, fine-tuning, or evaluating machine learning models.

Aufgaben

• Build novel safeguards and attack them with automated and manual red teaming, while measuring their cost to legitimate scientific research.
• Design, build and run evaluations for chemical, biological, radiological, nuclear and explosives risk in frontier models, including agentic systems risk.
• Lead the reliability of key systems, including safeguards and incident response.
• Partner with leading scientific experts to turn their judgment into datasets and automated graders, managing sensitive data under strict security controls.

Kenntnisse

Coding in shared codebase

ML model training

Ausbildung

Bachelor's degree in Engineering/Scientific/Management field

Jobbeschreibung

Research Engineer, Chemical, Biological and Nuclear AI Safety, DeepMind

Share Research Engineer, Chemical, Biological and Nuclear AI Safety, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

• Bachelor's degree in a Management, Scientific, Technical, or Engineering field, or equivalent practical experience.
• 5 years of experience writing code in a shared, version-controlled codebase with other contributors, which may include research software.
  
• 3 years of experience training, fine-tuning, or evaluating machine learning models.
  

Preferred qualifications:

• Master's degree or PhD in Chemistry, Physics, Chemical, Nuclear Engineering, Biology, or a Computational Science.
• Experience building classifiers or evaluation infrastructure for large language models.
  
• Experience applying statistics to machine learning evaluation.
• Experience running software in production, including monitoring, on-call or incident response.
  

Experience in chemical, biological, radiological or nuclear security, export control, or adversarial work such as red teaming, security research or abuse prevention.

About the job

Google’s Chemical, Biological, Radiological, Nuclear, and Explosives team in Responsible Frontier Artificial Intelligence Research makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm. We are a team of engineers working alongside biologists, chemists, and physicists. Deep expertise in one field is plenty; nobody on the team covers all of them. In this role, you will do applied research, write production code, and launch the resulting safeguards to billions of users.

This role is probably not for you if you want to publish most of what you do, or if you are looking for a policy or purely research position. Expect strict data managing, tight release timelines, and an on-call rotation. You will read and debate technical material about mass-casualty harm and how to prevent it. You will dig into the small discrepancies that hint at big problems. One week you might design new safeguards; the next, find out why an evaluation result looked too good to be true, or attack our safeguards before someone else does.

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

Learn more about benefits at Google .

• Build novel safeguards and attack them with automated and manual red teaming, while measuring their cost to legitimate scientific research.
• Design, build and run evaluations for chemical, biological, radiological, nuclear and explosives risk in frontier models, including agentic systems risk.
  
• Lead the reliability of key systems, including safeguards and incident response.
• Partner with leading scientific experts to turn their judgment into datasets and automated graders, managing sensitive data under strict security controls.
  

Communicate results, including uncertainty and negative findings, to technical staff and leadership.

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 .

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.

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