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Research Engineer, Responsible Frontier AI Research, DeepMind

Google

New York, NYJob$207–300K/yrSeen 2w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$207–300K/yr
Location
New York, NY
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

We are looking for a highly adaptable Research Engineer to join the Responsible Frontier AI Research team, driving rapidly evolving research engineering priorities, building robust infrastructure, scaling evaluations, and implementing mitigations while operating independently and collaborating across DeepMind, Research, Product, and Policy stakeholders.

Skills & qualifications

RequiredNice to have

Skills

Python ProgrammingJAXPyTorchTensorFlowC++Machine Learning EngineeringLarge-Scale Software SystemsResponsible AI

Qualifications

Bachelor's Degree in Computer Science, Machine Learning, Mathematics or Related Technical Field8 Years of Experience in Machine Learning Engineering or Large-Scale Software Systems3 Years of Python Programming Experience3 Years of Experience With ML Frameworks Such as JAX, PyTorch or TensorFlowMaster's Degree or PhD in Computer Science, Engineering or Related Field With Focus on Machine LearningExperience Working Directly on AI Safety or Responsible AI ResearchExperience in Python and C++ for High-Performance ML Library DevelopmentExperience With Harmful Manipulation Detection, Persuasion Modeling, Deceptive Behavior Analysis or AI Safety Evaluation and MitigationExperience Building Evaluation Frameworks, Benchmarks, or Automated Testing Pipelines for ML ModelsEnglish Proficiency Required

Full job description

Research Engineer, Responsible Frontier AI Research, DeepMind

Share Research Engineer, Responsible Frontier AI Research, DeepMind

corporate_fare DeepMind place New York, NY, USA

Share Research Engineer, Responsible Frontier AI Research, DeepMind

Minimum qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.

  • 8 years of experience in machine learning engineering or large-scale software systems.

  • 3 years of experience in Python programming

  • 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Engineering, or a related field with a focus on Machine Learning.

  • Experience working directly on AI safety, or responsible AI research.

  • Experience in Python and C++ for high-performance ML library development.

  • Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation.

  • Experience building evaluation frameworks, benchmarks, or automated testing pipelines for ML models.

About the job

We are looking for a highly adaptable Research Engineer to join our Responsible Frontier AI Research team. In this role, you will drive rapidly evolving research engineering priorities. Because the landscape of responsible AI shifts quickly, you will need to pivot seamlessly between different research initiatives and nimble experiments, building robust infrastructure, scaling evaluations, and implementing mitigations. You will be expected to operate with a high degree of independence, architect complex ML systems from scratch, and work across leadership and cross-disciplinary stakeholders.

You will be joining a specialized Applied Research and Responsibility team within Google while closely partnering with teams across Deepmind, Research, Product, and Policy to identify and address key challenges in responsible AI. Our work remains deeply integrated with Google DeepMind.

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 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

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

Responsibilities

  • Design, prototype, scale engineering solutions, and run rigorous experiments to address emerging research priorities within the Responsibility portfolio.

  • Work with Research Scientists to advance the state of the art in Responsible AI.

  • Act as a technical anchor for the team, establishing best practices for code quality, scalability, and system design.

  • Present complex engineering trade-offs and research results clearly to cross-functional stakeholders and leadership.

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.

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