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Research Engineer, Responsible Frontier AI Research, DeepMind

DeepMind

New York, NYJob$207–300K/yrPosted 2w agoStill listed today

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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

The role involves designing, prototyping, and scaling engineering solutions while conducting rigorous experiments to advance responsible AI research, collaborating with research scientists, establishing best practices for code quality and system design, and presenting complex trade‑offs and results to cross‑functional stakeholders and leadership.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningSoftware EngineeringData MiningNatural Language Processing SystemsSystems DesignScalabilityExperimentationBenchmarkingAutomated Testing FrameworkPythonC++JAXPyTorchTensorFlowAI SafetyHarmful Manipulation DetectionPersuasion ModelingDeceptive Behavior AnalysisEvaluation FrameworksBenchmarksAutomated Testing PipelinesLarge‑Scale Software SystemsSystem DesignExperiment DesignPrototyping

Qualifications

Bachelor's Degree in Computer Science, Machine Learning, Mathematics or Related Technical Field8 Years Experience in Machine Learning Engineering or Large‑Scale Software Systems3 Years Python Programming Experience3 Years 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 Models

Full job description

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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 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 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 about benefits at Google. 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'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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