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Research Engineer, Responsibility, DeepMind

Google

Mountain View, CAJob$207–300K/yrSeen 1w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$207–300K/yr
Location
Mountain View, CA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Research Engineer role at DeepMind focuses on responsible AI, designing and prototyping scalable solutions, collaborating with research scientists, establishing best practices, presenting findings, and leading project teams to advance AI safety and ethics.

Skills & qualifications

RequiredNice to have

Skills

Python ProgrammingGenerative AIGenerative AI AgentsNatural Language ProcessingLarge Language ModelsCloud AI/Machine Learning SystemsKaggleTensorFlowPyTorch

Qualifications

Bachelor's Degree in Computer Science or Math or Related Technical Field or Equivalent Practical Experience8 Years of Python Programming ExperienceMaster's Degree or PhD in Computer Science or Math or Technically Oriented MBA DegreeExperience With AI Ethics Responsible Development Trust and Safety or Adversarial ThinkingEnglish Proficiency Required

Full job description

Research Engineer, Responsibility, DeepMind

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corporate_fare DeepMind place Mountain View, CA, USA; New York, NY, USA

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XNote: 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:

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

  • 8 years of experience in Python programming.

  • Experience with generative AI, generative AI agents, natural language processing (NLP), and large language models (LLMs).

  • Experience with Cloud AI/Machine learning systems and tools (e.g., Kaggle, TensorFlow, PyTorch etc.).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or Math, or technically-oriented MBA degree.

  • Experience with AI ethics, responsible development, trust and safety, or adversarial thinking.

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.

In this role, you will be joining a specialized Applied Research and Responsibility team within Google. While our reporting structure sits within Google's broader Global Affairs organization, 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 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: $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 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.

  • Lead project teams and set technical direction.

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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