Research Scientist, Adaptive Compute, DeepMind

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Android, Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Artificial Intelligence (AI) Programming Languages, Cloud Computing, Commodity Management, Computer Engineering, Computer Science, Customer Service Management, Data Mining, Deep Learning, Delivery Management, Disk Management, Electrical Engineering, English Language, Equal Employment Opportunity (EEO), Facilities Management, Field Sales, Financial Services, Genetics, Hard Drives, Information Technology & Information Systems, JAX (Java API for XML), Leadership, Machine Learning, Machine Tool, Manufacturing, Market Research, Mathematics, Modeling Languages, Natural Language Processing (NLP), Network Operations Center, Performance Analysis, Performance Management, Problem Solving Skills, Process Improvement, Product Management, Product Support, Prototyping, Quality Engineering, Recruiting/Staffing Agency, Regulatory Requirements, Sales Management, Scientific Research, Stock Purchase Plans, Structural Engineering, Tape Backup, Technical Support, Time Management, User Experience Design (UXD)
LOCATION
Mountain View, CA
POSTED
3 days ago

Research Scientist, Adaptive Compute, DeepMind - Google Careers

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Research Scientist, Adaptive Compute, DeepMind

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corporate_fareDeepMindplaceNew York, NY, USA; Mountain View, CA, 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: New York, NY, USA; Mountain View, CA, USA.

Minimum qualifications:

  • PhD degree in Computer Science or Computer Engineering, similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology) or equivalent practical experience.
  • 2 years of experience with one or more machine learning frameworks (e.g., PyTorch, JAX, or TensorFlow).
  • Experience with Generative AI, Generative AI Agent, Natural Language Processing, Large Language Model.

Preferred qualifications:

  • 3 years of experience applying and productionizing large visual, language, and multimodal research.
  • 1 year of experience leading research efforts and influencing other researchers.
  • Experience developing, fine-tuning, and deploying generative AI and Large Language Models (LLMs) in enterprise environments.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you"ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

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 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Develop new modeling solutions for obtaining better quality-efficiency tradeoffs in generative models.
  • Translate research ideas into Gemini production codebase by solving challenging engineering tasks.
  • Implement new architecture modifications in Gemini codebase, working with pre-training and post-training pipelines, conducting experiments, identifying new directions and proposing solutions.

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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