Research Scientist, Gemini Retrieval and Agera, DeepMind

Google

Mountain View, CA

JOB DETAILS
SKILLS
Algorithms, Architectural Design, Artificial Intelligence (AI), Computer Hacking, Computer Programming, Computer Science, Data Mining, Deep Learning, Delivery Management, Environmental Research, Equal Employment Opportunity (EEO), IR (Infrared), Information Retrieval, Market Research, Mathematics, Modeling Languages, Natural Language Processing (NLP), Performance Analysis, Performance Management, Problem Solving Skills, Process Improvement, Production Systems, Prototyping, Reinforcement Learning, Scientific Research, Time Management, YouTube
LOCATION
Mountain View, CA
POSTED
21 days ago

Minimum qualifications:

  • Bachelor's degree in Computer Science, a relevant technical field with a focus on AI research, or equivalent practical experience.
  • 8 years of experience in the full lifecycle of research modeling, with a specific emphasis on ensuring quality outputs and autonomous learning in AI domains.
  • Experience in the full lifecycle of research modeling, with a specific emphasis on ensuring quality outputs and autonomous learning in AI domains.
  • Experience in developing and scaling Large Language Models (LLMs) or Information Retrieval (IR) systems.

Preferred qualifications:

  • Knowledge of Reinforcement Learning (RL) or automated evaluation systems.
  • Ability to solve exceptionally complex problems (e.g., math and programming competitions or developing novel algorithms).
  • Ability to quickly prototype and iterate on complex systems.
  • Strong coding skills and a "hacker" mindset for implementing complex algorithms and multi-stage training pipelines.
  • Interest in the intersection of research and large-scale real-world applications.

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: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

  • Design modeling innovations to enable Gemini to autonomously acquire and reason over deep, structured domain knowledge.
  • Advance next-generation retrieval architectures and natively multimodal Gemini representations to improve intent capture and retrieval quality.
  • Build and train models that can autonomously reflect on outputs and self-improve through experience.
  • Collaborate with product teams like Search and YouTube to scale research innovations into production environments, optimizing for both quality and efficiency.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V