Research Engineer, Gemini Information Retrieval, DeepMind

Google LLC; Mountain View, San Francisco (CA, CA); On-site; USD 174,000 - 252,000; Full time

Job summary

DeepMind, a Google AI lab, seeks a Research Engineer for Gemini Information Retrieval in Mountain View, CA. You will advance information retrieval models and scale promising ideas for real-world use, collaborating with cross-functional teams.

You will work on LLMs, IR, and multi-stage training pipelines, contributing to state-of-the-art AI research while aligning with product and deployment goals.

Qualifications

• PhD or equivalent practical experience in a related field.
• 5+ years of ML experience with focus on LLMs or information retrieval.
• 3+ years of software engineering in Python, C++, JAX, or PyTorch.

Responsibilities

• Uncover opportunities at Gemini, Search, factuality, continual learning, deep research, and more.
• Analyze models and model-driven products beyond current leaderboards and measure ideal behavior.
• Use findings to create practical interventions to improve models across all downstream surfaces.
• Collaborate with product teams (e.g., Search, YouTube) to scale research into production environments.

Skills

Machine learning

LLMs

Software engineering

Python

C++

JAX

PyTorch

Education

PhD in Computer Science / Data Science / AI / ML or related field

Tools

Python

C++

JAX

PyTorch

Job description

Research Engineer, Gemini Information Retrieval, DeepMind

Share Research Engineer, Gemini Information Retrieval, DeepMind

DeepMind Mountain View, CA, USA ; San Francisco, CA, USA

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.

• PHD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
• 5 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR).
• 3 years of experience with software engineering in one or more programming languages or frameworks (e.g., Python, C++, JAX, PyTorch), including experience implementing multi-stage training pipelines or algorithms.

Preferred qualifications:

• Experience developing Reinforcement Learning (RL) algorithms, automated evaluation systems, or LLM reflection and reasoning frameworks.
• Experience rapidly prototyping and iterating on complex systems, generative AI models, or multi-stage pipelines.
• Experience collaborating with product engineering teams to deploy machine learning models or research innovations into large-scale production environments (e.g., Search, Recommendation Systems)
• Track record of learning new software tools, frameworks, and codebases quickly to solve complex technical obstacles.

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 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 - $252000 (USD) + 15% bonus target + equity + benefits

• Uncover opportunities in the intersection of Gemini, Search, factuality, continual learning, deep research, and more.
• Analyze models and model-driven products beyond what the current leaderboards show and understand the problem space and create new ways to measure ideal behavior.
• Use your findings to create practical interventions to improve our models across all downstream surfaces.
• Collaborate with product teams (e.g., Search, YouTube) to scale research into production environments.

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.

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.

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.