Research Engineer, Gemini Information Retrieval, DeepMind

DeepMind Technologies Limited; San Francisco (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind is seeking a research-focused Software Engineer to help design, test, and deploy large-scale AI systems. You will run experiments, prototype architectures, and contribute to expanding capabilities across research programs and product interfaces.

The role emphasizes collaboration with product engineering teams (e.g., Search, Gemini) to scale research into production, improve model quality, and advance AI for broad global impact while upholding safety and ethical standards.

Qualifications

• PhD in CS/AI/ML or equivalent practical experience.
• 5 years in ML focusing on LLMs or IR.
• 3 years software engineering in one or more languages (Python, C++, JAX, PyTorch).

Responsibilities

• Uncover opportunities at intersection of Gemini, Search, factuality, continual learning, and more.
• Analyze models and measure ideal behavior beyond current leaderboards.
• Create practical interventions to improve models across downstream surfaces.
• Collaborate with product teams to scale research into production environments.

Skills

ML experience (LLMs/IR)

Education

PhD in CS/AI/ML or equivalent

Tools

Python

C++

JAX

PyTorch

Job description

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.

Minimum qualifications:

• 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

Responsibilities

Learn more about benefits at Google.

• 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 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.