Principal Research Engineer, AI Systems, DeepMind

Google; Mountain View (CA); On-site; USD 307,000 - 427,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google DeepMind in Mountain View, CA seeks a Principal Research Engineer for AI Systems to advance scalable AI architectures and expert models. You will collaborate with cross-functional teams to push pre-computation of expertise, automated domain pre-computation, and large-scale evaluation to deliver high-impact innovations.

The role requires a Bachelor's degree with 15 years of engineering experience and involves leading multi-team initiatives with a strong emphasis on safety and ethics in AI

Qualifications

• Bachelor's degree in related technical field, or equivalent practical experience.
• 15 years of experience in engineering or related function.

Responsibilities

• Partner with product and research teams across Google DeepMind and Google to invent 0-to-1 features and products powered by Agera, identifying leverage and aligning teams.
• Develop across the full AI systems stack, including agent harnesses, subagent swarms, and advanced retrieval indices.
• Balance rapid prototyping with clean, scalable code and lead complex engagements end-to-end.

Skills

LLM stack

Technical leadership

Multi-team coordination

Information retrieval

Education

Bachelor's degree

Tools

Python

C++

Job description

Principal Research Engineer, AI Systems, DeepMind

Share Principal Research Engineer, AI Systems, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

• Bachelor's degree in related technical field, or equivalent practical experience.
• 15 years of experience in engineering or related function.

Preferred qualifications:

• Experience with the modern LLM stack (e.g., agent architectures and harnesses, multi-agent swarms, post-training/fine-tuning/RL, or large-scale LLM evaluation).
• Experience in software engineering, systems infrastructure, or AI/ML modeling using Python and C++.
• Experience with technical leadership and driving multi-team, cross-functional projects from inception to delivery.
• Experience in information retrieval, search and ranking systems, clustering, or large-scale data processing infrastructure.

About the job

Going beyond standard long-context retrieval, we are developing the Agera Kernel—a scalable engine designed for "pre-computation of expertise." The system leverages map-reduce style processing, agentic exploration, and persistent memory states to allow models to ingest, structure, and deeply understand complex domains prior to user interactions.

By combining automated domain pre-computation with expert human calibration in Agera Studio, we aim to produce specialized Expert Models that significantly outperform foundational models on intricate, multi-turn tasks.

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: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

• Partnerwith product and research teams across Google Deepmind (GDM) and Google to invent 0-to-1 features and products powered by Agera, identifying where Agera creates real leverage and aligning teams around a shared goal.
• Developacross the full AI systems stack (e.g., agent harnesses and isolated subagent swarms, inspectable semi-structured state, vectorized tool execution, custom retrieval indices and universal reranking, large-scale evals, human-in-the-loop Studio UIs, and fine-tuning/expertise distillation into weights and skills).
• Balance rapid, exploratory prototyping with the discipline to write clean, scalable code.
• Lead complex engagements end-to-end, bridging different team roadmaps and constraints, setting technical direction, and driving convergence through working prototypes.

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.