Research Engineer, Frontier AI, Incubation, DeepMind

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

Job summary

Google is seeking research-focused Software Engineers embedded across the company to design, test, and deploy large-scale AI and ML solutions. You will work on foundational algorithms, experimental prototypes, and production-ready architectures with broad impact across products and collaboration with research programs worldwide.

Responsibilities include leading end-to-end development, partnering with engineering and product teams, and advancing safety and ethics while publishing findings with

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, a related technical field, or equivalent practical experience.
• Experience programming in Python or C++.
• Experience with machine learning, algorithm design, data structures, and distributed software systems.
• Experience taking technical projects or machine learning systems from conceptual formulation to implementation and deployment.

Responsibilities

• Design, train, and optimize foundational algorithms and machine learning systems (e.g., personalized model adaptation, agentic workflows, contextual memory architectures, dynamic prompt optimization, and multimodal reasoning).
• Lead end-to-end technical development from algorithmic design and experimental prototyping to production-grade architecture and scaled serving infrastructure.
• Partner directly with engineering and product teams to integrate and harden core technologies within production environments (e.g., Project Helix, agent workspaces, and intelligent system integrations).
• Formulate novel automated and human-in-the-loop evaluation methodologies to measure capability gains, latency/compute efficiency, alignment, and personalization fidelity.

Skills

Python

C++

Machine learning

Algorithms

Data structures

Distributed systems

Deployment

Education

Bachelor's degree in Computer Science or related field

Job description

Minimum qualifications:

Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, a related technical field, or equivalent practical experience.

• Experience programming in Python or C++.
• Experience with machine learning, algorithm design, data structures, and distributed software systems.
• Experience taking technical projects or machine learning systems from conceptual formulation to implementation and deployment.

Preferred qualifications:

• Experience developing, fine-tuning, or optimizing foundation models including techniques such as RLHF/RLAIF, supervised fine-tuning, parameter-efficient tuning, or inference optimization.
• Experience with personalization, adaptive systems, user modeling, retrieval-augmented generation, or agentic memory architectures.
• Experience with modern machine learning frameworks and model training or serving infrastructure.
• Experience collaborating across research and product boundaries to co-design technical architectures.

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

Learn more about benefits at Google.

Responsibilities

• Design, train, and optimize foundational algorithms and machine learning systems (e.g., personalized model adaptation, agentic workflows, contextual memory architectures, dynamic prompt optimization, and multimodal reasoning).
• Lead end-to-end technical development from algorithmic design and experimental prototyping to production-grade architecture and scaled serving infrastructure.
• Partner directly with engineering and product teams to integrate and harden core technologies within production environments (e.g., Project Helix, agent workspaces, and intelligent system integrations).
• Formulate novel automated and human-in-the-loop evaluation methodologies to measure capability gains, latency/compute efficiency, alignment, and personalization fidelity.

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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.

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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.

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