Research Engineer, Frontier AI, Incubation, DeepMind

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

Benefits offered by this job

Equity

Benefits

Bonus

Job summary

Google DeepMind in Mountain View, CA, seeks a Share Research Engineer for Frontier AI Incubation to advance large-scale machine learning research and its deployment.

You will design and prototype foundational algorithms, collaborate with product teams, and contribute to scalable serving architectures while staying connected to research through partnerships and publications.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/ML/math/statistics.
• Experience programming in Python or C++.
• Experience with ML, algorithms, data structures, and distributed systems.
• Experience taking technical projects from concept to deployment.

Responsibilities

• Design, train, and optimize foundational ML algorithms and systems.
• Lead end-to-end technical development from prototyping to production-grade architecture.
• Collaborate with engineering and product teams to integrate core technologies in production.
• Develop evaluation methodologies to measure capability gains, latency/compute efficiency, alignment, and personalization.

Skills

Python/C++

ML & distributed systems

Project deployment

Education

Bachelor's degree in CS/ML/math/statistics

Job description

Share Research Engineer, Frontier AI, Incubation, DeepMind

DeepMind Mountain View, CA, USA

• 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 .

• 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.

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.