Research Engineer, Frontier AI, Incubation, DeepMind

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

Benefits offered by this job

Bonus target 15%

Equity

Benefits

Job summary

Google DeepMind seeks a research-focused Software Engineer to design, train, and optimize foundational ML systems. You will lead end-to-end development from algorithmic design to production-grade serving and work closely with engineering and product teams to integrate core technologies.

This role involves experiment creation, architectural prototyping, and collaboration across research and product boundaries to advance AI research and scalable product innovations.

Qualifications

• Bachelor's degree 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 ML systems from concept to deployment.

Responsibilities

• Design, train, and optimize foundational algorithms and ML systems.
• Lead end-to-end technical development from design to production-grade architecture.
• Collaborate with engineering and product teams to integrate technologies into production environments.
• Develop evaluation methodologies to measure capability gains, latency, and personalization.

Skills

Python or C++

Machine learning

Algorithm design

Data structures

Distributed software systems

Technical project execution

Education

Bachelor's degree in Computer Science, ML, Mathematics, Statistics or related field

Job description

• 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.

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

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.

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 .