Staff Research Engineer, Applied AI, DeepMind

Google LLC; Singapore; On-site; SGD 180,000 - 320,000; Full time

Job summary

Google DeepMind is seeking a Staff Research Engineer to lead development and deployment of innovative generative AI applications. You will rapidly build features and collaborate with partner teams to deliver high-impact solutions, translating AI research into real-world products.

The role emphasizes a strong software foundation, ownership in early-stage environments, and the ability to ship high-quality code across fast-paced contexts.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, related field, or equivalent practical experience.
• 8+ years in software development with one or more languages (e.g., Python) and data structures/algorithms.
• 5+ years in ML design and optimizing ML infrastructure (deployment, evaluation, data processing, debugging, fine-tuning) with experience in media generation or reinforcement learning.
• 5+ years testing and launching software products; 3+ years in software design/architecture.

Responsibilities

• Partner across internal and external teams to understand real-world AI challenges and define product objectives and technical designs.
• Curate specialized datasets, design evaluations across industry verticals, and fine-tune models for real-world performance.
• Lead engineering and development of novel solutions from 0 to 1 using internal platforms to build agents and workflows powered by foundation models.
• Share real-world evaluation learnings, edge cases, and deployment signals with core research teams to inform frontier model development.
• Act as technical lead for genAI deployment, setting best practices and demonstrating capabilities of frontier models end-to-end.

Skills

ML design

RL / media generation

Software testing

Software architecture

Shipping software

GenAI tooling

Front-end development

GCP

TensorFlow / PyTorch

Open-source contributions

Education

Bachelor's degree in CS/EE or equivalent

Tools

Python

Job description

Staff Research Engineer, Applied AI, DeepMind

Share Staff Research Engineer, Applied AI, DeepMind

info_outline X Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.
• 8 years of experience in software development with one or more programming languages (e.g., Python), and with data structures or algorithms.
• 5 years of experience in ML design and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), and experience in media generation or reinforcement learning.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

• Experience with generative AI models and applications.
• Experience with front end development.
• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
• Contributions to open-source projects.

About the job

We are seeking a Research Engineer to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production. You will be motivated by the opportunity to drive product and business impact.

This role requires a strong software engineering foundation and a passion for building and iterating on software products, using state-of-the-art GenAI tools. We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code. Experience in prototyping, building, and scaling software is essential. We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.

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.

Responsibilities

• Partner closely with external parties and internal cross-functional teams to navigate ambiguity, deeply understand real-world challenges, and define clear product objectives and technical designs.
• Drive the curation of specialized datasets, design rigorous evaluations across various industry verticals, and execute model fine-tuning to achieve optimal real-world performance.
• Lead the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build sophisticated agents and workflows powered by GDM foundation models.
• Synthesize and upstream learnings from third-party partners to the core research teams by sharing real-world evaluations, edge cases, and deployment signals which can inform the development of future frontier models.
• Act as a technical lead in the applied AI space, setting best practices for genAI deployment and demonstrating the peak capabilities of frontier models in solving high-impact problems end-to-end.

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.