Staff Research Engineer, Applied AI, DeepMind

Google DeepMind; Singapore; On-site; SGD 110,000 - 170,000; Full time

Benefits offered by this job

Learning opportunities

Global teams

Job summary

Google DeepMind in Singapore seeks a Research Engineer to lead development and deployment of novel applications using Google GenAI models. You will rapidly build features, collaborate with partner teams, and translate cutting‑edge AI research into real‑world products that scale for premier customers.

The role requires a strong software engineering foundation, experience shipping production code, and a track record in early‑stage or startup environments where ownership and rapid iteration drive

Qualifications

• Bachelor's degree or equivalent practical experience in CS/EE or related field.
• 8 years of software development with one or more languages (e.g., Python).
• 5 years of ML design and deployment experience, incl. evaluation and fine‑tuning, plus RL experience.
• 3 years in software architecture and launching products.

Responsibilities

• Collaborate with cross-functional teams to define product objectives and designs.
• Curate datasets and design evaluations across various industry verticals.
• Lead development of novel solutions from 0 to 1 using internal platforms and foundation models.
• Share real‑world evaluations and deployment signals with core research teams.
• Act as technical lead for genAI deployment and end‑to‑end problem solving.

Skills

Software development

ML design

Model deployment

Python

Reinforcement learning

Testing & launching

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Hugging Face

Google Cloud Platform

Job description

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

Minimum qualifications

• 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 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 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.