Applied AI Research Engineer: Build & Deploy GenAI

Google Inc.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Google DeepMind in Singapore seeks a Research Engineer to lead development and deployment of novel applications, leveraging Google's generative AI models. You will translate cutting-edge AI research into real-world products, shipping features and driving impact for Google customers.

You will build and scale software in early-stage environments, own end-to-end delivery, and work across partner teams to deliver robust agents and workflows powered by GDM foundation models.

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.

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.

Skills

Python

Data structures

Algorithms

ML design

Model deployment

Reinforcement learning

Education

Bachelor's degree in CS or related field

Tools

TensorFlow

PyTorch

Hugging Face

Google Cloud Platform

Job description

Google DeepMind in Singapore seeks a Research Engineer to lead development and deployment of novel applications, leveraging Google's generative AI models. You will translate cutting-edge AI research into real-world products, shipping features and driving impact for Google customers.

You will build and scale software in early-stage environments, own end-to-end delivery, and work across partner teams to deliver robust agents and workflows powered by GDM foundation models.