Senior Software Engineer, Applied AI, Google DeepMind

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

A leading tech company in Singapore is seeking a Senior Applied AI Engineer to develop and deploy applications using generative AI models. This role involves rapid prototyping, collaboration with researchers, and a strong foundation in software engineering. The ideal candidate will have extensive experience in software development and machine learning infrastructure. Join a dynamic team to drive impactful solutions for top customers.

Qualifications

• 5 years of experience in software development.
• 3 years of experience launching software products.
• 3 years leading ML design and optimizing ML infrastructure.

Responsibilities

• Design and develop scalable software applications leveraging generative AI models.
• Rapidly prototype new features and iterate based on evaluation results.
• Collaborate with researchers to translate research advancements into product features.

Skills

Software development

Machine Learning design

Prototyping

Scaling software

Collaboration

Education

Bachelor's degree in computer science or equivalent

Tools

TensorFlow

PyTorch

Hugging Face

Python

Job description

Overview

We are seeking a Senior Applied AI Engineer to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, working across partner teams to deliver solutions, and maximize impact for Google & 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. The ideal candidate will be motivated by the opportunity to drive product & 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.

Responsibilities

• Design and develop scalable software applications leveraging generative AI models.
• Rapidly prototype new features and iterate based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Optimize software performance and ensure reliability of deployed applications.
• Contribute to the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.

Minimum qualifications

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 5 years of experience in software development, with 3 years of experience testing and launching software products, and experience with software design and architecture.
• 3 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in ML fields such as media generation or reinforcement learning.
• 3 years of experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc along with proficiency in Python.

Preferred qualifications

• Experience with generative AI models and applications.
• Experience with front end development.
• Experience scaling products from initial concept to production.
• Experience delivering software solutions in a fast-paced, customer-facing environment and demonstrated ability to adapt to changing priorities.
• Proven experience in rapidly developing and shipping software products.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).