Software Engineer, Wallet Multimodal Intelligence - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

GOOGLE ASIA PACIFIC PTE. LTD. is seeking software engineers to work on next-generation technologies that touch billions of users, spanning information retrieval, distributed systems, and AI.

You will optimize user journeys, build ML-driven data pipelines for Google Wallet, collaborate across teams, and contribute to performance and latency improvements.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (Python, C, C++, Java, JavaScript).
• 2 years of experience with data structures and algorithms.

Responsibilities

• Develop, test, and maintain ML-driven features and data pipelines for parsing and importing pass data into Google Wallet.
• Design, implement, and evaluate machine learning models and server-side infrastructure for extracting Wallet data.
• Participate actively in code reviews and share knowledge to maintain code quality.
• Collaborate with engineers and cross-functional teams to improve model performance and latency.

Skills

Python

C

C++

Java

JavaScript

Data structures and algorithms

ML/AI evaluations

Back-end data processing

Accessible technologies

Compute infrastructure

Education

Bachelor’s degree or equivalent practical experience

Job description

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

In this role, you will optimize user journeys, improve model performance or latency and maximize sustainable user growth. Your work will contribute significantly to Google Wallet achieving one of its most critical missions: Wallet as an Account Primitive in Google, connecting Wallet to all first-party products effectively.

Job responsibilities

• Develop, test, and maintain ML-driven features and data pipelines for parsing and importing pass data from unstructured sources in Gmail, Photos, or Android into Google Wallet. This includes verticals such as receipts, flight reservations, loyalty cards, event tickets, offers, and hotel reservations.
• Design, implement, and evaluate machine learning models and server-side infrastructure for extracting Wallet data from various file formats (e.g., portable document format (PDFs), images, or other multimodal inputs).
• Participate actively in code reviews, providing and incorporating feedback to maintain code quality and share knowledge.
• Collaborate with engineers, and cross-functional intelligence teams (like Photos and Gmail) to push the boundaries of on-device and server-side model performance, accuracy, and latency.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 2 years of experience with data structures and algorithms.

Preferred qualifications

• Experience in Machine Learning and AI Evaluations.
• Experience in back-end systems and data processing.
• Experience developing accessible technologies.
• Experience in compute infrastructure .