Senior Software Engineer, Machine Learning, Payments

Google; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Google in Singapore is seeking a Senior Software Engineer specializing in Machine Learning for its Payments team. The role involves developing next-generation technologies and building ultra-reliable production services. Candidates should have substantial experience in software development and machine learning.

Minimum qualifications include a Bachelor's degree, with preferred qualifications being a Master's or PhD. Google's commitment to a diverse workforce and equal opportunity is reflected in its hiring process.

Qualifications

• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with ML infrastructure and model deployment.
• Experience in developing and maintaining machine learning models in production.

Responsibilities

• Build and maintain ultra-reliable live production services handling high-volume traffic.
• Develop effective machine learning models.
• Analyze data for statistical insights and generate ideas for improvement.

Skills

Software development experience

Machine learning infrastructure

Data pipeline building

Programming in Java, C/C++, Python, JavaScript, or Go

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Job description

Senior Software Engineer, Machine Learning, Payments

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C/C++, Python, JavaScript, or Go).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience building data pipelines for machine learning.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in developing and maintaining machine learning models in production.
• Experience in analyzing and improving efficiency, scalability, and stability of various systems.
• Experience with sandboxing solutions, ensuring the highest standards of security and privacy.

About the job

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.

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.

Responsibilities

• Build and maintain ultra-reliable live production services handling high-volume traffic, and massive batch pipelines seamlessly processing billions of records per day.
• Reduce infrastructure complexity, improve reliability, and ensure security and privacy compliance.
• Develop effective machine learning models.
• Work with product and marketing teams for experimentation and launch.
• Analyze data for statistical insights, design experiments and metrics, and generate ideas for improvement.

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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 or 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.

English proficiency is a requirement for all roles unless stated otherwise in the job posting.