Senior Software Engineer, Machine Learning, Payments

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

United States Digital Space LLC in Singapore is seeking software engineers to develop the next generation of ML-powered payment and data infrastructure at scale. You will work on end-to-end ML systems, from data pipelines to model deployment, across a fast-growing product suite.

We value versatility, proactive problem solving, and the ability to operate across the full stack, with emphasis on security and privacy.

Qualifications

• 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.

Responsibilities

• Develop effective machine learning models and optimization solutions for identifying the best credit products for the company Pay users.
• Reduce infrastructure complexity, improve reliability, and ensure security and privacy compliance.
• Design and build infrastructure for training and serving ML models in a secure and privacy-compliant manner.
• Analyze data for statistical insights, design experiments and metrics, and generate ideas for improvement.

Skills

Java

C/C++

Python

JavaScript

Go

Education

Bachelor’s degree or equivalent practical experience

Job description

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

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

the company'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 the company’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 the company Pay app, the Payments team at the company is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between the company and its consumers and businesses.

Responsibilities

• Develop effective machine learning models and optimization solutions for identifying the best credit products for the company Pay users.


• Reduce infrastructure complexity, improve reliability, and ensure security and privacy compliance.


• Design and build infrastructure for training and serving ML models in a secure and privacy-compliant manner.


• Analyze data for statistical insights, design experiments and metrics, and generate ideas for improvement.

the company 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 the company'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.