Software Engineer, Machine Learning, Payments

United States Digital Space LLC; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

United States Digital Space LLC in Singapore is seeking software engineers to help build next-generation technologies at scale. You will work on projects across information retrieval, distributed computing, and AI, with opportunities to switch teams as the company grows.

The Payments team focuses on secure, seamless digital payments and money movement. The role requires building production ML models and infrastructure, with an emphasis on reliability, performance, and collaboration with product

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Go, Python, C, C++, Java, JavaScript), or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, and debugging).
• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in developing and maintaining machine learning models in production
• Knowledge of machine learning techniques and applications
• Experience in analyzing and improving efficiency, scalability, and stability of various systems

Responsibilities

• Analyze data for statistical insights.
• Develop accurate and fair machine learning models.
• Design experiments and implement new features and metrics.
• Work with product and marketing teams for experimentation and launch.
• Build and maintain production infrastructure, ensuring critical services and data are available and reliable.

Skills

Software development

ML infrastructure

Education

Bachelor's degree

Master's/PhD preferred

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.
• 2 years of experience with software development in one or more programming languages (e.g., Go, Python, C, C++, Java, JavaScript), or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, and debugging).

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
• Knowledge of machine learning techniques and applications
• Experience in analyzing and improving efficiency, scalability, and stability of various systems

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

• Analyze data for statistical insights.
• Develop accurate and fair machine learning models.
• Design experiments and implement new features and metrics.
• Work with product and marketing teams for experimentation and launch.
• Build and maintain production infrastructure, ensuring critical services and data are available and reliable.

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.