ML Wallet Engineer — Multimodal AI

United States Digital Space LLC; Singapore; On-site; SGD 60,000 - 130,000; Full time

Job summary

United States Digital Space LLC is seeking a software engineer to help develop ML-driven features and data pipelines for Wallet data extraction from various sources. You will work on server-side infrastructure and collaborate with other teams to improve model performance and latency.

The role emphasizes handling data at scale, participating in code reviews, and contributing to on-device and server-side improvements while supporting the Wallet product's growth and accessibility.

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.

Responsibilities

• Develop, test, and maintain ML-driven features and data pipelines for parsing and importing pass data from unstructured sources into Wallet.
• Design, implement, and evaluate ML models and server-side infrastructure for extracting Wallet data from various formats (PDFs, images, multimodal inputs).
• Participate actively in code reviews and incorporate feedback to maintain code quality.
• Collaborate with engineers and cross-functional teams to push model performance, accuracy, and latency.

Skills

Python

C

C++

Java

JavaScript

Data structures

Algorithms

Education

Bachelor’s degree or equivalent

Job description

United States Digital Space LLC is seeking a software engineer to help develop ML-driven features and data pipelines for Wallet data extraction from various sources. You will work on server-side infrastructure and collaborate with other teams to improve model performance and latency.

The role emphasizes handling data at scale, participating in code reviews, and contributing to on-device and server-side improvements while supporting the Wallet product's growth and accessibility.