AI Safety & ML Systems Engineer

United States Digital Space LLC; Singapore; On-site; SGD 80,000 - 160,000; Full time

Job summary

United States Digital Space LLC in Singapore is hiring a software engineer to advance scalable content safety systems for large-scale AI workloads. You will join the Core team that builds foundational platforms, safety standards, and reliable deployments for server and on-device environments.

Minimum qualifications include a BS or equivalent, 2 years of software development or 1 year with an advanced degree, and 1 year in ML infrastructure or related AI fields (speech/audio or RL).

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• 1 year of ML infrastructure experience (deployment, evaluation, data processing).
• 1 year in ML areas: speech/audio, reinforcement learning, or related field.

Responsibilities

• Build high-quality systems that deliver effective content safety solutions.
• Own design and implementation of robust, modular software components.
• Implement and maintain stateless and stateful agentic flows for AI orchestration.
• Develop and test validation gates and tool-use schemas for deterministic execution.
• Build and deploy production-grade content safety solutions across server and device environments.

Skills

Software dev

ML infra

Speech/Audio

Reinforcement learning

ML field

Education

Bachelor's degree or equivalent

Tools

APIs

SDKs

Job description

United States Digital Space LLC in Singapore is hiring a software engineer to advance scalable content safety systems for large-scale AI workloads. You will join the Core team that builds foundational platforms, safety standards, and reliable deployments for server and on-device environments.

Minimum qualifications include a BS or equivalent, 2 years of software development or 1 year with an advanced degree, and 1 year in ML infrastructure or related AI fields (speech/audio or RL).