Remote Trust & Safety Software Engineer (LLM/AI Security)

United States Digital Space LLC; United States; Hybrid; USD 196,000 - 294,000; Full time

Benefits offered by this job

Equity

Healthcare

Mentorship & events

Flexible time off

WFH equipment budget

Job summary

United States Digital Space LLC is seeking a Software Engineer for Trust & Safety to build and operate defenses protecting developers and projects at internet scale. You’ll analyze threat actor behavior, develop LLM-driven detection, and deploy scalable mitigations in collaboration with product, security, and infrastructure teams.

The role offers a mix of hands-on development, research, and production work, with in-office anchor days in SF on Monday, Tuesday, and Friday, and a fully remote

Qualifications

• 5+ years of experience in abuse prevention, trust & safety, or security engineering.
• Strong programming skills in JavaScript/TypeScript and Python.
• Hands-on experience working with LLMs, including prompt engineering, evaluation, and fine-tuning.
• Solid understanding of cloud infrastructure, including AWS.
• Strong understanding of real-world threat actor behavior and abuse tactics.

Responsibilities

• Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets to inform detection logic, policy decisions, and scalable mitigations.
• Research, prototype, and implement state-of-the-art LLM-driven techniques for abuse detection, classification, and prevention.
• Design and develop production-ready systems that detect and disrupt abusive behavior across the company platform.
• Build, maintain, and fine-tune internal tools, datasets, and evaluation pipelines for trust and safety workflows.
• Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems.

Skills

JavaScript/TypeScript

Python

LLMs

AWS

Threat analysis

Job description

United States Digital Space LLC is seeking a Software Engineer for Trust & Safety to build and operate defenses protecting developers and projects at internet scale. You’ll analyze threat actor behavior, develop LLM-driven detection, and deploy scalable mitigations in collaboration with product, security, and infrastructure teams.

The role offers a mix of hands-on development, research, and production work, with in-office anchor days in SF on Monday, Tuesday, and Friday, and a fully remote