Software Engineer, Backend/Applied ML (Safety & Integrity)
Core
Design, develop, and scale robust backend systems and applied machine learning solutions to address integrity, safety, and trust challenges in human-to-AI interactions, specifically for Generative AI products.
Role type
Senior IC backend engineer with applied ML focus (Trust & Safety)
Builds
Scalable backend systems, integrity platforms, and ML models for content classification, anomaly detection, and risk scoring
Domain
Generative AI safety, Trust & Safety, Distributed Systems
Deliverable
production ML models
Required skills
Backend systems architecture, Distributed systems design, Machine learning lifecycle management, Content classification, Anomaly detection, Risk scoring, Generative AI safety, Python/Go/Java/C++, A/B testing
Preferred skills
Open-source contributions, Leading cross-cutting technical projects, Prior Trust & Safety team experience
Technologies
Python, Go, Java, C++, ML frameworks, Distributed systems tools
Responsibilities
Architect and maintain highly scalable backend systems for integrity features; Develop and deploy ML models for content filtering and bias mitigation; Collaborate with product, data science, and security teams; Drive technical roadmap for backend integrity systems; Mentor engineers on best practices; Optimize performance and cost-effectiveness of integrity platforms
Seniority
Senior, hands-on IC with leadership responsibilities
