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 (safety & integrity)
Builds
Scalable backend systems, integrity detection/prevention solutions, and ML models for content classification, anomaly detection, and risk scoring
Domain
Generative AI safety, Trust & Safety, Distributed Systems
Deliverable
production ML models | product features
Required skills
Backend systems architecture, distributed systems design, machine learning model development, content classification, anomaly detection, risk scoring, Python/Go/Java/C++, ML lifecycle management, technical leadership
Preferred skills
Trust & Safety domain expertise, open-source contributions, leading large cross-cutting technical projects
Technologies
Python, Go, Java, C++, ML frameworks, distributed systems tools
Responsibilities
Architect and build scalable backend systems for integrity features; lead technical design for detecting and mitigating integrity risks; develop and deploy ML models for content filtering and bias mitigation; collaborate with cross-functional teams on safety requirements; drive technical strategy for backend integrity systems; mentor engineers on best practices; optimize system performance and cost-effectiveness
Seniority
Senior, hands-on IC with leadership responsibilities
