Safety ML Engineering Manager - Remote Impact Leader

Devconnectplatform; United States; Remoto; USD 272.000 - 340.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits

Descrizione del lavoro

Discord is seeking an Engineering Manager for the Safety ML team to lead a group of ML engineers focused on real-time and batch models for content understanding and platform safety. You will own the end-to-end lifecycle of production safety systems, guiding them from capability definition to performance measurement and operational health.

You will collaborate with Trust & Safety, Product, Policy, Legal, and Data Science to raise the bar, scale impact, and implement pragmatic solutions in a

Competenze

• 5+ years of experience as an ML engineer, data scientist, or applied scientist.
• 3+ years as an engineering manager leading 5+ engineers.
• Hands-on depth in abuse/fraud detection, content classification, behavioral modeling, graph-based modeling, or LLM-based classification.
• Strong cross-functional communication and production ML experience.

Mansioni

• Build and lead an exceptional ML engineering team and foster ownership.
• Drive the technical vision and roadmap for Safety ML across partners.
• Own end-to-end lifecycle of production safety models and monitor health.
• Improve the Engineering organization and mentor other engineers.
• Partner with Trust & Safety on label quality and automation of investigations.

Conoscenze

Team leadership

Cross-functional collaboration

Machine Learning

First principles thinking

Strumenti

Python

ML frameworks

Descrizione del lavoro

Discord is seeking an Engineering Manager for the Safety ML team to lead a group of ML engineers focused on real-time and batch models for content understanding and platform safety. You will own the end-to-end lifecycle of production safety systems, guiding them from capability definition to performance measurement and operational health.

You will collaborate with Trust & Safety, Product, Policy, Legal, and Data Science to raise the bar, scale impact, and implement pragmatic solutions in a