Engineering Manager, Safety ML — Lead Production ML Systems

EngineersOfAI; San Francisco, Northern (CA, KY); Hybrid; USD 272,000 - 306,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Discord is seeking an Engineering Manager for Safety ML in the United States to lead a high-impact ML engineering team responsible for detection systems across content understanding, account integrity, and platform abuse. You will own production models, define capabilities, measure performance, and ensure healthy operations at scale.

The role requires deep ML expertise, 3+ years in management, and a track record of shipping ML systems.

Qualifications

• 5+ years as ML Engineer, Data Scientist, or Applied Scientist.
• 3+ years as Engineering Manager leading 5+ engineers.
• Hands-on depth in abuse/fraud detection, content classification, behavioral modeling, graph-based modeling, or LLM-based classification systems.
• Strong communication skills and the ability to work cross-functionally.
• Proven record of shipping ML systems to production at scale.
• Passion for coaching and leading other engineers.

Responsibilities

• Build and lead an exceptional team of ML engineers by hiring, coaching, and instilling ownership and impact.
• Drive the technical vision and roadmap for Safety ML with partners across Trust & Safety, Product, Policy, Legal, and Data Science.
• Own end-to-end lifecycle of production safety models: capabilities, performance, and operational health.
• Manage processes and raise the bar to deliver extraordinary results.
• Partner with Trust & Safety on label quality, golden sets, and automating investigations.
• Collaborate with other Engineering Managers to improve the Engineering organization and workplace philosophy.

Skills

ML Engineering

Engineering management

Cross-functional communication

Problem solving

First principles thinking

Production ML systems

Mentoring/Coaching

Job description

Discord is seeking an Engineering Manager for Safety ML in the United States to lead a high-impact ML engineering team responsible for detection systems across content understanding, account integrity, and platform abuse. You will own production models, define capabilities, measure performance, and ensure healthy operations at scale.

The role requires deep ML expertise, 3+ years in management, and a track record of shipping ML systems.