Engineering Manager, Machine Learning (Safety)
- Location
- San Francisco Bay Area (or Remote U.S.)
- Salary range
- USD $272,000 – $340,000 base
- Workplace
- Remote
- Level
- Manager
- Job family
- Engineering
- Posted
- 7 weeks ago
The T&S Network estimates this role to be M3, Manager. The typical base salary for that level in Safety Engineering & Data Science is $130k to $190k at an employer this size. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.
Why this level
Estimated from the posting rather than stated by the employer: the posting states the level in its title · the title reads as M3 · asks for 5+ years · posts $272k to $340k base at a company of 500 to 5,000.
The role, in T&S terms
Written by the T&S Network from Discord's posting.
Manages the machine learning team that builds the detection models protecting Discord's 200M+ users from harm, covering real-time and batch models for content understanding, account integrity and platform abuse. The team sits in Trust & Safety and aims to stop harm at a scale manual review cannot cover, with models that make millions of enforcement decisions per day.
What you'd do
- Hire, coach and grow a team of ML engineers, setting expectations for ownership and impact.
- Set the technical vision and roadmap for Safety ML with Trust & Safety, Product, Policy, Legal and Data Science.
- Own production safety models end to end, from defining new capabilities to measuring performance.
- Monitor the operational health of systems making millions of enforcement decisions daily.
- Work with Trust & Safety to improve labels, build golden test sets and automate hand-done investigations.
- Work with other engineering managers to improve the engineering organization.
What it asks for
- 5+ years as a Machine Learning Engineer, Data Scientist or Applied Scientist.
- 3+ years as an Engineering Manager, leading a team of 5+ engineers.
- Practical depth in at least one of abuse or fraud detection, content classification, behavioral or graph modeling, or LLM classifiers.
- Proven record shipping ML systems to production at scale.
- Strong cross-functional communication skills.
- Able to write code hands-on when needed.
- Keeps current with industry trends and new technologies (preferred).
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Discord before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Discord

The employer
About Discord
Social platforms · Gaming · San Francisco, CA · 501 to 1,000 people · Founded 2015
Voice, video and text chat platform organized around servers and communities.
Moderation, reported
Discord filed 529K moderation decisions for Discord Netherlands B.V. with the European Commission for May 2026.
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