Engineering Manager, Machine Learning – Safety

🕒 September 22

🇺🇸 United States – Remote

💵 $272k - $340k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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👻 Ghost score 3%

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Discord

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💼 Consulting

🎮 Gaming

🌍 Social Impact

💰 $12G Venture Round on 2022-03

Consulting • Gaming • Social Impact

Discord is a communication platform designed for creating communities. Users can chat via text, voice, or video, and the platform is known for its emphasis on gaming. It provides customized experiences with features like custom emojis, stickers, and soundboard effects. Discord supports seamless streaming with high quality and low latency, making it ideal for gamers to hang out and play games together online. It is accessible across various devices including PC, phone, and console. Additionally, Discord places a high priority on safety and moderation, offering resources and guidelines for keeping communities safe and engaging. It is widely used for social interactions, gaming, and community building.

📋 Description

• Build and lead an exceptional team of ML engineers through hiring, coaching, and fostering ownership and impact • Drive the technical vision and roadmap for Safety ML in collaboration with Trust & Safety, Product, Policy, Legal, and Data Science • Own the end-to-end lifecycle of production safety models, including defining capabilities, measuring performance, and monitoring operational health • Manage processes and apply technical expertise to raise standards and ensure exceptional results • Partner with Trust & Safety on label quality, golden sets, and automating manual investigations • Collaborate with other Engineering Managers to improve the Engineering organization and uphold Discord’s workplace philosophy

🎯 Requirements

• 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist • 3+ years of experience as an Engineering Manager • Successfully managed a team of 5+ engineers • Hands-on depth in at least one of: abuse/fraud detection, content classification, behavioral modeling, graph-based modeling, or LLM-based classification systems • Strong communication skills and ability to work well cross-functionally • Ability to thrive in ambiguous environments and solve complex problems • First-principles thinking and ability to develop pragmatic solutions collaboratively • Proven record of shipping ML systems to production at scale • Passion for coaching and leading engineers while contributing hands-on to code • Keeps up with industry trends and identifies technologies to solve technical problems

🏖️ Benefits

• Equity • Benefits • Reasonable accommodations during the interview process

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