Discord
Senior Software Engineer, Machine Learning (Safety)
Discord, San Francisco, California, United States, 94199
Discord is about giving people the power to create space to find belonging in their lives. We want to make it easier for you to talk regularly with the people you care about. We want you to build genuine relationships with your friends and communities close to home or around the world. Original, reliable, playful, and relatable. These are the values that connect our users and our employees at Discord.Our mission is to build a platform that enables communities to flourish and where all members can safely find belonging. Machine learning is essential in building and maintaining this safe environment.Our Safety Machine Learning team deploys state-of-the-art detection systems to mitigate harmful behavior, illegal content, spam, and other adversarial abuse. We take ownership of the solutions we build from concept to deployment, working closely with product, engineering, and data science teams to drive large-scale impact. Our ML and safety systems continuously evolve to ensure our products are safe by default.We’re seeking a technical, mission-driven Senior Machine Learning Engineer to design and implement end-to-end ML solutions that make Discord safer. If this excites you, keep reading!What You'll Be Doing
Build and deploy ML systems to detect and prevent abuse, spam, and other malicious activitiesDevelop reusable ML features by leveraging user behavior modeling, language processing, and social graph analysisDesign, implement, and evaluate experiments to assess the impact of updated ML modelsBuild scalable ML infrastructure, ensuring engineering excellence and long-term system reliabilityCollaborate closely with product management, engineering, and data science teams to identify high-impact opportunities and execute them effectivelyWhat You Should Have
You have 4+ years of experience as a Machine Learning Engineer or Data ScientistYou have deployed low-latency machine learning systems at scale, driving the process from ideation through to production implementationYou are proficient in Python and have a deep understanding of software engineering principles for data-intensive applicationsYou have managed the end-to-end data lifecycle for ML products, with expertise in handling complex feedback loops and ensuring offline/online data consistencyYou have experience with a variety of machine learning tools and libraries, including PyTorch, Transformers, XGBoost, and scikit-learnYou stay ahead of industry trends, continuously exploring and implementing cutting-edge techniques to tackle evolving ML challengesYou are passionate about solving complex data problems, anticipating adversarial tactics, and collaborating with domain experts to craft innovative ML solutionsBonus Points
You have mentored other engineers and led project execution as a tech leadYou have experience building ML systems with streaming data using technologies like Flink, Beam, PubSub, or KafkaYou have experience working with and developing machine learning models for large-scale social platform datasetsThe US base salary range for this full-time position is $202,000 to $220,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?
Discord is great for playing games and chilling with friends, or even building a worldwide community. We are working toward forming true connections around play and shared experiences, where genuine human connection is a click, text chat, or voice call away. A place where everyone can build genuine friendships.Your future is just a click away!Check out our inclusion, diversity and purpose efforts, company principles, or learn more about the Life @ Discord experience!
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Build and deploy ML systems to detect and prevent abuse, spam, and other malicious activitiesDevelop reusable ML features by leveraging user behavior modeling, language processing, and social graph analysisDesign, implement, and evaluate experiments to assess the impact of updated ML modelsBuild scalable ML infrastructure, ensuring engineering excellence and long-term system reliabilityCollaborate closely with product management, engineering, and data science teams to identify high-impact opportunities and execute them effectivelyWhat You Should Have
You have 4+ years of experience as a Machine Learning Engineer or Data ScientistYou have deployed low-latency machine learning systems at scale, driving the process from ideation through to production implementationYou are proficient in Python and have a deep understanding of software engineering principles for data-intensive applicationsYou have managed the end-to-end data lifecycle for ML products, with expertise in handling complex feedback loops and ensuring offline/online data consistencyYou have experience with a variety of machine learning tools and libraries, including PyTorch, Transformers, XGBoost, and scikit-learnYou stay ahead of industry trends, continuously exploring and implementing cutting-edge techniques to tackle evolving ML challengesYou are passionate about solving complex data problems, anticipating adversarial tactics, and collaborating with domain experts to craft innovative ML solutionsBonus Points
You have mentored other engineers and led project execution as a tech leadYou have experience building ML systems with streaming data using technologies like Flink, Beam, PubSub, or KafkaYou have experience working with and developing machine learning models for large-scale social platform datasetsThe US base salary range for this full-time position is $202,000 to $220,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?
Discord is great for playing games and chilling with friends, or even building a worldwide community. We are working toward forming true connections around play and shared experiences, where genuine human connection is a click, text chat, or voice call away. A place where everyone can build genuine friendships.Your future is just a click away!Check out our inclusion, diversity and purpose efforts, company principles, or learn more about the Life @ Discord experience!
#J-18808-Ljbffr