Discord
Senior Software Engineer, Machine Learning Platform
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.The Machine Learning Platform (MLP) at Discord is responsible for the end-to-end model lifecycle across all ML applications. We sit at the intersection of machine learning engineers (MLEs), core infrastructure, and ML consumers to provide tools, capabilities, and services that make machine learning easy, safe, and widely accessible. In this role, you will work on everything from feature stores, real-time data processing, LLM tooling, to model serving at scale. You will lead projects and work directly with ML practitioners as well as to shape the landscape of Discord's backend data systems. You will report to the Senior Engineering Manager of the ML Platform team.What You'll Be Doing
Design and build the platform ML engineers and data scientists use to understand and delight Discord's users and keep them safeEvaluate and integrate new machine learning frameworks and tools to ensure that Discord keeps up with the fast moving world of ML, including LLMs and generative AICollaborate with model builders to ensure we have a smooth path from idea to productionSet best practices in machine learning at DiscordCreate foundational datasets and modelsWhat you should have
4+ years of experience working as a software engineer in data or backend with exposure to large datasets or distributed systems2+ years working on platforms or infrastructure1+ years working on machine learning platformsYou've put machine learning models into productionBonus Points
Experience with real-time data processing (Spark, Flink, Dataflow, Kafka, Pulsar, etc.)Experience debugging and maintaining live production systems on KubernetesExperience building ML models using modern frameworksThe US base salary range for this full-time position is $202,000 to $222,000 + 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.
#J-18808-Ljbffr
Design and build the platform ML engineers and data scientists use to understand and delight Discord's users and keep them safeEvaluate and integrate new machine learning frameworks and tools to ensure that Discord keeps up with the fast moving world of ML, including LLMs and generative AICollaborate with model builders to ensure we have a smooth path from idea to productionSet best practices in machine learning at DiscordCreate foundational datasets and modelsWhat you should have
4+ years of experience working as a software engineer in data or backend with exposure to large datasets or distributed systems2+ years working on platforms or infrastructure1+ years working on machine learning platformsYou've put machine learning models into productionBonus Points
Experience with real-time data processing (Spark, Flink, Dataflow, Kafka, Pulsar, etc.)Experience debugging and maintaining live production systems on KubernetesExperience building ML models using modern frameworksThe US base salary range for this full-time position is $202,000 to $222,000 + 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.
#J-18808-Ljbffr