Job Description
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.
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.
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 safe
• Evaluate 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 AI
• Collaborate with model builders to ensure we have a smooth path from idea to production
• Set best practices in machine learning at Discord
• Create foundational datasets and models
What you should have
• 4+ years of experience working as a software engineer in data or backend with exposure to large datasets or distributed systems
• 2+ years working on platforms or infrastructure
• 1+ years working on machine learning platforms
• You've put machine learning models into production
Bonus Points
• Experience with real-time data processing (Spark, Flink, Dataflow, Kafka, Pulsar, etc.)
• Experience debugging and maintaining live production systems on Kubernetes
The 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
Last updated : 2026-0+-05
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.
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.
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 safe
• Evaluate 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 AI
• Collaborate with model builders to ensure we have a smooth path from idea to production
• Set best practices in machine learning at Discord
• Create foundational datasets and models
What you should have
• 4+ years of experience working as a software engineer in data or backend with exposure to large datasets or distributed systems
• 2+ years working on platforms or infrastructure
• 1+ years working on machine learning platforms
• You've put machine learning models into production
Bonus Points
• Experience with real-time data processing (Spark, Flink, Dataflow, Kafka, Pulsar, etc.)
• Experience debugging and maintaining live production systems on Kubernetes
The 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
Last updated : 2026-0+-05
💡 Quick Summary
Seeking a career-building opportunity? The Software engineer machine position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in San Francisco offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
