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Staff Software Engineer, ML Platform
3 months ago
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, and model serving at scale. You will lead projects and work directly with ML practitioners as well as other staff+ engineers to shape the landscape of Discords 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
- 8+ years of experience working as a software engineer in data or backend with exposure to large datasets or distributed systems
- 4+ years working on platforms or infrastructure
- 2+ years working on machine learning platforms
- Know-how with orchestration systems (such as Airflow, Dagster, or Argo).
- 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
- Experience building ML models using modern frameworks
#LI-Remote
The US base salary range for this full-time position is $246,000 to $270,400 + 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.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and use of personal information relating to the application and recruitment process by clicking here.
Discord is an equal opportunity employer that believes diversity inspires creativity and innovation. We are committed to fostering an inclusive environment where employees can do their best work free of harassment or discrimination, regardless of race, ethnicity, religion, gender identity or expression, sexual orientation, age, disability, military status, or any other protected characteristics or identities. We encourage all candidates to apply for roles where they may make the most impact.
About Us
Discord is a voice, video and text app that helps friends come together to hang out, have fun, and play games. With over 150 million monthly users, Discord has grown to become one of the most popular communications services in the world. Discord offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We're working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It's a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us
