Senior Software Engineer, Machine Learning Platform

The Machine Learning Platform team is the foundation that Machine Learning and Data Science at Discord rely on to help our users find belonging in a safe and welcoming space. Our aim is to create the best experience throughout the machine learning workflow, from training to serving. We supplement our platform with core and widely applicable datasets, models and services.

You will build the Machine Learning platform at Discord, working with everything from feature stores, real-time data processing, to model serving at scale. We are looking for somebody with experience building platforms for other engineers. You should have experience with the Machine Learning workflow and a curiosity in how Machine Learning can help make a better, safer Discord. You will report to the Engineering Manager of the ML Platform team.

What you'll do

• Design and build the platform engineers and data scientists throughout Discord uses for the full machine learning workflow.
• Evaluate and integrate new machine learning frameworks and tools to ensure that Discord keeps up with fast moving world of ML including LLMs and generative AI tooling
• Collaborate with model builders and gain a strong understanding of how to take a project from idea to production
• Help set and drive best practices in machine learning at Discord
• Create foundational datasets and models

Who are you

• 5+ years of experience working as a software engineer in data or backend with exposure to large datasets or highly distributed systems
• 2+ years working on platforms or infrastructure
• 2+ years experience with the machine learning workflow
• You've had experience with orchestration systems (such as Airflow, Dagster, or Argo)

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 in TensorFlow or PyTorch

The US base salary range for this full-time position is $204,000 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.

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