Senior Software Engineer, Machine Learning (Commerce) at Discord

Discord

San Francisco Bay Area·8h ago

SeniorFull-timePythonMachine LearningData SciencePyTorchML

Salary Range

$132,600 - $179,400 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Senior Machine Learning Engineer to join our Revenue ML team at Discord. This role sits at the intersection of Discord's two most strategic revenue pillars — our growing 1P Shop and our newly launched Game Commerce platform. You'll be the founding ML voice for commerce discovery and personalization, building systems from the ground up that power recommendations, social commerce mechanics, and marketing targeting.

Key Responsibilities

→Architect and own the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces.
→Design and deploy scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories.
→Build ML-powered marketing targeting systems that identify the right users for the right campaigns, driving conversion without conditioning users to wait for discounts.
→Leverage Discord's unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations.
→Drive deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions.
→Partner closely with Shop, Game Commerce, Revenue Infra, ML Infra and Data Engineering teams to define ML requirements and influence the commerce roadmap.

Requirements

✓4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end.
✓Deep expertise in applied deep learning — particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation.
✓Strong proficiency in Python and deep learning frameworks (PyTorch preferred).
✓Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks.
✓Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up.
✓Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact.
✓Strong cross-functional instincts — comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution.