Senior Machine Learning Software Engineer, Discord

• 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, not just improve existing ones
• Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact
• Strong cross-functional instincts — you're comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution

Desirable

• 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, which connects players to in-game items from major publishers like Marvel Rivals, Fortnite, Valorant, and more
• 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 across both first-party and third-party storefronts
• This is a high-impact, high-leverage role. Discord's social platform gives us a fundamentally differentiated commerce advantage — deep social graphs, fan communities, and native gaming context — and you will be the person who turns that into ML-powered products that drive meaningful GMV growth
• Architect and own the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more)
• 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 — new buyer discounts, drop campaigns, weekly deals, and seasonal promotions — 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 that differentiate Discord from traditional game storefronts
• 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, surface integration points, and influence the commerce roadmap