We are looking for a Staff Machine Learning Engineer, Developer Platform to build the ranking and personalization systems that connect redditors with their next favorite game or app on Reddit. You will work closely with Product, Backend, Data Science, and Core Ranking/ML Platform teams to design and ship best-in-class ranking, retrieval, and experimentation systems that power discovery and re-engagement for Dev Platform experiences across feeds, surfaces, and notifications.
\nAs a Staff Machine Learning Engineer, you will own problems end-to-end from framing objectives and defining signals, to training and deploying models, to designing experiments and reading results,not just tuning existing knobs on mature systems. You’ll help define the ranking strategy for Developer Platform, stand up new ML models and feedback loops where none exist today, and turn noisy behavioral data into clear wins for users, creators, and developers.
\nThis is a high-impact, 0→1 role where your work will directly shape how interactive apps and games show up on one of the largest sites in the world. You’ll set technical direction for Dev Platform ranking, raise the bar on relevance and system reliability, and mentor other engineers as we scale a team of builders who value impact, personal growth, openness, and kindness.
\nLanguages: Go, Python, C++ or any object-oriented programming language Libraries: Baseplate, GraphQL Databases: Redis, Postgres, Memcached Tools: Kubernetes, AWS
\nRequirements:
\nBenefits:
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\nAs a software engineer on this team, you will have the opportunity to work on projects such as catalog system scaling, catalog management, and product enhancement. You will develop, maintain, and scale our product catalogs backend, contribute to the development of features to make our product easier to use, and produce robust and sustainable code.
\nTo be successful in this role, you will need a bachelor's degree or equivalent experience in a quantitative or computer science-related field, 4+ years of full-time backend software engineering experience in a scalable computing environment, and strong communication and collaboration skills.
\nWe offer a dynamic work environment, opportunities for professional growth and development, a competitive salary and benefits package, and flexible work arrangements.
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