Staff Machine Learning Engineer, Developer Platform

Sequoia Capital Global Equities is associated with Reddit, a platform for community engagement and information sharing. They are seeking a Staff Machine Learning Engineer to develop ranking and personalization systems that enhance user engagement with apps and games on Reddit, collaborating with cross-functional teams to define and implement innovative solutions.

Responsibilities:

• Design and ship the next generation ranking and ML backend systems that power discovery of Dev Platform apps and games across Reddit surfaces
• Partner with ML, DS, and product to define signals, APIs, and feedback loops for training, deploying, and iterating on ranking models
• Explore and productionize new retrieval, ranking, and experimentation approaches that unlock new Dev Platform experiences
• Champion reliability, observability, and experimentation best practices for ranking systems
• Write efficient, scalable code in our Go / Python / Baseplate / GraphQL stack
• Mentor engineers and lead technical discussions, shaping the long-term ranking and personalization strategy for Dev Platform

Requirements:

• 8+ years of experience as a software engineer building large-scale distributed systems and/or data-intensive, ML-driven systems, using Go, Python, C++, or another object-oriented language
• Proven track record working on cross-functional product teams (PM, Design, DS, Eng) where you owned end-user outcomes, not just models or infra, and shipped features that moved core product metrics
• Experience designing and improving ML tooling and platforms: deployment and rollout, automation, experiment frameworks, system diagnosis, reproducibility, and ML monitoring/alerting
• Experience designing and implementing performant, stable, and efficient ML or ranking systems (recommendation, ads, search, feed, or similar high-throughput decision systems)
• Strong organizational skills with the ability to prioritize, sequence, and de-risk work, keeping complex projects on schedule with a high attention to detail
• BS in Computer Science or a related technical field, or equivalent practical experience
• Comfortable with software engineering best practices: testing, code reviews, technical design docs, and clear documentation for other teams that depend on your systems
• Entrepreneurial mindset: you are self-directed, comfortable in ambiguity, and biased toward action in fast-paced environments. You like 0→1 building, iteration, and learning from experiments and failures
• Excellent communication skills: you collaborate effectively in a remote, cross-functional team, and can explain complex ML and ranking concepts to both technical and non-technical stakeholders