Reddit, Inc. is a community-driven platform that fosters open conversations and engagement among its users. The company is seeking a Staff Machine Learning Engineer for the Notifications Relevance team, responsible for developing algorithms that enhance user experience through personalized notifications. This role involves driving the strategy and architecture for large-scale recommendation systems while collaborating with cross-functional teams to solve complex challenges.
Responsibilities:
- Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience
- Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team
- Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process
- Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization
- Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges
Requirements:
- 8+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred
- Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance
- Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow
- Experience working with LLM in production and utilizing generative AI to augment recommendation systems
- Proficiency in object-oriented programming (Python, Golang)
- experience with state of the art model architectures
- experience building production Agentic AI frameworks