Senior Machine Learning Engineer, Dev Platform Data and Discovery

Reddit is a community-driven platform that fosters open conversations and engagement among its users. The Developer Platform team is seeking a Senior Machine Learning Engineer to lead projects that enhance user experiences through applied machine learning models, collaborating with cross-functional teams and mentoring junior members. This role involves owning projects from ideation to production, ensuring high quality and performance in a collaborative environment.

Responsibilities:

• Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance
• Identify opportunities to enhance ranking capabilities by diving deep into our platform and understanding the needs of our customers
• Design and develop applied machine learning models for modeled personalization, game taxonomy, and more, from ideation to production deployment
• Collaborate with data scientists, product managers and backend software engineers
• Mentor junior team members, share knowledge, and contribute to the technical growth of the team. Provide guidance on machine learning best practices and methodologies
• Conduct A/B tests and experiments to iterate and fine-tune algorithms and models
• Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community
• Design, implement, and maintain reliable, high-performance distributed systems

Requirements:

• 5+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment
• Prior experience with personalized feed ranking
• Proven track record of delivering complex machine learning projects from conception to deployment, preferably in real-world applications
• Ability to lead and mentor machine learning engineers or data scientists
• Strong communication skills to collaborate effectively with cross-functional teams and stakeholders
• Demonstrated ability to innovate and stay updated with the latest advancements in machine learning and AI
• Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
• Proficiency with programming languages and statistical analysis
• Prior experience with Sequence Modeling, Reinforcement Learning, or Transformer Architecture is a big plus
• Experience in Bayesian methodology and experimentation is a plus