The Machine Learning Platform team at Reddit is a high impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

How You'll Have Impact:

As the 6th largest site on the internet, Reddit generates billions of events and terabytes of data in a day. You will own projects from ideation to production instead of being stuck making small incremental gains on enterprise systems. We are looking for the best and the brightest Machine Learning Platform Engineers to join us in solving hard problems in order to enable products that millions of users will love, and ultimately bring community and belonging to Reddit’s users. We are a team of builders that value impact, personal growth, openness and kindness.

What You’ll Do

You will be instrumental in architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle.  You will deliver a self service ML platform that enables the continuous iteration and improvement of systems that use ML techniques including Deep Learning, Natural Language Processing, Recommendation Systems, Representation Learning and Computer Vision.

Responsibilities:

• Lead the building, testing, and maintenance of ML infrastructure at Reddit
• Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
• Design and implement solutions that significantly advance the architecture of the ML Platform
• Work with management on team goal setting, planning, and de-risk project execution
• Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML platform components and services health and quality

Requirements:

• 4+ years of work experience in a production software development environment or building data systems, or 3+ years of work experience plus a degree in ML, Engineering, Computer Science, or other relevant discipline
• Experience with design and architecture of large scale ML Systems  
• Experience building production-quality code incorporating testing, evaluation, and monitoring using object oriented programming, experience in: Python, Scala, golang.
• Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
• Strong organizational skills
• Strong communication and team-work skills

Pluses:

• Experience or interest in learning Scala, Go, Python, Java, AWS, GCP, and Kubernetes
• Experience maintaining or developing applications using large-scale data stack, e.g, BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis
• Experience or interest in recommendation, search engines, or content classification systems
• Interest in advancing infrastructure for Deep Learning, NLP, or Computer Vision

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic. 

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