Senior Software Engineer, ML Platform

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 82M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Location:
This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like. 

Team Description: 
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.

Role Description:
As a Senior Software Engineer, Machine Learning Platform, this person will be instrumental in architecting, implementing, and maintaining foundational Machine Learning infrastructure (especially on the Inference/Training Platform) 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, specifically within our Inference/Training Platform.
• 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

Required Qualifications:

• 4+ years of work experience in a production software development environment or building data systems, 
• 3+ years of work experience plus a degree in ML, Engineering, Computer Science, or other relevant discipline
• Experience with design and architecture …