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- Technical Program Manager, Data Platform
- Data Scientist, Video Analytics
- Senior Data Scientist, Ads Analytics
- Senior Data Scientist, India Growth
- Engineering Manager, Ads Prediction
- Machine Learning Engineer, Video Recommendations
- Senior Data Scientist, Community
- Senior Data Scientist, Ads Experimentation
- Data Science Manager, Search & Feeds
- Software Engineer, Machine Learning - Data
- Data Engineer
- Senior Data Scientist, Forecasting
- Data Science Manager, Ecosystem
- Data Engineer, Ads Measurement
- Senior Data Scientist, Ecosystem Anlaytics
- Senior Software Engineer, Backend Machine Learning (User Understanding)
Senior Machine Learning Engineer - Growth
Senior Machine Learning Engineer - Growth
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
As a core member of the Channels Relevance team, you’ll work with the billions of events and terabytes of data generated every day to personalize Reddit notifications for each user on the platform, helping them connect with their communities and discover the best of Reddit.
How You'll Have Impact:
You will own projects from ideation to production instead of being stuck making small incremental gains on enterprise systems. You’ll work with a super talented, cross-functional team to solve hard problems in order to create experiences that users will love. We are a team of builders that value impact, personal growth, openness and kindness.
What You'll Do:
- Collaborate on projects with other Channels Relevance engineers where you’ll apply Machine Learning to personalization, discovery and recommendation problems.
- Build and deploy sophisticated machine learning models to improve experiences for millions of users.
- Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate.
- Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.
Who You Might Be:
- 2+ years post-graduation hands-on work experience in Machine Learning in a production-based environment (not including internships).
- Solid theoretical knowledge of Machine Learning and Statistical concepts, including Deep Learning, as well as performance tradeoffs. Experience with recommender and/or ranking systems is a plus.
- Experience with at least 1 of: Tensorflow, Keras, PyTorch and Sklearn
- Experience working with data-intensive systems and writing production-quality software (preferred Python or golang)
- The ability to extract insight from data; proficient with SQL
- Passionate about building delightful products for users
- Strong communication and team-work skills
Company Benefits:
- Pension Scheme
- Private Medical and Dental Scheme
- Life Assurance, Income Protection
- Workspace benefit for your home office
- Personal & Professional development funds
- Family Planning Support
- Cycle to Work Scheme
- Flexible Vacation & Reddit Global Days Off