Reddit, Inc.
Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.
Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media
Machine Learning Engineer - Search
January 15
🇺🇸 United States – Remote
💵 $185.8k - $322k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Reddit, Inc.
Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.
Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media
📋 Description
• Reddit is a community of communities. • Looking for Machine Learning Engineers to shape the future of Search products. • Contribute to advancing search systems and building AI-driven search products.
🎯 Requirements
• 3-10+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale. • Experience in working and building machine learning models using PyTorch or Tensorflow. • Experience working with search & recommender systems and pipelines. • Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang. • Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems. • Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc.
🏖️ Benefits
• Comprehensive Healthcare Benefits • 401k Matching • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation (please use them!) & Reddit Global Wellness Days • 4+ months paid Parental Leave • Paid Volunteer time off
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