Senior ML Engineer - Search & Recommendation Relevance

5 days ago

🏡 Remote – New York

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Reddit, Inc.

Dive into anything

Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media

501 - 1000

Description

• We are looking for a Senior Machine Learning Engineer to build and iterate on Guides, our next generation AI-driven search product. • You’ll be responsible for designing and building pipelines and algorithms that make it easy for users to find answers. • This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. • Contribute to improving Reddit's Search Recommendation Systems and Guides efforts prioritizing seamless and delightful user experience. • Collaborate across disciplines and with ML, UX and Infra teams at Reddit to find technical solutions to complex challenges. • Leverage your technical expertise to ensure our pipelines maintain high uptime and low latency. • Design and develop reproducible ML systems pipelines that coordinate various components to enhance search relevance. • Champion and drive engineering processes and best practices. • Work with large scale data, models, pipelines and product integration.

Requirements

• 5+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale. • 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. • Experience working with search & recommender systems and pipelines. • 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. • Big Plus: Experience in working and building machine learning models using PyTorch or Tensorflow.

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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