Machine Learning Engineer

RedditNew York, NY
Remote

About The Position

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 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Job Duties: Build industrial-level models for critical Machine Learning tasks with advanced modelling techniques. Research, implement, test, and launch Deep Neural Network with advanced representation learning and feature interaction architecture. Systematic Feature Engineering work to convert all kinds of raw data in Reddit (dense & sparse, behaviour & content, etc.) into features with various techniques such as aggregation, embedding, sub models, etc. Be a mentor and cross-functional advocate for the team. Full-time telecommuting is an option.

Requirements

  • Bachelor’s degree (or its foreign equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field.
  • Recommender Systems
  • Natural Language Processing
  • Python
  • SQL
  • Apache Beam
  • Apache Spark
  • GCP
  • AWS
  • Cassandra
  • ElasticSearch
  • Machine Learning
  • PySpark
  • Multi-arm Bandits
  • XgBoost
  • Any suitable combination of education, training and experience is acceptable.

Responsibilities

  • Build industrial-level models for critical Machine Learning tasks with advanced modelling techniques.
  • Research, implement, test, and launch Deep Neural Network with advanced representation learning and feature interaction architecture.
  • Systematic Feature Engineering work to convert all kinds of raw data in Reddit (dense & sparse, behaviour & content, etc.) into features with various techniques such as aggregation, embedding, sub models, etc.
  • Be a mentor and cross-functional advocate for the team.

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
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