DiscoverStartupsIMDbJobs at IMDb: Explore current Opportunities
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The world's most popular and authoritative source for movie, TV and celebrity content501-1000 Employees
  • B2C
  • Scale Stage
    Rapidly increasing operations

Jobs at IMDb

IMDb is the world’s most popular and authoritative source for movie, TV and celebrity content, reaching a combined mobile and web audience of more than 250 million unique monthly visitors. 5 things you probably do not know about IMDb: • IMDb was founded in Bristol • IMDb is the #1 movie website in the world with a combined web and mobile audience of more than 250 million unique monthly visitors • IMDb has both a growing software engineering center and a data quality team based in central Bristol • IMDb has been a wholly owned subsidiary of Amazon.com for over 19 years • IMDb (an Amazon Subsidiary) is located in Seattle, Bristol, New York and Santa Monica We are posting new jobs all the time, so check back regularly for new opportunities.
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Engineering

Senior Software Development Engineer, IMDb Discovery Services

NewPosted 1 week ago

Senior Software Development Engineer, IMDb Discovery Services

  • Own distributed services handling billions of requests across imdb.com, amazon.com, and partner channels
  • Lead development and strategy of key system features on IMDb's Discovery platforms, driving intent-based search and AI/ML-powered ranking
Engineering

Software Development Engineer II, Engagement and Growth Tech

NewPosted 1 week ago

Software Development Engineer II, Engagement and Growth Tech

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Designer

Sr. UX Designer, IMDb

NewPosted 1 month ago

Sr. UX Designer, IMDb

  • 8+ years of design experience
  • Have an available online portfolio
Engineering

IMDb Data Scientist, IMDb Insights and Analytics

NewPosted 2 months ago

IMDb Data Scientist, IMDb Insights and Analytics

  • Frame loosely defined business problems as science problems, and iterate on the approach with limited guidance.
  • Establish ground truth. Design the sampling, set the label quality bar, and build datasets across behavioral, text, and catalog domains.