Careers at Facebook

Software Engineering

Software Engineer, Search & Machine Learning

位置:New York, NY
Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.
“The Hacker Way” is an approach to building that involves continuous improvement and iteration. Hackers believe that something can always be better, and that nothing is ever complete. They just have to go fix it – often in the face of people who say it’s impossible or are content with the status quo. If you fit this calling, Facebook wants you to join our NYC-based engineering team and help to develop scalable solutions to some of the most, if not the most, intricate engineering problems that impact the likeability (thumbs up!) of our 1 billion+ users.

We’re looking for data-driven engineers to join the Search and Machine Learning team. As a part of the larger Entities team, which is working to map and connect the high-quality social and entity graph on Facebook, the Search team is focused on building the best location dataset in the world for our location products (mobile Nearby, Graph Search, etc.) and 3rd party developers. The work is a mix of Crowdsourcing (PHP/front-end), Machine Learning (Python/ranking), and Search Features/Ranking (Python/ranking). We are looking for candidates who share a passion for tackling complexity and making sense out of massive datasets using text retrieval, NLP, machine learning and various other optimization techniques.

Responsibilities

  • Monitor the quality of the graph and reduce duplicate entities across the site (and web)
  • Increase the amount of metadata we have about each node and connectivity between entities
  • Create APIs and services that allow third-parties to integrate with and utilize the entity graph
  • Build/infer features that improve performance and other services (search, ads, feeds, etc.)

Requirements

  • Passion for solving the world’s toughest problems, and the smarts to actually solve them
  • Burning desire to make the world more connected and open
  • B.S. or M.S. Computer Science or related field, Ph.D. a plus
  • Background in Machine Learning, NLP or related field a plus
EOE Minorities/Females/Protected Veterans/Individuals with a disability.
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