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Python Developer Jobs

Software Engineer, Machine Learning

Facebook

  • c
  • c++
  • java
  • python
  • perl

Quick Facts

Company
Facebook
Location
Menlo Park, CA, US
Experience
Senior
Employment
Full-time
Type
Remote & On-site

Job benefits

  • Hack-a-month, hackathons, and the best tools to get the job done
  • Generous compensation, equity, 401k matching, and bonuses
  • Comprehensive medical benefits, plus a wellness reimbursement
  • Paid time off and flexible work schedules
  • Learning and development resources so you can continue to grow
  • Baby leave, baby cash, adoption help
  • Free shuttles or public transportation reimbursement
  • Free meals, unlimited snack kitchens
  • Excellent relocation benefits
  • Weekly Q&A meetings with company leaders

Job description

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. Facebook is seeking machine learning engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.


Skills & Requirements


Responsibilities



  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

  • Suggest, collect and synthesize requirements and create effective feature roadmap

  • Apply expert software development skills to a wide range of ML-related coding projects

  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)


Requirements



  • MS degree in Computer Science or related quantitative field with 5 years of relevant experience or Ph.D degree in Computer Science or related quantitative field

  • Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, large-scale data mining or artificial intelligence.

  • Proven ability to translate insights into business recommendations

  • Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable

  • Expert knowledge developing and debugging in C/C++ and Java

  • Experience with scripting languages such as Perl, Python, PHP, and shell scripts

  • Experience with filesystems, server architectures, and distributed systems a plus

Apply now