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Senior Machine Learning - Series A Funded Startup - Onsite (SF or NYC) or Remote at Source Coders Inc (San Francisco, CA)

About you:

  • Care deeply about democratizing access to data.  
  • Passionate about big data and are excited by seemingly-impossible challenges.
  • At least 80% of people who have worked with you put you in the top 10% of the people they have worked with.
  • You think life is too short to work with B-players.
  • You are entrepreneurial and want to work in a super fact-paced environment where the solutions aren’t already predefined.

About SafeGraph: 

  • SafeGraph is a B2B data company that sells to data scientists and machine learning engineers. 
  • SafeGraph's goal is to be the place for all information about physical Places
  • SafeGraph currently has 20+ people and has raised a $20 million Series A.  CEO previously was founder and CEO of LiveRamp (NYSE:RAMP).
  • Company is growing fast, over $10M ARR, and is currently profitable. 
  • Company is based in San Francisco but about 50% of the team is remote (all in the U.S.). We get the entire company together in the same place every month.

About the role:

  • Core software engineer.
  • Reporting to SafeGraph's CTO.
  • Work as an individual contributor.  
  • Opportunities for future leadership.

Requirements:

  • You have at least 6 years of relevant work experience.
  • Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods. 
  • Proficiency writing production-quality code, preferably in Scala, Java, or Python.
  • Experience working with huge data sets. 
  • You are authorized to work in the U.S.
  • Excellent communication skills.
  • You are amazingly entrepreneurial.
  • You want to help build a massive company. 

Nice to haves:

  • Experience using Apache Spark to solve production-scale problems.
  • Experience with AWS.
  • Experience with building ML models from the ground up.
  • Experience working with huge data sets.
  • Python, Database and Systems Design, Scala, TensorFlow, Apache Spark, Hadoop MapReduce.

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