About SurveyMonkey

Founded in 1999 and based in San Mateo, California, SurveyMonkey is the world’s leading platform for turning people’s voices and opinions into actionable data — People Powered Data. Whether it’s with customers, employees, or a target market, SurveyMonkey helps curious individuals and companies — including 99% of the Fortune 500 — have conversations at scale with the people who matter most. It’s  People Powered Data that allows them to understand not only “what” is happening, but “why.” SurveyMonkey’s 700+ employees throughout North America, Europe, and Asia Pacific are dedicated to powering the curious.

Engineering

Does __surveymonkey__ speak to you? Then you’re probably just who we need to help us build interesting, scalable solutions (and create maintainable systems that stand the test of time). See your code go live right away — and have an impact today, tomorrow, and for years to come. More importantly, we’re a friendly bunch looking for a teammate, to learn and grow with. If you're looking to own an integral part of our system, let's chat!

The Role

We need your help in building the next generation of our machine learning and data platform. We want to help our customers make great decisions from the billions of text-based survey responses we’ve received. To do that well, we’ll need to use search relevance to find the responses, natural language processing to understand them, machine learning to categorize them, and general domain expertise in knowing how to show the data to to our users. We’ll need to do this at scale and in real-time whenever possible.

Successful candidates will have built these types of systems before and deployed them to production,  have the judgment to know when to use out-of-the-box solutions versus building custom ones. Successful candidates will be work closely with Data scientists, integrate models with production applications and apply models to production traffic.

Requirements:

  • At least 5+ years professional software engineering experience or equivalent experiences (i.e. Ph.D. with two-year industrial experience)  using a high-level language (Python preferred).
  • Experience building and productionizing end-to-end Machine Learning systems. Experience utilizing big data and machine learning technologies (e.g. Spark, Spark Streaming, Kafka,  Map-reduce).
  • Good understanding of machine learning concepts and techniques like feature extraction, supervised classification, unsupervised methods such as  clustering, etc.
  • Strong communication and documentation skills.
  • Interested and excited by solving practical scalability issues of applied machine learning.

Preferred Qualifications:

  • Experience with ETL pipelines.
  • Experience with AWS big data eco system like Redshift, EMR, etc.
  • Experience with operating computational clusters for training machine learning models.

At SurveyMonkey, we offer competitive salaries, medical/dental benefits, PTO, 401k, paid holidays, and equity compensation.

SurveyMonkey is an equal opportunity employer.

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