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Senior Data Scientist, Computer Vision

Machine Learning | San Francisco, CA | Full Time

Job Description

About Us

CrowdFlower is the essential human-in-the-loop AI platform for data science teams. CrowdFlower helps customers generate high quality customized training data for their machine learning initiatives, or automate a business process with easy-to-deploy models and integrated human-in-the-loop workflows. The CrowdFlower software platform supports a wide range of use cases including self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.

Headquartered in the Mission District in San Francisco and backed by Canvas Venture Fund, Trinity Ventures, and Microsoft Ventures, CrowdFlower serves data science teams at Fortune 500 and fast-growing data-driven organizations across a wide variety of industries. For more information, visit

About the Role

As a Senior Data Scientist at CrowdFlower you will help evangelize the adoption of the CrowdFlower platform by data science teams for their AI and Machine Learning initiatives.  The ideal candidate will have already been a Data Scientist practicing real-world machine learning techniques inside a successful technology company, but we’re also open to candidates with deep expertise in machine learning making the transition from academia.  This position will report to the VP Machine Learning.


  • Evangelize the use and adoption of the CrowdFlower platform by data science teams (<25% Travel)

  • Deliver consulting engagements focused on Data Science and Machine Learning to prospects and customers

  • Conduct experiments with CrowdFlower and open datasets for the purpose of product and/or customer benefit

  • Speak at data science conferences on the topics of Machine Learning and AI

  • Serve as a ‘Voice of the Customer’ for the Product team in continuing to develop the CrowdFlower platform for commercial data-science-driven applications.

  • Demonstrate thought leadership through publication of content such as white papers, presentations and blog posts on topics related to machine learning

Positive Background Correlations :

  • A Ph.D. in Computer Science, Statistics, or Mathematics, or 5 years of experience in the application of Machine Learning to solving real-world problems

  • Specific experience in multiple machine learning and inferencing techniques including Bayesian classification, decision trees, support vector machines, and logistic regression

  • Expert knowledge of R, Python, SQL

  • Familiarity with recent ML literature

Bonus points if you have

  • A deep background in computer vision and deep learning

  • Existing participation in Data Science and Machine Learning industry groups, meetups, and affiliations

  • Experience with Amazon AI, Azure Machine Learning, Google Cloud ML, IBM Watson, Scikit-Learn, Salesforce Einstein/Metamind, TensorFlow

  • Published or taught technical material

How to Apply:

  • Click Apply Now -- your cover letter can be short: just tell us something about what excites you regarding this opportunity.



  • Competitive salary based on skills and experience

  • Medical, dental, vision, 401k

  • Flexible vacation

  • Full kitchen and catered lunches

  • Team events

  • Amazing office location in the heart of Mission!