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VP, Machine Learning

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 VP of Machine Learning you will be responsible for building and leading the Machine Learning and Data Science function at CrowdFlower and be a member of the executive management team.  The ideal candidate will have real world experience of machine learning across both text and image cases, have previously built and led machine learning teams, and be able to communicate to both technical and business audiences.  The Machine Learning and Data Science function is a shared resource model at CrowdFlower and the VP of Machine Learning will be expected to partner closely with the Product, Engineering, Marketing, Customer Success and Sales teams.


  • Hire, manage and mentor a team of Machine Learning and Data Science experts

  • Manage the cross-functional demand on the Machine Learning and Data Science function

  • Evangelize the use and adoption of the CrowdFlower platform and CrowdFlower AI by data science and machine learning teams (approximately 25% Travel)

  • Serve as a ‘Voice of the Customer’ for the Product and Engineering teams in continuing to develop CrowdFlower AI and CrowdFlower in general for commercial data-science-driven applications

  • Partner with Marketing to develop content for consumption by data scientists

  • Partner with Customer Success to assist in the adoption of CrowdFlower platform with the delivery of Machine Learning consulting services

  • Apply data science to internal business processes at CrowdFlower such as Trust & Safety

  • Develop bespoke machine learning models for special projects

  • Code review and analyze machine learning data pipelines, scripts and integrations for optimization opportunities

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

  • 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 10 years of experience in the application of Machine Learning to solving real-world problems

  • Practical experience with at least one of the following Machine Learning platforms: Azure Machine Learning, IBM Watson, Scikit-Learn, TensorFlow or Salesforce Einstein/Metamind

  • Familiarity with recent ML literature

  • Have built and/or led technical teams

Bonus points if you have

  • A deep background in image machine learning

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

  • Published or taught technical material


How to apply

  • Send us your resume and github profile if you have one.



  • 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!