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Machine Learning Scientist, Computer Vision

Machine Learning | San Francisco, CA | Full Time

Job Description

About Us:

CrowdFlower is the essential human-in-the-loop AI platform. With 10 years experience, CrowdFlower has the world’s largest and most diverse collection of labeled training data. We have created 100s of millions of training data items from billions of human judgments, working closely with our customers to develop Machine Learning and Data Annotation strategies.

The wide range of applications that we work on includes self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support, social data insight, CRM data enrichment, product categorization, satellite image labeling, search relevance, and video tagging.

Headquartered in San Francisco and walking distance to some of the best cafes, restaurants and social activities in the city, CrowdFlower has a diverse and experienced team and are backed by Canvas Ventures, Trinity Ventures, Industry Ventures, Microsoft Ventures, and Salesforce Ventures. For more information, visit


About your Role:

This role is for someone who loves creatively solving problems with AI, and would be especially interesting for a person who would like to broaden their experience of where AI is applied. For example, one day, you will be helping a self-driving car company strategize about how to build Machine Learning models from their data, and the next day you might be working with a leading University's research team to classify medical images.

This is a high-profile role, working with many of the world’s leading Machine Learning and Data Science teams among our customers. With our customers, and with our internal teams, you will have the opportunity to publish papers and articles on Machine Learning and Human-Computer Interaction, and to present the results at academic and industry conferences.

This is an important position, within a new Machine Learning-focused team and reporting directly to the VP of Machine Learning, Robert Munro (Stanford PhD). You will be working closely with experts in Natural Language Processing and Data Engineering, with the opportunity to expand your knowledge in these areas, and to gain experience working within a successful and growing startup.



  • Pioneer new strategies for Computer Vision within the CrowdFlower Machine Learning team

  • Consult with the Data Science and Machine Learning teams among CrowdFlower’s customers to develop strategies for Machine Learning and Annotation on images and videos

  • Conduct experiments with internal data and open datasets for customers and new products

  • Publish papers, articles and blog posts that speak about the use of the CrowdFlower platform

  • Work with the Product team to develop our Vision Annotation software and open data sets


Positive Background Experience:

  • 5 years of experience in the application of Machine Learning to solving real-world problems, or a recent PhD focused on Computer Vision

  • Specific experience in Machine Learning and inferencing techniques including Deep Learning, Logistic Regression, and related technologies

  • Good knowledge of R, Python, or related scripting languages

  • Familiarity with recent Machine Learning 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 cloud-based software providers like AWS, Azure, Google Cloud, IBM and Salesforce

  • Specific experience with cloud-based or open source Machine Learning systems, like Amazon AI, Azure Machine Learning, Caffe, Google Cloud ML, IBM Watson, Keras, Salesforce Einstein, Scikit-Learn, Theano, TensorFlow, etc.

  • Publications and teaching experience


How to Apply:

  • Click Apply Below! Please add a short (a half page is fine) cover letter that shares what excites you about solving real-world problems for Machine Learning and Data Science teams, or anything else that excites about this potential role.



  • 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 San Francisco’s Mission!