Machine Learning Ops Manager

About the Company

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia.

We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.

Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.

Your Impact

As Clarifai’s Field Applied Machine Learning Manager, you will be managing the teams of AML and Field Engineers responsible for the model development experience and their deployment to our customers. You will work with experienced individuals to bring solutions to customers in the realm of computer vision, natural language processing, and other AI endeavors. 

The Opportunity

• Managing development of labeled data sets
• Managing development of machine learning models 
• Managing deployment of deployment of ML models across architectures
• Documentation of all AML and deployment activities
• Ensuring proper customer management during AML projects

Requirements

• Depth of Machine learning models experience
• Python scripts and Jupyter notebook experience
• SQL programming experience
• Depth of DevOps/MLOps experience
• Technical writing skills
• Data Science analysis experience
• Experience working directly with customers supporting platform software

Great to Have

• Master of Science degree or higher 
• Experience supporting ML model in enterprise environment
• Open source development experience