Lead Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

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 Lead Data Scientist, you will manage the AML and Field Engineers teams 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

• Mentor a team of skilled applied machine learning engineers through customer-facing project deliveries
• Manage the development of labeled data sets and machine learning models
• Train custom models for customers with curated data and evaluate model performance
• Help the team deploy production-ready models to customers.
• Use customer feedback to propose and execute necessary model improvements
• Documentation of all AML and deployment activities
• Ensuring proper customer management during AML projects

Requirements

• Depth of machine learning models experience with computer vision and natural language processing
• 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 an enterprise environment
• Open source development experience