About the Company

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, LLM's & audio recognition. We help organizations transform unstructured images, video, text, & audio data into structured data at a significantly faster & 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, Canada, Argentina, India & Estonia. 

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

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

Your Impact

You will be essential in contributing to our core ML infrastructure, helping researchers & users to train & serve state of the art models to our customers!  

The Opportunity

You are passionate about using your Backend engineering expertise & leadership to broaden the reach of our artificial intelligence technology & make it easily accessible to all skill levels. You will:

• Manage & mentor our global team of Backend engineers
• Work with research teams to design & build our training infrastructure
• Prototype new training frameworks & production-ize solutions at scale
• Design, optimize & test model integration infrastructure
• Work with data team to implement ETL/ELT pipeline

Requirements

• 8+ years of experience developing Machine learning infrastructure
• Manage a team while remaining hands on in the code base. 
• Familiarity with setting up ML lifecycle systems  
• Comfortable working with open source software
• Hands-on experience implementing production machine learning systems at scale

Great to Have

• Prior experience with with Tensorflow, PyTorch, Onnx, Nvidia Triton, kubeflow is a plus
• Experience with Golang, Relational DB
• Experience with async processing

The salary hiring range for this position is $180,000 - $220,000 & flexible depending on relevant experience.