Staff Software Engineer, Machine Learning Infrastructure at Clarifai
About the Company
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, LLM's 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, Canada, Argentina, India and 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
You will be essential in contributing to our core ML infrastructure, helping researchers and users to train and serve state of the art models to our customers!
The Opportunity
Work with research teams to design and build our training infrastructure
Prototype new training frameworks and production-ize solutions at scale
Design, optimize and test model integration infrastructure
Requirements
Experience owning large technical initiatives and small teams
Experience designing and architecting distributed microservice systems
Experience with a cloud platform (AWS, GCP, Azure)
Hands-on experience implementing production machine learning systems at scale
Familiarity with setting up ML lifecycle systems
Experience developing machine learning infrastructure
Comfortable working with open source software
Great to Have
Prior experience with with Tensorflow, PyTorch, Onnx, Nvidia Triton, kubeflow is a plus
Experience with multiple cloud platforms (AWS, GCP, Azure)
Experience with Golang, Relational DBs
Experience with realtime and async processing of data
The salary hiring range for this position is $150,000 - $240,000 and flexible depending on relevant experience.