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Clarifai // advanced image recognition using neural networks
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About the Company:

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, & 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 & in Tallinn, 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.

The Opportunity:

As a Senior Engineer, you build the systems & services behind the Clarifai magic. You will focus on the development of the model workflow engine & of Retrieval Augmented Generation (RAG) systems.

Impact:

You build the systems & services that will power some of Clarifais newest offerings. They will enable customers to perform automated tasks & synthesise internal information using LLMs & other models.

Requirements:

  • Minimum of 6 years of backend software development experience required. 
  • Proficiency in one or more object-oriented programming languages & relational database management systems. 
  • Ability to manage multiple projects simultaneously is highly valued at Clarifai. 
  • Thrives in a fast-paced work environment. 
  • Experience working on distributed teams is preferred, with strong communication skills & transparency being key. 
  • Enjoys mentoring junior engineers & interns. 
  • Familiarity with Agile methodologies is a plus.

Great to Have:

  • Experience with GO or Python 
  • ML related experience 
  • Experience with Kubernetes
 
 
 
 
 
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