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.
The OpportunityNote: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this particular opportunity, as we are looking for someone who is eligible for a Secret or Top Secret Clearance
As a member of our Research Team, you will solve real world problems through a process of prototyping, implementation, measurement, and iteration. You'll determine why the latest academic ideas don't work and invent solutions that do. You'll work closely with members of our Applied Machine Learning team to improve models and bring products to market based on your research.
You help us kick off work in new domains for Clarifai or add new capabilities to existing product lines. We will look to you to apply your past hands-on experience with deep learning. You will continue to learn about advances in the field by reading papers and perhaps attending conferences. Your work and knowledge about the field will directly impact Clarifai's product roadmap.
Important for the job is the ability to work in different modes:
Research scientists are expected to follow the best engineering practices as appropriate for the stage of work, such as tracking work in source control, giving and receiving code reviews, writing tests for your code.
We are looking for someone motivated by having their ideas and creations out in the world in the hands of users and who shares our excitement about the potential of machine learning to positively transform our world. We value a collaborative, inclusive environment and seek those who are skilled at sharing knowledge inside and outside of Clarifai.
ImpactAs one of Clarifai's Senior Research Scientists, you will have impact within the developer community, machine learning field, and on Clarifai's business by using state-of-the-art machine learning tools, assisting with our innovation engine, and transferring your deep learning knowledge to others at Clarifai.
RequirementsJob details
Title
Senior Public Sector Research Scientist, Machine Learning
Employer
Clarifai
Location
United States
Published
July 08, 2024
Application deadline
July 26, 2023
Job type
Research
Field
ML, AI, Data Science
About the employer
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision and natural language processing. We help organizations transform unstructured images, video, and text 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 secured $40M in funding up to date, backed by Menlo Ventures, Google Ventures, USV, NVIDIA, Qualcomm, Osage, Lux Capital, LDV Capital, and Corazon Capital.
Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.