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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 assist organizations in converting unstructured data such as images, videos, text, and audio into structured data at a significantly faster and more accurate rate than what is humanly possible. Clarifai was established in 2013 by Matt Zeiler, Ph.D. Since winning the top five spots at the 2013 ImageNet Challenge, we have been a market leader in AI and are growing with employees located remotely across the United States, Canada, Argentina, India and Estonia.
To date, we have raised $100M in funding, with $60M coming from our most recent Series C round. Our backers include 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 dedicated to being an equal opportunity workplace focused on hiring and retaining a diverse workforce.
Your Impact
You will be responsible for developing custom models to solve real-world problems for businesses and enhance Clarifai's position in the rapidly expanding AI solutions space.
The Opportunity
Your responsibilities will include:
- Managing the development of labeled data sets
- Developing and analyzing the performance of machine learning models and the datasets on which they were trained and validated
- Supporting client engagements for creating custom models
- Working 3-4 days per week remotely
- Working 1-2 days per week at a government site in the DC area
Requirements
Applicants must have:
- Development experience in Mac and/or Linux environments
- Experience with Python scripts and Jupyter notebooks
- Experience with Spark SQL and Parquet data
- Experience with Gitlab/Github
- Technical writing skills
- Cloud computing skills (AWS, GCP)
- At least a BS in computer science, math, or physics
- Residency in the greater DMV (DC, Maryland, Virginia) area
- A current or recently held Secret security clearance with the capability to obtain TS/SCI
- Experience in data manipulation on government computing infrastructure
- Experience in deployment in cleared government facilities
Great to Have
Additionally, it would be great if applicants have a Master of Science degree or higher, machine learning development experience, experience with Docker, Kubernetes, Kubeflow, MLflow, or other MLops environments, and a TS/SCI security clearance.
