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:
As an ML Community Ops Engineer you will grow Clarifai's brand by adding the
latest state of the art AI to Clarifai's community. You will be in touch with
advancements in AI, and ensure the latest models can be used by Clarifai
users. You will work with Marketing to market new models that are added to our
platform. In doing this you will expose the Clarifai brand to a broader
community.
Your Opportunity:
Be an expert in publicly available open source models that have a high
score / popularity / buzz potential and import them into Clarifai
community
Continuously import the top models to Clarifai's community, test models in
various scenarios
Craft compelling language that targets technical and non-technical users,
add unique examples for previews before publishing content
Support marketing in promoting newly added models
Engage with community to maximize backlinking from original authors
Build custom python demos for some of the models
Your Experience:
Experience with machine learning model development and evaluation: the
candidate should have experience in developing and training machine
learning models. They should understand different model architectures,
regularization techniques, and evaluation metrics.
Deep learning expertise: familiarity with deep learning architectures,
such as convolutional neural networks (CNNs) or recurrent neural
networks (RNNs).
Follow the machine learning community closely: the candidate should follow
the developments in AI space closely and stay up to date on a daily basis.
Strong understanding of machine learning concepts, principles and
algorithms: the candidate should be experienced with libraries like
TensorFlow, PyTorch and scikit-learn.
Advanced programming skills in Python: the candidate should be able to
write efficient and scalable code, as well as perform data manipulation
and preprocessing tasks.
Knowledge of ML frameworks and tools: the candidate should have experience
with popular ML frameworks and tools, such as TensorFlow, PyTorch, Keras
or Triton Inference Server. They should be comfortable with training
models, deploying them into production, and optimizing their performance.
Understanding of cloud platforms: the candidate should be familiar with
cloud platforms like AWS, Azure, or Google Cloud is often required. They
should understand how to leverage cloud resources for scalable and
distributed computing, as well as deploying and managing ML models on
these platforms.
Data processing and analysis: the candidate should have experience with
data processing and analysis techniques, including data cleaning, feature
engineering, and exploratory data analysis. They should be able to work
with large datasets.
Software engineering skills: the candidate should possess strong software
engineering skills to build robust and scalable ML systems. This includes
knowledge of software development principles, version control systems like
Git, and familiarity with software engineering best practices like code
documentation and testing.
Preferred Experience:
You stay on top of the latest generative AI technologies and are excited
to build content around them
Passionate about opens source development and interested in contributing
to Clarifai's open-source projects
Experience working with cross-functional teams (product management,
marketing, engineering, customer success, etc).
An entrepreneurial mindset that emphasizes scrappiness, experimentation,
and creativity - done is better than perfect
Practical experience with content creation tools (e.g. Figma, Final Cut,
Runway ML, Canva, etc.)
