Research Engineer

at  Clarifai

ABOUT THE COMPANY

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

REQUIREMENTS

• 3+ years experience working with Python, with a focus on Machine Learning or Computer Vision (PyTorch/Tensorflow).
• Have a strong MLDevOps philosophy and experience with associated tooling (Git, CI/CD, Kubeflow, Hydra).
• Experience building and maintaining CI/CD pipelines.
• Must be comfortable working in a shell environment.
• Experience working with complex existing codebases.

• Work with our senior engineers to improve our object detection, segmentation, tracking, visual search and develop new products.
• Help the team deploy production ready models to customers. We anticipate that customers will have steady feedback for us on the models, so we should be focusing on using that feedback to make frequent model improvements.
• Help maintain our research ML infrastructure.
• Collaborate with the research team, and make sure solutions worked out by our research team are production ready.