Research Engineer

Key Skills

Caffe, Computer Vision (CV), Keras software library, logo, Machine learning techniques, NumPy, Pandas, Python Programming, Scikit-learn, TensorFlow, TensorRT

Job Description

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 and in Tallinn, 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

You’ll join our Research Team and help our team drive customer acquisition and revenue growth. You value collaboration and want to work closely with others in the company, including research, backend, infrastructure, product, frontend, and design. You’ll help build and maintain our customer models and visual search technology. You have the ability to make a significant impact on the company and the AI space as a whole.

Your Opportunity

• Train custom models with curated data and evaluate model performance. We are always looking to increase our accuracy and refine our current models.
• 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. 

Requirements

• 3+ years of hands-on experience crafting and experimenting with neural networks, machine learning techniques and computer vision
• Experience with imaging or NLP modalities
• Fluent with using a neural network framework such as TensorFlow, Keras, Caffe, or Torch, and understanding how back-propagation works
• Fluent with Python, as well as experience with packages such as NumPy, pandas, scikit-learn, and matplotlib.

Great to Have

• Experience with search infrastructure or GO language
• Experience with TensorRT, Deepstream Projects in video, speech, or NLP
• Experience with government contracts and interactions
• Published Research papers/patents