Data Scientist

Job Description. The Cimpress AI and Research Team (AIR) is seeking a world-class Data Scientist to join our team of pragmatic visionaries and skilled scientists. This role involves leveraging machine learning to tackle distinctive challenges within our industry

We are looking for a Machine Learning Scientist with expertise in applying ML and DL techniques in Computer Vision and Natural Language Processing. As part of our team, you will be responsible for developing and researching innovative algorithms that enhance customer experiences and create significant business value

Responsibilities. Provide domain expertise and engineer solutions that propel our culture of innovation and challenge conventional industry standards

Play a key role in disrupting the mass customization industry, helping to drive the company's growth beyond $3 billion in revenue

Manage and leverage a vast dataset of images and text, utilizing advanced frameworks like PyTorch and TensorFlow to train and deploy sophisticated deep learning models across more than 50 AI/ML-powered micro-services

Employ cutting-edge generative AI technologies to autonomously create designs and fine-tune large language models using our extensive in-house data

In This Role, You Will. Utilize Artificial Intelligence to address unique challenges specific to Cimpress and mass customization

Research leading-edge technologies that have significant business implications

Develop models that autonomously generate designs using generative AI

Implement AI classification models to automatically detect and correct design defects, improving image quality and correcting issues such as blurring

Qualifications. Deep expertise in advanced Deep Learning techniques, including CNNs, GANs, RNNs, and Transformers

Strong foundation in Computer Vision and familiarity with Natural Language Processing

Proficiency in Python

At least two years of hands-on experience in developing models for computer vision and machine learning

An academic background in Statistics, Mathematics, or a related quantitative field

Highly Desirable. Advanced degrees in Computer Vision, Natural Language Processing, or Machine Learning

Software development experience with exposure to big data platforms

Demonstrate ownership capabilities