Machine Learning Scientist

Affectiva, an MIT Media Lab spin-off, is the pioneer in Emotion AI, the next frontier of artificial intelligence. Affectiva’s mission is to bring emotional intelligence to the digital world with our emotion recognition technology that senses and analyzes facial expressions and emotion.

This position is on the Science team, the team tasked with creating and refining Affectivas technology. We are a group of individuals with backgrounds in computer vision, machine learning and affective computing. Were looking for the best researchers to join this team. Great candidates will be people who will contribute ideas and want to help shape the future of this space, and can execute ideas effectively and efficiently.

* Apply supervised and semi-supervised machine learning techniques on a variety of problems using Affectivas large dataset of spontaneous real-world face data * Experiment with deep architectures for the sensing and modeling of emotion * Prototype new forms of emotion sensing * Contribute to Affectivas core in-market SDK codebase

**Qualifications:** * A Masters/PhD degree in EE/Computer Science with specialization in machine learning, deep learning, computer vision or related areas. * Demonstrated experience (publications, projects) solving machine learning problems * Solid background and experience in large-scale machine learning methods, including, but not limited to, self-taught learning, transfer learning, co-training, and one-shot methods, as well as feature learning and deep convolutional architectures **Nice to have:** * Experience working with deep learning frameworks i.e. TensorFlow, Theano, Caffe * Work in Emotion Recognition or with the face