Machine Learning InternshipNo salary
Together, we can impact mental health on a global scale, and if you're ready to create groundbreaking technology in Emotion AI, we invite you to apply for our Machine Learning Internship role based in San Francisco where you'll get to build a world-class set of machine learning applications to scale across homes, offices, and commutes globally.
Emotion AI is a complex problem and emotional response is not trivial. In order to build an emotion estimation model, we will need to annotate various signal data. We will need to build supervised and unsupervised models and look at model performance and latency, address issues with bias, and ensure that the datasets are large, diverse, representative, and properly labeled for metadata. For supervised learning, we would want to synthetically augment data for generalization and in semi-supervised learning, apply group level annotations. We will be exploring different deep learning approaches, various architectures to solve different variety of tasks, classification, and regressions.