As an NLP Engineer at Dialpad, you'll be solving NLP problems using the latest techniques in deep learning. Examples include building phrase semantic embeddings for NLP, interlingual embeddings, automating punctuation for speech recognition output, powering semantic search, and abstractive summarization.
You will have access to proprietary data and tech stacks and you'll be able to obtain more training data. You will be supported by data engineers and a data curation team so you can focus on model development. There will be many opportunities for collaboration with other ML engineers and more junior data scientists will look to you for advice.
Advanced degree in Language Processing, Computer Science, Electrical Engineering or Mathematics with specialization in natural language processing, machine learning or deep learning.
Solid experience building neural networks including DNNs, RNNs, bLSTMs, GRUs and/or a publication record in the area.
Solid experience with machine learning packages such as Tensorflow, Torch, Theano, and Chainer.