Dialpad is the cloud based phone system that powers voice, video, and messages all from a single platform. With a beautifully intuitive interface that works on your existing devices, your phone system is finally as adaptable as your team.
Who we are :
At Dialpad, we're a team of do-ers. A team that thinks outside the box and when that doesn't work, we reinvent it. We don't settle for the status quo and neither do the things we build.
Led by the same minds behind Google Voice, we build products that get businesses talking whether it's across the hall, street, or country.
With $120 million in funding from ICONIQ Capital, Google Ventures, Andreessen Horowitz, Scale Ventures and other top VC’s Dialpad attracts top engineers from companies like Microsoft and Google, and every member of our team plays an essential role in creating dynamic products that doesn’t just combine design and mobility but works with you wherever productivity may strike.
About the role :
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.
Proficiency in programming languages such as Python, bash, SQL
Advanced knowledge of linguistics for English and other languages
Enjoys a highly collaborative environment
Ability to thrive in a fast-moving, evolving work environment
Ability and desire to mentor junior scientists
Experience with statistical or neural machine translation is a plus
2+ years industry experience is a plus