We are a small team building new voice-forward products and experiences that delight our customers. Think of a startup within Amazon; with the ability to solve challenging problems which leverage the breadth of voice technology within Amazon. Our mission is to push the boundaries in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. We are honored to be part of the team that helped build Amazon Comprehend Medical, the 1st AWS health care specific machine learning service. Who you are: You are a Machine Learning Software Development Engineer who is skilled at data preparation, ML training, putting models into production and maintaining models in a heavily scalable cloud environment. It is not imperative to have experience in ASR but be very strong in ML, statistics, coding (and have a “will do” spirit!). What you’re going to do here: You will gain hands on experience with
· Master’s Degree in Computer Science or Bachelor’s Degree with 3-6 years related work experience · Minimum 2 years of experience building production quality and large scale deployment of applications related to natural language processing or related machine learning applications · Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet · Must have ML/NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement)· Master's degree in Computer Science · Strong programming