Amazon Corporate LLC Machine Learning Engineer in Seattle, Washington

Machine Learning Engineer Location: US-WA-Seattle Job ID: 774689 Company: : Services, Inc. Position Category: Software Development Company/Location (search) : Country (Full Name): : United States Job DescriptionWe 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 Amazon's heterogeneous speech, text, and large-scale computing resources to accelerate advances in spoken language understanding. You are going to be working alongside internationally recognized experts to train and bring bleeding edge machine learning models into production. Responsibilities Source and prepare data for training in machine learning models. Take responsibility for ensuring that Machine Learning code, models and pipelines are deployed successfully into production, including troubleshooting issues that arise. Automate model training and testing and deployment via machine learning continuous delivery pipelines. Design and implement metrics to verify model and algorithm effectiveness. Basic Qualifications 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) Preferred Qualifications Master's degree in Computer Science Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, etc.) Ability to take full ownership for parts of the system end-to-end from design to production and support. Experience building large scale systems on AWS Experience with large-scale multi-tiered systems and service-oriented architecture Knowledge of Machine Learning Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation