AWS Comprehend Medical is looking for a Machine Learning Engineer to join our
science team in the area of Speech and Natural Language Processing.
Our organization develops the science that drives the cloud-based AI
services of AWS Comprehend Medical. Our mission is to put the power of AI into the hands
of every developer. We seek to advance the state of the art in machine
learning to create services that delight our customers and meet
real-world business needs.
As a Machine Learning Engineer you will partner with talented
scientists and engineers to design, train, test, and deploy machine
learning models. You will contribute to innovative features, improve
our services based on customer requirements and help maintain a highly
scalable data and model management infrastructure that supports
cutting-edge research. You will be responsible for translating
business and engineering requirements into deliverables and software
We are looking for candidates who thrive in an exciting,
fast-paced environment and who have a strong personal interest in
learning, researching, and creating new technologies with high
Prior domain knowledge in speech, natural language processing, or
computer vision is strongly preferred; solid knowledge of fundamentals
of statistics, machine learning, and deep learning is
required. Candidates should possess strong software engineering
skills and several years of industry experience.
* Master's Computer Science (or another quantitative field) * 3+ years of practical experience * Algorithm and model development experience for large-scale applications * Excellent programming skills (C/C++, python, Unix) * Practical experience in AI, Machine Learning/Deep Learning
* Prior experience in speech, natural language processing, computer vision or related area * Familiarity with AWS infrastructure * Experience with large-scale distributed systems or high-performance computing
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