Applied Scientist

Applied Scientist I

Amazon is looking for a passionate, talented, and inventive Applied Scientists with machine learning
background to help build industry-leading Speech and Language technology.
Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in
Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML)
and Computer Vision (CV).

Key job responsibilities
Amazon is looking for a passionate, talented, and inventive Applied Scientists with machine learning background to help build industry-leading Speech and Language technology.
Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).
As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding.
We are hiring in all areas of human language technology: ASR, MT, NLU, text-to-speech (TTS), and Dialog Management, in addition to Computer Vision. We are also looking for talents with experiences/expertise in building large-scale, high-performing systems.

A day in the life
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Basic Qualifications

- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
- Experience programming with at least one software programming language, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Preferred Qualifications

- Experience with AI/ML technologies
- Knowledge of large scale distributed systems (e.g., Spark, Hadoop)
- Do you have publications in top-tier conferences or journals in AI/ML (NeurIPS, ICML, ICLR, ACL, EMNLP, ICASSP, etc.)?

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