Applied Scientist II

Job description

Amazon is seeking a passionate and inventive Applied Scientist II with a strong machine learning background to build industry-leading Speech and Language technology. Our mission is to deliver delightful customer experiences by advancing Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML), and Computer Vision (CV).You will work alongside internationally recognized experts to develop novel algorithms and modeling techniques that advance the state-of-the-art in human language technology. Your work will directly impact millions of customers through products and services powered by speech and language technology. You will gain hands-on experience with Amazon's heterogeneous speech, text, and structured data sources, and leverage large-scale computing resources to accelerate advances in spoken language understanding.We are hiring across all areas of human language technology: ASR, Machine Translation (MT), NLU, Text-to-Speech (TTS), Dialog Management, and Computer Vision. We also seek talent experienced in building large-scale, high-performing systems.Key job responsibilitiesBasic QualificationsPhD or M.Tech in Computer Science, Electrical Engineering, Mathematics, or Physics with specialization in one or more of: speech recognition, natural language processing, machine translation, time series analysis, signal processing, or machine learning1-2 years of industry or research experience (including internships, co-ops, or post-doctoral work) in applied ML or related areasProficiency in programming languages such as Python, C/C++, or JavaStrong foundation in machine learning fundamentals and statistical modelingPreferred QualificationsExperience building speech recognition, machine translation, or natural language processing systems (e.g., commercial products, government projects, or published research with working prototypes)Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)Track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ACL, Interspeech, CVPR)Scientific thinking with demonstrated ability to innovate and contribute to advancing the fieldSolid software development practices and experience shipping production-quality codeStrong written and verbal communication skillsA day in the life0