Applied Scientist - Machine Learning and Speech Technology

Applied Scientist II

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 responsibilities
Basic Qualifications
PhD 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 learning
1-2 years of industry or research experience (including internships, co-ops, or post-doctoral work) in applied ML or related areas
Proficiency in programming languages such as Python, C/C++, or Java
Strong foundation in machine learning fundamentals and statistical modeling
Preferred Qualifications
Experience 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 field
Solid software development practices and experience shipping production-quality code
Strong written and verbal communication skills

A day in the life
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Basic Qualifications

- PhD or M.Tech in Computer Science, Electrical Engineering, Mathematics, Physics, or a closely related field

Preferred Qualifications

- PhD or equivalent research experience, or a Master's degree and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
- PhD, or a Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.