Posted 16 June, 2026
Applied Scientist II
Amazon
IN, KA, Bengaluru
Full Time
Reference: 71_654242_970157c5-7b44-4d68-8733-8e1b6aa2f39c
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
0
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
0
