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Tier-1 brand, mid-level data science title, metro location, and generalist ML requirements increase competition.
Specialized speech/NLU and ML requirements moderately limit transferability across industries.
Requires specific ML/speech research experience and publications with PhD preferred, producing strict shortlisting filters.
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Develop and experiment with novel algorithms and data techniques to advance automatic speech recognition, natural language understanding, and spoken language technology.
Work with Amazon’s heterogeneous speech, text, and structured data sources alongside large-scale computing resources to improve spoken language understanding.
Directly impact millions of customers by contributing to speech and language AI products and services within Amazon AWS.
1+ years experience in data querying (e.g., SQL), scripting (e.g., Python), or statistical software (e.g., R, SAS, Matlab).
2+ years as a data/research scientist, statistician, or quantitative analyst in an internet-based company handling complex, big data sources.
Master's degree in STEM or equivalent experience in STEM fields.
1+ years creating or contributing to mathematical textbooks, research papers, or educational content.
Experience working with large-scale speech and language datasets and deploying machine learning models in a production environment.
Strong background in machine learning with familiarity in clustering and distributed data processing frameworks (e.g., Hadoop, Spark).
Ability to translate complex quantitative analysis into business insights and effectively communicate findings to technical and non-technical stakeholders.