Machine Learning Eng Amazon AI

Job description

DESCRIPTION

Machine Learning Engineer, Natural Language Processing (NLP) - Amazon AI

Come and be part of the Amazon Artificial Intelligence (AI) team! AWS is building speech and language solutions to serve the needs of customers around the world. We're working hard, having fun, and making history -- come join us!

Amazon AI team is looking for a Machine Learning Engineer to join our science and data engineering team in the area of speech and Natural Language Processing (NLP). In this role, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will also partner with scientists and other engineers to help invent, implement, and connect sophisticated algorithms to our cloud based engines. Prior domain knowledge including AI, ML, NLP, and NLU is a preferred, though not required. However, strong motivation to learn ML, AI and NLU is critical for successful candidates. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns. Additional responsibilities include:
· Designing, developing and maintaining core system features, services and engines
· Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product
· Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in speech recognition, natural language processing, machine translation, time series analysis, signal processing, or machine learning.
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· 3+ years of related work experience OR a PhD
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· Strong development skills in programming languages such as C/C++, Python, Java or Perl.