TL;DR

Applied Scientist II, Business Data Technologies (AI): Responsible for designing and deploying scalable GenAI, NLP, and Computer Vision solutions impacting millions of customers and solving key customer experience issues. Focus on developing novel LLM, deep learning, and statistical techniques for task automation, text and image processing, pattern recognition, and anomaly detection.

Location: Remote

Company

%hirify_global% enhances customer experience and trust in product data by providing technologies to find and fix Amazon CX defects at scale, also develops GenAI platforms for automation of Amazon Stores Operations.

What you will do

Design and deploy scalable GenAI, NLP and Computer Vision solutions to solve customer experience issues.
Develop novel LLM, deep learning and statistical techniques for task automation.
Define the research and experiments strategy with an iterative execution approach to develop AI/ML models.
Partner with business and engineering teams to identify and solve complex problems.
Coach and mentor colleagues, improving their technical knowledge and engineering practices.
Contribute to patent filings and/or publish research work.

Requirements

PhD, or Master's degree in Electrical Engineering, Computer Science, Mathematics, or related field.
1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields.
Expertise in either Computer Vision or NLP and have a good understanding of the both.
Excellent communication skills.

Nice to have

Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision.
Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.
Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
Solid understanding of machine learning, deep learning algorithms and computational complexity.
Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.

Culture & Benefits

Inclusive culture empowers Amazonians to deliver the best results for customers.