Amazon.com Services LLC

Machine Learning Science, Applied Science, Artificial Intelligence

AppliedScientist(Contract)

$0–0k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Applied Scientist (Contract) at Amazon.com Services LLC. Skills: Deep learning, Large Language Models, Multimodal systems. Lead development of advanced approaches. Innovate model-in-the-loop approaches”

What You'll Achieve.

Build industry-leading technology; Enhance customer experiences; Optimize customer experience

Industry & Context.

Machine Learning Science, Applied Science, Artificial Intelligence
Problems you'll solve

Solving business problems

What They're Looking For.

Must Have

Experience programming in Java, C++, Python, Experience researching machine learning, deep learning, NLP, computer vision, data science, Experience building machine learning models, Experience developing algorithms for business application, Experience programming or scripting language like Python, Java, C or C++

Nice to Have

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, Publications at top-tier peer-reviewed conferences or journals, Experience in solving business problems through machine learning, data mining and statistical algorithms

What You'll Do.

Lead development of advanced approaches

Innovate model-in-the-loop approaches

Innovate human-in-the-loop approaches

Ensure collection of high-quality data

Safeguard data privacy

Safeguard data security

Enhance customer experiences

Support science solution design

Research new algorithms

Optimize customer experience

Set examples for the team on good science

Set examples for the team on science standards

Work closely with engineers

Work closely with scientists

Put algorithms into practice

Put models into practice

How You'll Work.

Team & Collaboration

Collaborate with colleagues; Work with engineers; Work with scientists

Full Job Description

**This is currently a temporary contract opportunity (12 to 24 months duration) based on business needs** The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As part of the AGI team, an Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. An Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience.; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience building machine learning models or developing algorithms for business application - Experience programming or scripting language like Python, Java, C or C++ Preferred Qualifications: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Have publications at top-tier

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