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Description

The Artificial General Intelligent team (AGI) seeks a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI.

As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers.

The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in the field. They thrive in fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback.

Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers.

Key job responsibilities

. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence.

. You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases

• Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints

• Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results

• Perform model/data analysis and monitor metrics through online A/B testing

• Research and implement novel machine learning and deep learning algorithms and models.

Basic Qualifications

- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience

- Experience programming in Java, C++, Python or related language

- 2+ years of building models for business application experience

- 2+ years of hands-on experience in modeling and analysis, and in deploying machine learning / deep learning models in production.

Preferred Qualifications

- 5+ yrs. experience in building spoken language language processing systems (e.g. commercial speech products)

- Solid Machine Learning background and familiar with SOTA machine learning techniques

- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

- Solid software development experience

- Good written and spoken communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.