Applied Scientist-LLM, Amazon

Company:  Amazon
Location: Seattle
Closing Date: 26/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job ID: 2708178 | Amazon.com Services LLC

Do you want to be part of the team developing the future technology that impacts the customer experience of ground-breaking products? Then come join us and make history.

We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, to help build LLM solutions for Amazon core shopping.

Our team works on a variety of projects, including state of the art generative AI, LLM finetuning, alignment, prompt engineering, benchmarking solutions.

Key job responsibilities
As an Applied Scientist, you will be expected to work on state of the art technologies which will result in papers publications. However, you will not only theorize about the algorithms, but you will also have the opportunity to implement them and see how they behave in the field.

This is an incredible opportunity to validate your research on one of the most exciting Amazon AI products, where assumptions can be tested against real business scenarios and supported by an abundance of data.

BASIC QUALIFICATIONS

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

PREFERRED QUALIFICATIONS

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in LLM finetuning, pretraining, testing, and prompt engineering.
- Experience building machine learning models or developing algorithms for business application

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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