Applied Scientist - LLM, Alexa
London, England, GBR
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
We have an exciting position within Alexa for an Applied Scientist with a strong background NLP and Large Language Models to help us develop state-of-the-art conversational systems.
As part of this team, you will collaborate with talented scientists and software engineers to enable conversational assistants capabilities to support the use of external tools and sources of information, and develop novel reasoning capabilities to revolutionise the user experience for millions of Alexa customers.
Key job responsibilities
As an Applied Scientist, you will develop innovative solutions to complex problems to extend the functionalities of conversational assistants .
You will use your technical expertise to research and implement novel algorithms and modelling solutions in collaboration with other scientists and engineers.
You will analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience.
You will communicate results and insights to both technical and non-technical audiences through written reports, presentations and external publications.
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
As part of this team, you will collaborate with talented scientists and software engineers to enable conversational assistants capabilities to support the use of external tools and sources of information, and develop novel reasoning capabilities to revolutionise the user experience for millions of Alexa customers.
Key job responsibilities
As an Applied Scientist, you will develop innovative solutions to complex problems to extend the functionalities of conversational assistants .
You will use your technical expertise to research and implement novel algorithms and modelling solutions in collaboration with other scientists and engineers.
You will analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience.
You will communicate results and insights to both technical and non-technical audiences through written reports, presentations and external publications.
Basic Qualifications
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application
Preferred Qualifications
- Experience using Unix/Linux- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
1
0
0
Category:
Data Science Jobs
Tags: CX Data Mining Java Linux LLMs Machine Learning ML models NLP PhD Privacy Python Research Security
Perks/benefits: Career development Conferences
Region:
Europe
Country:
United Kingdom
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Power BI Developer jobsData Scientist II jobsPrincipal Data Engineer jobsBI Developer jobsBusiness Intelligence Developer jobsStaff Data Scientist jobsPrincipal Software Engineer jobsStaff Machine Learning Engineer jobsJunior Data Analyst jobsDevOps Engineer jobsData Science Intern jobsSoftware Engineer II jobsData Manager jobsData Science Manager jobsStaff Software Engineer jobsLead Data Analyst jobsAI/ML Engineer jobsData Analyst Intern jobsBusiness Data Analyst jobsSr. Data Scientist jobsData Specialist jobsData Engineer III jobsBusiness Intelligence Analyst jobsData Governance Analyst jobsData Analyst II jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsLinux jobsKafka jobsKPIs jobsGitHub jobsJavaScript jobsTerraform jobsPostgreSQL jobsPrompt engineering jobsBanking jobsRAG jobsNoSQL jobsRDBMS jobsClassification jobsStreaming jobsPhysics jobsComputer Vision jobsScikit-learn jobsData Warehousing jobsGoogle Cloud jobsdbt jobs
GPT jobsHadoop jobsData warehouse jobsLooker jobsScala jobsPandas jobsLangChain jobsDistributed Systems jobsReact jobsR&D jobsOracle jobsBigQuery jobsScrum jobsMicroservices jobsELT jobsCX jobsPySpark jobsIndustrial jobsOpenAI jobsRedshift jobsJira jobsTypeScript jobsSAS jobsRobotics jobsModel training jobs