Job Details

ID #52185144
Estado Massachusetts
Ciudad Boston
Full-time
Salario USD TBD TBD
Fuente Amazon
Showed 2024-07-27
Fecha 2024-07-28
Fecha tope 2024-09-26
Categoría Etcétera
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Sr Manager, Applied Science

Massachusetts, Boston, 02108 Boston USA

Vacancy caducado!

DescriptionThe Alexa Conversational Assistants Services (CAS) org is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models. You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact. You will interact with a cross-functional team of science, product, and engineering leaders.We are looking for Senior Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants.Key job responsibilitiesLead and manage a team of applied and research scientists, and language engineers, data linguists responsible for building conversational assistantsCollaborate with cross-functional teams to ensure that Amazon’s AI models are aligned with human preferences.Identify and prioritize research opportunities that have the potential to significantly impact our AI systems.Mentor and guide team members to achieve their career goals and objectives.Communicate research findings and progress to senior leadership and stakeholders.Basic Qualifications Masters in Computer Science, Linguistics, or a related field. 10+ years of experience in natural language processing, machine learning, or a related field. Proven track record of leading and managing science teams handling personalization and affinity mining. Expert knowledge of machine learning algorithms and techniques. Familiarity with large-scale data processing and storage systems. Excellent communication and interpersonal skills. Ability to work in a fast-paced, collaborative environmentPreferred QualificationsPHD and Experience with building applications using Large language modelsAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Vacancy caducado!

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