Sr Manager, Applied Science
Bellevue, Washington
Amazon's Artificial General Intelligence (AGI) Team mission is to build the world's best Artificial General Intelligence that will enable every Amazon business to deliver more value to its customers and benefits humanity. AGI foundational models and services can be used across all businesses at Amazon. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers
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 responsibilities
Lead and manage a team of applied and research scientists responsible for building personalization
Collaborate 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.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
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 environment
PREFERRED QUALIFICATIONS
PHD and Experience with building applications using Large language models
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/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.
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 responsibilities
Lead and manage a team of applied and research scientists responsible for building personalization
Collaborate 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.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
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 environment
PREFERRED QUALIFICATIONS
PHD and Experience with building applications using Large language models
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/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.
Created: 2024-06-07
Reference: 2663567
Country: United States
State: Washington
City: Bellevue
ZIP: 98004
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
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