Applied Science Manager, Alexa Conversational Modeling & LearningApplied Science Manager, Alexa Conversational Modeling & Learning
Description
As a Applied Science Manager within Alexa in the Conversational Modeling & Learning Org, you will bring business and industry context to science and technology decisions. You will set the standard for scientific excellence for your team and make decisions that affect the way we build and integrate LLMs for powering Alexa. You solicit differing views across your team and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.
Description
As a Applied Science Manager within Alexa in the Conversational Modeling & Learning Org, you will bring business and industry context to science and technology decisions. You will set the standard for scientific excellence for your team and make decisions that affect the way we build and integrate LLMs for powering Alexa. You solicit differing views across your team and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.
In this role, you will innovate in the fastest-moving fields of LLMs, in particular in how to build LLMs including all phases (CPT, SFT, LHF) that works at Alexa scale.
If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions.
It's an exciting time to be a leader in AI research, and LLMs in particular. In Amazon's CAMEL Org, you can make your mark by improving Amazon customers worldwide using Alexa on daily basis!
Key job responsibilities
You will be responsible for leading a highly performing science team, defining key research directions for the team, building a science roadmap and executing it. You will conduct science experiments by yourself to form your own intuition and help the team direction. You will communicate experiments results, milestones and roadmap delivery to various stakeholders in the Org. You will be working with your team members to grow their careers and achieve their career aspirations. You will be technically quite solid and with a passion for building scalable science and engineering solutions.
About The Team
Alexa is the intelligent agent that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a product used every day by people you know.
Basic Qualifications
- PhD
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience directly managing scientists or machine learning engineers
- Experience programming in Java, C++, Python or related language
- Experience in building machine learning models for business application
- Experience in applied research
- Knowledge of machine learning approaches and algorithms
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience hiring and growing top talent
- Strong publication record in top-tier journals and conferences.
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.
Company- Evi Technologies Limited
Job ID: A2911993Seniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionResearch, Science, and Engineering
- IndustriesSoftware Development
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