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Applied Science Manager, Alexa AI, Alexa AI

Job ID: 1777530 | Amazon.com Services LLC

DESCRIPTION

Job summary
Alexa AI is seeking an Applied Science Manager to drive initiatives on the leading edge of Machine Learning (ML), Natural Language Processing (NLP), Question Answering (QA) and Information Retrieval (IR).

Working collaboratively with scientists and engineers, you will design and implement automated, scalable NLP/ML/QA/IR models for accessing and presenting information as well as improve products and features within Alexa. This exciting opportunity will impact the customer experience, design, architecture, and implementation of a cutting-edge product.

If you are an entrepreneurial, data-driven, innovative, and influential individual who thrives on solving complex ambiguous problems and building innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you.

As an Applied Science Manager you will lead the science efforts to develop novel algorithms and modeling techniques to advance the state of the art in ML, NLP, QA and IR. You will also:
· Manage a team of high caliber Applied Scientists and Software Engineers working on building world class, scalable systems
· Recruit, hire, mentor, and coach scientists and engineers at different levels of experience
· Manage and execute against project plans and delivery commitments within an Agile/Scrum environment
· Contribute to and lead science, design, architecture, process and development discussions
· Serve as a technical lead on demanding and cross-team projects, and effectively collaborating with multiple cross-organizational teams
· Apply technical influence on partner teams, increasing their productivity by sharing your deep knowledge.

BASIC QUALIFICATIONS

· Graduate degree in Computer Science or related field
· 3+ years of experience building natural language processing systems
· 3+ years of experience working directly with science or engineering teams
· 3+ years of people management experience, recruiting and managing science or engineering teams

PREFERRED QUALIFICATIONS

· PhD in Computer Science or related field
·
· 7+ years of experience working directly with science or engineering teams
· 5+ years of experience building natural language processing systems
· 5+ years of experience in building web-scale, high-performance, highly-available and scalable distributed machine learning systems
· 3+ years of people management experience, recruiting and managing scientists and engineers
· Proven ability to manage multiple, competing priorities simultaneously
· Ability to work in a fast-paced environment where continuous innovation is desired.
· Analytical acumen - comfortable generating and evaluating data to guide decisions
· Strong attention to detail and organizational skills.
· Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams, earn the trust of your colleagues, and influence senior stakeholders
· Ability to engage multiple technical teams to drive consistent expectations towards a shared goal
· Track record of thought leadership and contributions that have advanced state-of-the-art
· Experience in partnering with product and program management teams
· Strong publication track record


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





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.