Job Details

ML Software Development Manager - Alexa AI

Advertiser
Amazon
Location
Seattle, Washington, United States
Rate
-

Are you interested in building software for Alexa AI which includes Natural Language Understanding infrastructure for Incremental Learning, AutoML, Deep Learning or solving complex Big Data problems? We're building the Machine Learning platform behind Alexa. We're working hard, having fun, making history; come join us!

This team is in the Spoken Language Understanding Innovations org within Alexa AI which is a hybrid science and engineering org that builds services integrating new innovations to enable language engineers, scientists, SDEs and product managers to build conversational experiences for millions of Alexas customers. We are developing our ML stack to offer state-of-the-art abstractions to developers so they can deliver immersive voice experiences with ease. To accomplish this, we work closely with some of the best ML Research and Applied Scientists in the field. Projects this team is working on includes AutoML, Incremental Learning, Deep Learning, Testing Strategy, and Data preparation (Big Data pipeline).

As a Manager of Software Development in Alexa AI, you will be responsible for leading an organization of engineers in define, design, development, test, deployment, and operation of large scale distributed systems targeted at increasing Alexas rate of innovation. A successful candidate will have an established background in driving clarity in highly ambiguous technical environments, developing long-term technical roadmaps, a strong technical ability to guide and coach, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment. You will be responsible for building, maintaining, and organizing your teams, defining the technical strategy and product road map for your organization, as well as defining, measuring, and reporting on your organizations key performance metrics.

Key Responsibilities:
Responsible for the over-all systems development life cycle
Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering organization
Work closely with your teams to architect and develop the best technical design and approach
Report on status of development, quality, operations, and system performance to leadership and peers
If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.

BASIC QUALIFICATIONS

BS in Computer Science or equivalent
7+ years experience in software development.
3+ years experience managing software development teams with agile development methodologies
3+ years of hands on experience in architecting and building highly scalable distributed systems
Experience in developing long-term product and technical strategies
Experience influencing leadership decisions through presentation of technical information, both verbally and in writing
Experience forming teams and recruiting software engineers
Experience developing careers with software engineers

PREFERRED QUALIFICATIONS

Masters degree or PhD in Computer Science or Engineering
5+ years of experience in building distributed systems
Experience in leading multidisciplinary (dev/test/pm) organizations
Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
Demonstrated track record of project delivery for large, cross-functional, cross-organizational projects
A track record of communicating well with executives and non-technical leaders
Experience managing teams in a DevOps culture
Experience with big data solutions
Knowledge of machine learning fundamentals

Amazon is an Equal Opportunity Employer - Minority/Women/Disability/Veteran/Gender Identity/Sexual Orientation/Age

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