Software Development Engineer, Alexa Speaker Recognition

Job description

DESCRIPTION

Alexa is the groundbreaking cloud-based voice service that powers Echo and other devices designed around your voice. Our mission is to push the envelope in Natural Language Understanding (NLU), Machine Learning (ML), Automatic Speech Recognition (ASR), and Speaker Recognition, in order to provide the best-possible experience for our customers. We're looking for a Software Development Engineer to help build industry-leading speaker recognition technologies and machine learning systems that customers love.

The Speaker ID (Voice Recognition) team enables Alexa to provide personalized experience to millions of Alexa customers. Our mission is to make Alexa devices become your best friends, recognizing your voice with confidence. At core, we use both statistical, deep learning, and neural network models to make the magic happen. We are the brains behind “Alexa, who am I?” “Echo, call my mom?” and more. We help millions of Alexa customers to get personalized experience 24 hours a day, 7 days a week.

As a Software Development Engineer for the Alexa Engine team focused on Speaker Recognition, you will be responsible for the design, development, testing, and deployment of scalable distributed services with high level of operational excellence. You help define product features, drive the system architecture, and spearhead the best practices that enable a quality product. In this role, you will work with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility. The team operate in an Agile/Scrum environment to deliver high quality software against aggressive schedules.

In addition, you will build automated machine learning workflows with configurability, traceability, recoverability to enable faster experimentation. You will also partner with scientists and other engineers to help invent, implement, and connect sophisticated algorithms to our cloud based runtime engines. You will bring software best practices rigor to the machine learning domain by enabling continuous integration, continuous deployment of software artifacts. Prior domain knowledge including Machine Learning, ASR, and NLU is a preferred, though not required. However, strong motivation to learn ML, ASR and NLU is critical for successful candidates. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Electrical Engineering, or related technical field
· 5+ years experience in developing software. You are comfortable with object-oriented languages like Java, scripting languages Python, and open-source technologies (Apache Hadoop, Spark, )
· 3+ years experience with system design and architecture.
· Knowledge of data structures, algorithm, design pattern, and database.
· Industrial experience in developing cloud software services and an understanding of design for scalability, performance and reliability
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