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.
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 . 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 ML, 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. Additional responsibilities include:
- Designing, developing and maintaining core system features, services and engines
- Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product
- Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility
- Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules