Software Development Engineer, Amazon Lex - Seattle
Amazon Lex is a fully managed AWS AI service that provides customers a platform to build conversational interfaces (‘chatbots’) using both voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) to convert speech to text, and natural language understanding (NLU) to recognize the intent of the text. This enables customers to build applications with highly engaging user experiences and lifelike conversational interactions. AWS Artificial Intelligence is a niche domain within AWS solving problems on the intersection of large scale distributed systems and machine learning.
As an SDE in Amazon Lex, you will be working with a group of Applied scientists to build the next generation of Automated Speech Recognition technology. Your responsibilities will include designing and developing scalable machine learning systems. You will collaborate closely with Applied Scientists and product managers to influence our overall technical strategy and road map. You will own the system architecture, spear head best practices, and help mentor other engineers. A successful candidate will have an established background in engineering large scale software systems, strong coding skills, great communication skills, and a motivation to achieve results in a fast paced environment. Prior experience with machine learning is not a must have.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
- Programming experience with at least one software programming language.
- 1+ years of experience in software development
- 2+ years of non-internship professional software development experience
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- 2+ years of relevant software development experience
- Experience with deep learning systems will be a big plus
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation
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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, visit https://www.amazon.jobs/en/disability/us
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