Sr. Machine Learning Engineer, AWS Lex

  • Amazon,
  • Bellevue, WA
  • 8 hours ago
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Amazon
Full Time

Job Description

DESCRIPTION

Job summary
Job summary
Amazon is looking for a Sr. Machine Learning Engineer for its AWS AI Organization to work on AWS Lex and AWS Transcribe

Key job responsibilities
What you will do:

* Build state-of-the art ML, NLP and ASR systems.
* Architect, design, develop, and extend high performance, test-driven code that meets requirements and is scalable and maintainable
* Architect and develop solutions that are highly scalable and cost effective
* Build on and maintain an existing code base as well as new components; maintain production code and contribute to deployment and QA processes
* Participate in prioritization, estimation, and sprint planning
* Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules

Inclusive Team Culture
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.

Work/Life Balance
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.

Mentorship & Career Growth
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.

A day in the life
You will be working very closely with Applied Scientists, training the models with state of the art AI technologies.

You will have an opportunity to directly impact the customer experience, design, architecture, and implementation of products that will be used every day by people you know. We're looking for someone passionate about innovating on behalf of customers, who demonstrates strong product ownership and is willing to think in new ways to solve difficult problems.

You will have track record of success in delivering new products, solving problems, and learning new technologies quickly.

BASIC QUALIFICATIONS

  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • 4+ years of professional software development experience
  • 2+ years of experience as a mentor, tech lead OR leading an engineering team


PREFERRED QUALIFICATIONS

• 2+ years of work experience building large-scale production Machine Learning systems or extensive experience with building distributed systems and willingness to learn specifics of ML systems.
• M.S. or Ph.D. degree in Computer Science
• M.S. or Ph.D. degree in Computer Science
• Experience developing cloud software services for scalability, performance and reliability.
• Experience building (not just using) information retrieval systems, search engines, or low-latency database systems
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Excellence in technical communication with peers and non-technical cohorts.
• Strong sense of ownership, urgency, and drive.
• Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.

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.


Company Information

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Dice Id : amazon15
Position Id : 1917939
Originally Posted : 4 months ago

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