Amazon
Company
Machine Learning Engineer II, Special Projects
US, WA, Seattle
Job Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Key job responsibilities
* Work closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-end
* Write high-quality, maintainable code while following best practices and design patterns
* Own end to end deployment at scale of ML models for large scale inference
* Build and optimize automated data processing workflows
*Contribute to architecture decisions and technical strategy
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Key job responsibilities
* Work closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-end
* Write high-quality, maintainable code while following best practices and design patterns
* Own end to end deployment at scale of ML models for large scale inference
* Build and optimize automated data processing workflows
*Contribute to architecture decisions and technical strategy
Amazon
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