Degree in Computer Engineering
Github, Java Programming, Linux Operating system, Machine learning techniques, MxNet, Python Programming, PyTorch, SQL, TensorFlow, VR/AR frameworks
Job summary
Are you interested in machine learning and artificial intelligence (ML/AI)? Are you deeply curious about cloud computing? Do you like teaching others how to use technology? Have you written code examples, built ML pipelines, and contributed to open source? If so, you might be interested in a position as a Machine Learning Engineer at Amazon Web Services (AWS).
As an AWS Machine Learning Engineer, you will have the opportunity to work with a talented team to produce solutions for technical content in a cross-functional, distributed environment. Amazon.com is committed to being a leader in the web services marketplace, and one of the key measures of success is how well we support the developers who use AWS products. The documentation team plays a vital role in getting our customers up and running quickly and making sure that the details of our products are clearly described and easy to understand.
The ideal candidate has a technical aptitude that enables effective interaction with Technical/Programmer Writers, Software Development Engineers, Product Managers, and Technical Program Managers. In addition, the ideal candidate has excellent communication skills and the ability to deliver high-quality technical publications.
AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.
We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.
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 we 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 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Key job responsibilities
Key Responsibilities
About the team
The team is part of the Customer Experience org within AWS.
Our tenets:
1. See the whole customer. We better serve customer needs by understanding their larger context and goals. We deliver content that is accessible to all.
2. Earn and keep trust. Our customers can count on us. Our content is accurate, relevant, discoverable, and when appropriate, opinionated. When our docs or services are lacking in a meaningful way, we hustle to fix them.
3. Advocate early, always, and unfailingly for the customer. It is our job to advocate for the customer throughout their journey. During design, development, and beyond, we speak up to ensure the best customer experience.
4. Write less, say more. We favor purposeful content over comprehensive coverage. We deliver clear, concise explanations with the right level of depth for the subject and audience.
5. Prioritize efficiency. We eliminate clutter in the customer experience, in our documentation, and in our processes, maximizing productivity.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Shenzhen, Guangdong Province, China
2-4 year
Berlin, Germany
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Dublin, Ireland
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv, Israel
2-4 year
Tel Aviv-Yafo, Israel
2-4 year
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Gda?sk, Poland
2-4 year
Bay Area, CA, USA
2-4 year
Cupertino, CA, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, TX, USA
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
United States
2-4 year
Arlington, VA, USA
2-4 year
Arlington, VA, USA
2-4 year
Austin, TX, USA
2-4 year
Bellevue, WA, USA
4-6 year
Ballston, NY, USA
2-4 year
Berlin, MD, USA
2-4 year
Bellevue, WA, USA
2-4 year
Bellevue, WA, USA
2-4 year
Boulder, CO, USA
2-4 year
Cambridge Street, Boston, MA, USA
2-4 year
California, USA
2-4 year
Charlotte, NC, U.S.
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Chicago, IL, USA
2-4 year
Cupertino, CA, USA
2-4 year
Denver, CO, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida City, FL, USA
2-4 year
Herndon, VA, USA
2-4 year
Irvine, CA, USA
2-4 year
Minneapolis, MN, USA
2-4 year
New Jersey, USA
2-4 year
Pasadena, CA, U.S.
2-4 year
Pittsburgh, PA, USA
2-4 year
Pasadena, CA, USA
2-4 year
Portland, OR, USA
2-4 year
Portland, OR, USA
2-4 year
San Diego, CA, USA
2-4 year
San Francisco Bay Area, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, Washington, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Virginia Beach, VA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Washington D.C., DC, USA
2-4 year
East Palo Alto, CA, USA
2-4 year
Florida, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
United States
2-4 year
Cape Town, South Africa
2-4 year
Austin, TX, USA
2-4 year
Chicago, IL, USA
2-4 year
Dallas, TX, USA
2-4 year
Detroit, MI, USA
2-4 year
Houston, TX, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Nashville, TN, USA
2-4 year
Phoenix, AZ, USA
2-4 year
Salt Lake City, UT, USA
2-4 year
Tempe, AZ, USA
2-4 year
London, UK
2-4 year
United States
2-4 year
Herndon, VA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Bellevue, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Santa Clara, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
4-6 year
Dallas, TX, USA
2-4 year
London, UK
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Vancouver, BC, Canada
2-4 year
Boston, MA, USA
2-4 year
United States
2-4 year
Cupertino, CA, USA
2-4 year
Austin, TX, USA
4-6 year
Vancouver, BC, Canada
10-12 year
San Francisco, CA, USA
4-6 year
Toronto, ON, Canada
8-10 year
Washington D.C., DC, USA
2-4 year
San Francisco, CA, USA
4-6 year
Mono Hot Springs, CA, USA
4-6 year
Washington D.C., DC, USA
4-6 year
Arlington, VA, USA
6-8 year
Herndon, VA, USA
6-8 year
Seattle, WA, USA
6-8 year
Arlington, VA, USA
6-8 year
Herndon, VA, USA
6-8 year
Houston, TX, USA
6-8 year
Dallas, TX, USA
6-8 year
San Francisco, CA, USA
4-6 year
Seattle, WA, USA
4-6 year
Chicago, IL, USA
4-6 year
New York, NY, USA
4-6 year
Los Angeles, CA, USA
4-6 year
Mountain View, CA, USA
4-6 year
San Francisco, CA, USA
6-8 year
Santa Clara, CA, USA
6-8 year
Seattle, WA, USA
4-6 year
San Francisco, CA, USA
8-10 year
Miami, FL, USA
4-6 year
Santa Clara, CA, USA
6-8 year
Washington D. C., DC, USA
6-8 year
San Francisco, CA, USA
4-6 year
Arlington, VA, USA
4-6 year
Santa Clara, CA, USA
4-6 year
Washington D. C., DC, USA
4-6 year