Applied Scientist - Conversational AI

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, C++, SQL, AWS, Machine learning techniques, Perl Programming, Deep Learning, MATLAB Programming, Natural Language Processing (NLP), R Programming, Statistics, Algorithms, Large scale data processing, Mathematics, Terabyte scale datasets, Data Analysis

Job Description

Do you want to work on cutting edge research in conversational AI, natural language processing, deep learning and machine learning to make the AI revolution happen? Do you want to publish your work at top AI conferences? Come join the world class researchers and academics in the AWS AI endeavor, and develop the science that powers countless new businesses in cloud computing!

AWS, the world-leading provider of cloud services. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.

Our research themes include, but are not limited to: conversational AI, information extraction, entity resolution, large-scale language pre-training, summarization, etc.

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.

BASIC QUALIFICATIONS

• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language
• Gradutate degree in Computer Science (Machine Learning, AI, Statistics, or equivalent);
• 3+ years of practical experience applying ML to solve complex problems;
• Algorithm and model development experience for large-scale applications;
• Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

PREFERRED QUALIFICATIONS

• PhD in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent);

• 4+ years of practical experience applying ML to solve complex problems;
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, Natural Language Processing, recommendation systems, dialogue systems, information retrieval;
• Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar);
• Proven track record of production achievements, handling gigabyte and terabyte size datasets;
• Strong fundamentals in problem solving, algorithm design and complexity analysis;
• Strong Publication record at top conferences and journals