Applied Scientist II, Console Science

Amazon Development Center U.S., Inc.; Santa Clara (CA); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Amazon Development Center U.S., Inc. is seeking passionate Applied Scientists with a strong machine learning background to help build industry-leading conversational AI systems.

You will work alongside experts to develop novel algorithms for NLU, dialog systems, and Generative AI with LLMs, impacting millions of users across AWS products. You will gain hands-on experience with large-scale data, distributed computing, and cutting-edge language technologies, collaborating across teams to advance

Qualifications

• PhD or MS with 4+ years in CS/ML is required.
• Strong background in NLP, NLU, or dialog systems.
• Experience with Java, C++, Python and large-scale ML systems.

Responsibilities

• Develop ML and NLP models for conversational AI.
• Publish results and contribute to patents/publications.
• Collaborate with cross-functional teams for deployment at scale.

Skills

ML Modeling

NLP/LLMs

Distributed computing

Python

Java/C++

Education

PhD in CS/ML

MS in CS/CE/ML

Tools

Java

C++

Python

Job description

We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML).

You will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.

We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.

A day in the life

The team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.

If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.

We are open to hiring candidates to work out of one of the following locations:

Santa Clara, CA, USA

About the team

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Hybrid Work

We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.

Basic Qualifications:

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications:

• Experience using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards