At Amazon, we empower our builders to create the extraordinary, allowing them to deliver packages to your doorstep while scaling these capabilities for millions of customers. We are on the lookout for an Applied Scientist to enhance our discovery strategy for Amazon's expansive knowledge base.

Key Responsibilities:

• Utilize deep learning, machine learning, and NLP techniques to develop scalable solutions focused on language model-centric systems that create personalized assistant experiences from diverse structured and unstructured contextual signals.
• Innovate methods for contextual knowledge extraction and information retrieval, combining language models with other learning techniques, ensuring efficient grounding concerning memory, compute, latency, and quality.
• Conduct research on advanced customer understanding and behavior modeling techniques.
• Collaborate with cross-functional teams of engineers, product managers, and scientists to tackle complex challenges in personal knowledge aggregation, processing, modeling, and verification.
• Design and execute experiments to assess the performance of state-of-the-art algorithms and models, iterating quickly to achieve improved results.
• Effectively communicate findings and insights to both technical and non-technical audiences through presentations and written reports.

A Day in Your Role:

The Amazon Software Builder Experience (ASBX) organization aims to create the ultimate builder experience for our skilled software engineers across all Amazon businesses (e.g., AWS, Amazon Stores). This position is ideal for you if you are passionate about software development, discovery tools, and making a global impact at Amazon! We believe in achieving results while also fostering a workplace that values work-life balance, enjoying camaraderie with colleagues, and supporting an inclusive and collaborative environment.

About Our Team:

As part of the AWS Utility Computing division, we provide groundbreaking product innovations ranging from foundational services like Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to newly released features that distinguish AWS in the industry. By joining the Utility Computing organization, you will support various services including Compute, Database, Storage, IoT, and beyond, addressing the needs of customers who require tailored security solutions for their cloud offerings.

Basic Qualifications:

• PhD, or a Masters degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
• Experience with patents or publications in leading peer-reviewed conferences or journals.
• Proficiency in programming languages such as Java, C++, Python, or similar.
• Familiarity with algorithms, data structures, parsing, numerical optimization, data mining, and high-performance computing.

Preferred Qualifications:

• Experience using Unix/Linux systems.
• Professional software development experience.
• 3+ years of experience building machine learning models for business applications.

At Amazon, we are committed to fostering a diverse and inclusive workplace, and we are proud to be an equal opportunity employer. We encourage individuals from all backgrounds to apply, regardless of differences in race, national origin, gender identity, sexual orientation, disability, age, or any other legally protected status.

The base pay for this position ranges from $136,000/year in our lowest geographic market to $222,200/year in our highest geographic market. Pay factors include job-related knowledge, skills, and experience.

This position will remain posted until filled. Interested applicants should apply through our internal or external career site.