Applied Scientist, Search

Key Skills

Algorithms, Apache Hadoop, C++, Data Mining, Data structuring, Deep Learning, Java Programming, Large Language Models - LLMs, Machine learning techniques, Optimization, Python Programming, PyTorch, Scikit-learn, Spark Core, TensorFlow

Job Description

The Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.

We’re seeking an Applied Scientist with a deep expertise in matching and ranking systems. Your responsibilities will include everything from developing and prototyping innovative retrieval systems with NLP and Transformer, query planning, deep learning to operating and optimizing a scalable distributed inference solutions in a production environment. We are looking for innovators who can contribute to advancing search technology on what’s scientifically possible while remaining committed to creating world-class products.

Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), Earth's most customer-centric company one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.

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

Palo Alto, CA, USA | Seattle, WA, USA

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

• Experience in Deep Learning models

PREFERRED QUALIFICATIONS

• Experience in Information Retrieval, Vector Search, or LLMs

• Experience with modeling tools such as PyTorch, scikit-learn, Tensorflow etc.

• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.