Description

Our mission for Search Assistance is to help customers express their intents and navigate them to the right Amazon destinations worldwide (WW). We own three customer-facing features on all devices types WW: Autocomplete, Spelling Correction, and Related Searches. When customers place their cursor on the search bar before typing, we help them pick up from where they left off by showing their recent searches and inspire them by displaying trending searches in Autocomplete. As they start typing, we help them by completing their queries to reduce search efforts and enhance their conversational experience. We also enable direct navigation to other relevant Amazon destinations such as Health Services, Brand Stores, and Influencer pages. We detect and correct misspelled prefixes and queries submitted by customers, offer spelling correction suggestions or providing auto-correction. When customers scroll to the bottom of the search page, we present Related Searches to help them easily reformulate their current queries. Overall, We aspire to understand customers’ intents and help them in (re)formulating those intents to reduce their search and exploration efforts. We used State-of-the-Art (SOTA) techniques like Large-Language-Models (LLMs) and other GenAI/Deep Learning/Machine Learning technology to deliver for our customers.

Key job responsibilities

In this role, you will build systems that can disambiguate customer intent using real-time customer engagements, while ensuring the underlying algorithms are interpretable and their decisions are explainable to non-technical audiences. You will also build systems that will help customers express their intent and navigate them to the right Amazon destination.

On a day-to-day basis, you will:

• Design, develop, and evaluate highly innovative, scalable models and algorithms.

• Design and execute experiments to determine the impact of your models and algorithms

• Work with product and software engineering teams to manage the integration of successful models and algorithms in complex, real-time production systems at very large scale

• Share knowledge and research outcomes via internal and external conferences and journal publications

• Project manage cross-functional Machine Learning initiatives

About the team

At Amazon Search, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), 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.

Basic Qualifications

• 3+ years of building machine learning models for business application experience

• PhD, or Master's degree and 6+ years of applied research experience

• Experience programming in Java, C++, Python or related language

• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

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

• Excellent communication, both verbal and written

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.