Machine Learning Engineer - Search Recommendation, E-commerce Search Growth

Amazon.com, Inc.

Seattle, WA, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$82,700.0 - $131,600.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

Data Structures Machine Learning Recommender Systems Information Technology Multiaccess Edge Computing Software Coding

Job description

On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving. About the Team: The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok’s rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we’re shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where “there are no hard-to-sell, overpriced products.” Responsibilities - What You’ll Do:

Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.

Requirements

3+ years of work experience in machine learning. Good product sense with a focus on user experience and E-commerce business.

Bachelor or advanced degree in computer science or a related technical discipline. Preferred Qualifications
Excellent coding skills. Solid knowledge of data structure and algorithms.
Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.