Research Intern- Natural Language Processing

Company

SHEIN Technology LLC

Location

Remote

Type

Full Time

Job Description

Job Title: Research Intern - Natural language processing
Reports to: Machine Learning Team Lead
Job Location: San Francisco Bay Area
About SHEIN Technology
SHEIN Technology is a U.S. technology company. Founded in 2012, SHEIN is a leading global online retailer with operations in Guangzhou, Los Angeles and Singapore, along with other key markets. SHEIN reaches consumers across more than 150 countries and regions around the world. We place a premium on choice, delivering more than 6,000 new fashion, beauty and lifestyle products daily with more than 600,000 items available. Our mission is to help people express their individuality through the latest trends that are accessible and affordable. To learn more about SHEIN, follow us at shein.com, instagram.com/sheinofficial and youtube.com/shein.
Position Summary
SHEIN Technology is seeking a research intern with Natural Language Processing background to explore the innovation of NLG (Natural Language Generation) technology with e-commerce products. You will be working on building innovative NLG models potentially fit to SHEIN products.
Responsibilities:
Ï Get familiar with SHEIN product, models and data
Ï Explore the cutting edge NLG research area and build models/services potentially fit to SHEIN products
Skills and Qualifications
Ï Master's degree or above (Ph.D. preferred) in Computer Science or related fields
Ï Proficient in at least one or more of the programming languages such as C++, Python
Ï Familiar with one or more of the following concepts - deep learning, NLP, NLG
Ï Eager to explore new technologies or related research field
Good to have
• Experience with ChatBot or similar product
• Hive, Kafka, Hbase, Apache Flink
We're hybrid 2 days in the office now but transitioning into the office only work model by Summer 2023.
SHEIN Technology is an equal opportunity employer committed to a diverse workplace environment.
Pay Grade: $80,000-$95,000
Apply Now

Date Posted

03/16/2023

Views

12

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