Senior Machine Learning Engineer

SHEIN Technology LLC · Peninsula

Company

SHEIN Technology LLC

Location

Peninsula

Type

Full Time

Job Description

Job Title: Senior Machine Learning Engineer I (Computer Vision)
Reports to: Machine Learning Team Lead
Job Location: Palo Alto, CA
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.
The SHEIN AI Team empowers global e-commerce operations and supply chain production through world-leading artificial intelligence technology. Utilizing natural language processing, image processing, deep learning, and operations optimization, we enable and enhance various business aspects. Currently, our capabilities span AI-driven applications such as search and recommendation, as well as intelligent supply chain solutions. Looking forward, the SHEIN AI Team remains committed to exploring forefront global AI and big data technologies.
By joining us, you'll engage in deep learning exchanges with a world-class AI team, gain insights into cutting-edge technological directions that serve real-world business needs, and create value across diverse domains.
Position Summary:
SHEIN Technology is seeking Senior Machine Learning Engineers to work on computer vision related projects. You will be contributing to our core technology and business.
Responsibilities:
• Develop the system of product review.
• Work on product image counterfeit detection modeling.
• Work on sensitive logo/pattern detection from the product image.
• Work on end to end machine learning model training and system.
• Develop key metrics to track the performance and collaborate with the engineering team, user experience team to meet the business goals.
• Participate in the full development cycle: design, develop, deploy, experiment and analysis
Skills and Qualifications:
• Master's degree or above (Ph.D. preferred) in Computer Science or related fields
• Proficient in at least one or more of the programming languages such as C++, Python
• Familiar with one or more of the following concepts - deep learning, NLP, computer vision, data mining, recommendation, ML infrastructure etc.
• Possess strong analytical and problem-solving capabilities and keen to solve challenging problems
• 3+ years (or 1+ year with PhD degree) of professional experience in developing ML models
Good to have
• Experience with e-commerce industry or related field
• Hive, Kafka, Hbase, Apache Flink
Pay: $158,700.00 min. - $284,800.00 max annually, Bonus & RSU offered.
SHEIN Benefits and Culture:

  • Healthcare (medical, dental, vision, prescription drugs)
  • Health Savings Account with Employer Funding
  • Flexible Spending Accounts (Healthcare and Dependent care)
  • Company-Paid Basic Life/AD&D insurance
  • Company-Paid Short-Term and Long-Term Disability
  • Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
  • Employee Assistance Program
  • Business Travel Accident Insurance
  • 401(k) savings plan with discretionary company match and access to a financial advisor
  • Vacation, Paid holidays and sick days
  • Employee Discounts
  • Perks (HQ Location)
  • Free weekly catered lunch at HQ
  • Dog-Friendly office
  • Free Gym Access at HQ
  • Free Swag Giveaways
  • Annual Holiday Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages
  • Free Shuttle Service from HQ to LA Union Station


SHEIN Technology is an equal opportunity employer committed to a diverse workplace environment.

Apply Now

Date Posted

11/18/2023

Views

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