Machine Learning Engineer Graduate; Search E-Commerce BS​/MS

Machine Learning Engineer Graduate (Search E-Commerce) - 2026 Start (BS/MS)

Location:

San Jose

Employment Type:

Regular

Job Code: A135780A

• Improve basic search quality and user experience: optimize query analysis and text relevance matching.
• Understand e‑commerce video content and implement multi‑modal matching; improve users’ perception of product authority and participate in design and implementation of core search products.
• Comprehensively improve the end‑to‑end shopping experience from browsing to after‑sales.
• Design and implement the end‑to‑end ranking system—including recall, first‑stage ranking, final‑stage ranking and mixed rows—to improve users’ personalized shopping interest model.
• Improve shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
• Promote healthy development of the ecosystem by solving challenging problems such as supply and demand matching, business cold start, and sustainable business growth from an industry and business perspective.
• Think, analyze and adjust the evolution of the system to achieve long‑term and sustainable growth of GMV.

• Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Familiar with recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning.
• Strong proficiency in Python and/or C/C++ and familiarity with a machine learning framework; solid knowledge of data structures and algorithms.
• Excellent analytical, modeling, and problem‑solving skills, able to distill essence from complex data.
• Publication records in journals or conferences are a plus.
• Experience winning ACM‑ICPC medals is a plus.

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The base salary range for this position in the selected city is $122,574 - $256,000 annually.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Successful candidates must be able to commit to an onboarding date by the end of year 2026.