Machine Learning Scientist Graduate; Global E-commerce Content Recommendation BS

Machine Learning Scientist Graduate (Global E-commerce Content Recommendation) - 2026 Start (BS/MS)

Location:

San Jose

Employment Type:

Regular

Job Code: A190004B

• Develop and deploy ML models to power personalized e-commerce recommendations.
• Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions.
• Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV.
• Focus on scaling, robustness, and production-quality deployment.

• Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficient coding skills in Python and hands‑on experience with deep learning frameworks such as Tensor Flow or PyTorch.
• Demonstrated ability to conduct rigorous research and analyze large-scale data.
• Strong problem‑solving skills and a high sense of ownership.

• Publications in ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, Rec Sys).
• Experience with recommendation systems, retrieval models, or multi-modal learning.
• Familiarity with building and deploying real‑time, scalable ML systems in production.
• Background in e-commerce or related applied AI research domains.

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

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).

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For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: