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Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- For graduates completing or recently completing a PhD; no specific number of years stated.
- Education
- PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.
About the job
Develop machine-learning algorithms to detect e-commerce risks and low-quality content, improve merchant and product identification, and optimize large-model and audit systems.
What you'll do
- Build algorithms to detect risks, violations, fraud, and low-quality products, content, merchants, and creators.
- Improve large-scale brand, product, and content deduplication and clustering, and develop e-commerce-domain large-model data and alignment approaches.
- Explore reinforcement learning and operations research for intelligent dispatching and audit scheduling.
What they ask for
- Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.
- Proficient in Python, Go, or C++, with solid coding skills and ability to develop in a Linux environment.
- Strong foundation in data structures, algorithms, machine learning, and deep learning, with practical experience.
- Familiarity with 1–2 areas including NLP, computer vision, multimodal, graph or search algorithms, text/data mining, or LLM.
Nice to have
- Experience in platform governance, audit, risk control, content security, or overseas internet/e-commerce business.
- Good teamwork and communication skills.
Tools
Linux, Python, Go, C++
AI focus
E-commerce risk and quality detection, large-model data construction and instruction fine-tuning, CoT and alignment, and reinforcement learning for audit scheduling.
Model-written summary · the original posting is authoritative