Machine Learning Engineer Intern; E-commerce Governance Algorithms PhD

Machine Learning Engineer Intern (E-commerce Governance Algorithms) - 2026 Start (PhD)

Location:

Seattle

Team:
Technology

Employment Type:

Intern

Job Code: A117309A

• Work with a team to design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators.
• Collaborate with strategy team, product managers, policy team and ops team to help define products and drive initiatives from engineering viewpoints.

• Currently pursuing a PhD degree in Computer Science or a related technical field.
• Understanding or keen interest in machine learning, NLP, or computer vision.
• Familiarity with programming languages such as C++, Python, Go, or Java.

• Interest or experience in anti‑fraud, anti‑spam, platform‑integrity, or similar fields.
• Proven sense of responsibility, exceptional communication and teamwork skills.

The hourly rate range for this position in the selected city is $57- $57.

Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.

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