Machine Learning Engineer Intern; E-Commerce Governance PhD) San Jose PhD Intern

San Jose

Intern

A204225

The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology:

• Combat any kinds of risks/violations issues in E-commerce scenarios.
• Build an E-commerce ecosystem and improve platform service capabilities.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands‑on learning, enriching community‑building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early.

Please clearly state your availability in your resume (Start date, End date).

• 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 in Software Development, Computer Science, Computer Engineering or a related discipline.
• An 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 would be a cherry on top.
• A profound sense of responsibility, coupled with exceptional communication and teamwork skills.

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. 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.

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

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:

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