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Open nowFirst seen 2 hours ago

Machine Learning Engineer Intern (E-Commerce Governance) - 2027 Start (PhD)

TikTok4,272 open roles

Where
San Jose, California, United States of America
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Your applicationOpen nowMachine Learning Engineer Intern (E-Commerce Governance) - 2027 Start (PhD)TikTok · San Jose, California, United States of America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on TikTok's own form.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. TikTok postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: first seen 2 hours ago

TikTok median: 6 days open

The posting

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).

Responsibilities: - 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

Minimum Qualifications: - 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.

Preferred Qualifications: - 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.

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