655 jobs for "Technology Risk Adv"

Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2027 Start

At TikTok

Posted on Aug 3

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Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2027 Start (PhD)

At TikTok

Posted on Aug 3

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Manager, Product Management (Forecasting)

At Capital One - McLean · Richmond

Posted on Jul 17

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Data Scientist (Platform Governance), TikTok E-Commerce

At TikTok

Posted on Feb 5

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Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

At TikTok - Seattle

Posted on Jul 24

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Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

At TikTok - Seattle

Posted on Nov 23

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Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

At TikTok - San Jose

Posted on Nov 23

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Director, Payments Product Management

At Mizuho Americas - New York

Posted on Sep 30

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Director, Assistant General Counsel - Technology

At Capital One - McLean · New York

Posted on Nov 8

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Forensic Technology Lead

At Diageo - Bangalore

Posted on Nov 7

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Associate, Enterprise Risk Management (Delaware/Atlanta)

At BlackRock - Wilmington

Posted on Nov 6

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Director, Technology Audit

At BlackRock - New York

Posted on Nov 4

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Enterprise Solutions Risk, Associate (New York / Atlanta)

At BlackRock - New York

Posted on Oct 30

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Front End Engineering Manager, Aladdin Wealth Technology, Vice President

At BlackRock - Mumbai

Posted on Oct 25

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Manager, Finance Risk Management

At Capital One - Richmond · McLean

Posted on Oct 25

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Principal Associate, Risk Management (Auto)

At Capital One - Plano

Posted on Sep 18

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ETF Product Developer, Associate - ETF Platform

At BlackRock - San Francisco

Posted on Nov 8

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Auditor

At Mastercard - Santiago

Posted on Nov 7

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Relationship Manager III - C&IB

At PNC Financial Services Group - Dallas

Posted on Nov 7

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Relationship Manager III - C&IB

At PNC Financial Services Group - Dallas

Posted on Nov 7

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TikTok

Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2027 Start

SingaporePosted Aug 3, 2026

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

About the Team
The team use the most advanced AI technology to combat various risks/violations in our E-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
- Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.
- Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
- Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.
- Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.
- Experience building or contributing to AI-Agent projects, including agent workflow design, tool/function calling, multi-agent collaboration, or LLM-based application development.
- Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications
- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.
- Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.
- Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.
- Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.
- Experience building or contributing to AI-Agent projects, including agent workflow design, tool/function calling, multi-agent collaboration, or LLM-based application development.
- Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications
- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.
- Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.
- Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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