11 jobs for "Machine Learning Engineer, Ecommerce Risk Control"

Machine Learning Engineer Intern (E-Commerce User Growth) - 2027 Summer

At TikTok - Seattle

Posted on Oct 14

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Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start (PhD)

At TikTok - Seattle

Posted on Oct 9

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

At TikTok - Seattle

Posted on Oct 9

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Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start

At TikTok - San Jose

Posted on Oct 9

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Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start

At TikTok - Seattle

Posted on Oct 9

View job Apply on company site

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

At TikTok - San Jose

Posted on Oct 9

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Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Oct 9

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Software Engineer - Intern (TikTok BRIC) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Nov 7

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Machine Learning Engineer - Intern (TikTok BRIC) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Nov 4

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Machine Learning Engineer - Emerging Business - TikTok BRIC

At TikTok

Posted on Oct 29

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Security Engineer, Risk Adversary and Intel Discovery - TikTok BRIC

At TikTok

Posted on Oct 9

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TikTok

Machine Learning Engineer Intern (E-Commerce User Growth) - 2027 Summer

SeattlePosted 24 days ago

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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

The TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Responsibilities:
- Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.
- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.
- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.
- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications:
- Currently pursuing a Undergraduate degree in Software Development, Computer Science, Computer Engineering or a related discipline.
- Solid ML and engineering fundamentals: you understand the math behind the models, and you write clean, efficient, reproducible code with a strong command of algorithms and data structures.
- Deep research or engineering practice in at least one of: LLMs / foundation models, NLP, CV, RL, or recommendation / search / ads - and you can articulate why you made the choices you made, and where they fell short.
- Genuine enthusiasm for LLM / LRM techniques: you want frontier methods live in production, not parked at offline metrics.
- Strong problem definition and decomposition: faced with an ambiguous problem that has no standard answer, you find your own foothold.

Preferred Qualifications:
- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions
- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Currently pursuing a Undergraduate degree in Software Development, Computer Science, Computer Engineering or a related discipline.
- Solid ML and engineering fundamentals: you understand the math behind the models, and you write clean, efficient, reproducible code with a strong command of algorithms and data structures.
- Deep research or engineering practice in at least one of: LLMs / foundation models, NLP, CV, RL, or recommendation / search / ads - and you can articulate why you made the choices you made, and where they fell short.
- Genuine enthusiasm for LLM / LRM techniques: you want frontier methods live in production, not parked at offline metrics.
- Strong problem definition and decomposition: faced with an ambiguous problem that has no standard answer, you find your own foothold.

Preferred Qualifications:
- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions
- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

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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