2 jobs for "Machine Learning Engineer (Content Ecology & Creator) -E-commerce Governance"

Senior Machine Learning Engineer, LLM & Agentic AI - TikTok - Content Ecology Local Services - TikTok Content Ecology

At TikTok - San Jose

Posted on Aug 28

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AI Machine Learning Engineer - Graduate (TikTok Content Ecology) - 2027 Start (PhD) - Graduate (TikTok Content Ecology) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 4

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TikTok

Senior Machine Learning Engineer, LLM & Agentic AI - TikTok - Content Ecology Local Services - TikTok Content Ecology

San Jose$218,400 – $480,000Posted Aug 28, 2026

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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 Content Ecology team builds the core algorithm systems for content understanding and ecosystem governance on TikTok. Drawing on platform-scale video content and interaction signals, we apply multimodal large models, natural language processing, computer vision, and recommendation systems to build a content foundation platform supporting search, local services, product infrastructure, PGC, and UGC across TikTok's global business.

Our work spans three areas:
1. Unified content understanding. We use multimodal large models for fine-grained semantic parsing of video, building a cross-category, multilingual labeling and event knowledge system that provides reliable foundations for search, recommendation, and safety.
2. Platform-level content governance. We develop high-precision recognition and review models that handle billions of pieces of content daily, addressing low-quality and non-compliant material and supporting compliance requirements for goods and content in areas such as local services.
3. Business growth and user experience. Through trending discovery, inspiration recommendations, and intelligent customer service, we serve creators and users worldwide, improving distribution efficiency, the precision of creative recommendations, and the speed of customer service response.

We work on understanding hundreds of languages and processing multimodal data at hundred-billion scale, in a global business that keeps growing. You will apply NLP, multimodal, and large model technology at real-world scale, seeing your work reach hundreds of millions of users.

About the Team
The Content Ecology Algorithm Team drives TikTok's AI innovations in LLMs/MLLMs, NLP, Computer Vision, Multimodal learning, Agentic AI, and recommendation algorithms. We develop cutting-edge AI capabilities that power multiple business lines.

You will tackle unique algorithm challenges in building products for a global audience. Our platform's diverse content and worldwide user base create a wealth of opportunities for AI applications. With rapidly growing businesses such as TikTok Local Services, you'll have the chance to bring cutting-edge AI innovations into real-world production.

Responsibilities
- Drive the research and development of core algorithms for TikTok Local Services, leveraging LLMs/MLLMs, Agentic AI, NLP, Computer Vision, conversion modeling, global optimization, and causal uplift modeling.
- Develop deep semantic representations and structured models of content, products, and user intent, while building foundational capabilities across product knowledge graphs, intent understanding, and end-to-end intelligent transaction optimization.
- Continuously enhance both supply- and demand-side experiences to drive sustainable growth in transaction conversion.
- Tackle frontier technical challenges unique to local services, including multilingual and multimodal understanding, highly dynamic environments, and long-horizon sequential decision-making.
- Stay at the forefront of research, translate state-of-the-art advances into production-grade solutions, scale proven innovations, and establish reusable algorithmic foundations with broad applicability.

Qualifications

Minimum Qualifications
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering or a related technical field.
- Strong foundations in machine learning and deep learning, with a solid understanding of Transformer architectures, LLMs, multimodal large language models, and modern representation learning techniques.
- Experience in one or more relevant areas, such as NLP, computer vision, multimodal understanding, AI agents, knowledge graphs, retrieval and recommendation, conversion modeling, causal uplift modeling, or decision optimization.
- Hands-on experience with Python, PyTorch, distributed model training, and large-scale data processing, with strong algorithmic, software engineering, and production deployment capabilities.
- Proven ability to formulate and solve complex, ambiguous problems, translate research advances into scalable production solutions, and deliver measurable business impact.
- Strong cross-functional collaboration and communication skills, with a track record of driving technically complex projects to high-quality execution.

Preferred Qualifications:
- Experience building large-scale machine learning systems for e-commerce, recommendation, search, advertising, marketplaces or other transaction-oriented products.
- Experience working with multilingual, multimodal, or highly dynamic data and deploying models in large-scale production environments.
- Publications at leading conferences, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, KDD, WWW, SIGIR, RecSys, AAAI, Interspeech, or ICASSP.
- Demonstrated technical leadership through driving cross-functional initiatives, establishing reusable algorithmic capabilities, or mentoring engineers and researchers.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $218400 - $480000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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

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.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering or a related technical field.
- Strong foundations in machine learning and deep learning, with a solid understanding of Transformer architectures, LLMs, multimodal large language models, and modern representation learning techniques.
- Experience in one or more relevant areas, such as NLP, computer vision, multimodal understanding, AI agents, knowledge graphs, retrieval and recommendation, conversion modeling, causal uplift modeling, or decision optimization.
- Hands-on experience with Python, PyTorch, distributed model training, and large-scale data processing, with strong algorithmic, software engineering, and production deployment capabilities.
- Proven ability to formulate and solve complex, ambiguous problems, translate research advances into scalable production solutions, and deliver measurable business impact.
- Strong cross-functional collaboration and communication skills, with a track record of driving technically complex projects to high-quality execution.

Preferred Qualifications:
- Experience building large-scale machine learning systems for e-commerce, recommendation, search, advertising, marketplaces or other transaction-oriented products.
- Experience working with multilingual, multimodal, or highly dynamic data and deploying models in large-scale production environments.
- Publications at leading conferences, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, KDD, WWW, SIGIR, RecSys, AAAI, Interspeech, or ICASSP.
- Demonstrated technical leadership through driving cross-functional initiatives, establishing reusable algorithmic capabilities, or mentoring engineers and researchers.

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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