9,925 jobs for "Expert"

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At TikTok - San Jose

Posted on Apr 17

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Research Scientist Intern- E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok - Seattle

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At TikTok - Seattle

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Research Scientist Intern - Risk Control Vertical LLM Foundation and Agent - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok

Posted on Apr 16

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Research Scientist Intern - End-to-End Generative Search Technology Based on Pre-Trained Foundation Models - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok

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Research Engineer Intern (AI Infrastructure) - Large Model Applications - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok

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Research Scientist Intern - LLM Applications for International E-commerce Scenarios - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

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Sr Principal Product Engineer

At Cadence Design Systems - Noida

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At TikTok - Taguig

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SoC Digital Verification Engineer, Multimedia Lab

At TikTok - San Jose

Posted on Apr 2

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TikTok

Research Scientist - LLM Applications on Search/Ads/Recommendation - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

San Jose$162,000 – $387,600Posted Apr 17, 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

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

Team Introduction: As the Data-Arch team, we serve as a dynamic and innovative pillar of TikTok's ecosystem, dedicated to bridging the gap between users and high-quality products. Our team is responsible for the end-to-end design, development, and optimization of the recommendation infrastructure that powers our global e-commerce and content platforms. By building robust, scalable architectures, we ensure a stable and seamless user experience, even under the most demanding loads. Comprised of specialized experts focused on various facets of system health and efficiency, we work collectively to refine the recommendation systems that define the TikTok experience, ensuring every interaction is both reliable and personalized.

Topic Content: As business scenarios become increasingly complex, search, advertising, and recommendation are facing significant challenges. While large models can accurately capture user preferences and enhance personalization as well as content quality, they also impose stringent requirements on real-time performance, stability, and scalability. This introduces substantial technical challenges in areas such as distributed training, inference acceleration, heterogeneous hardware utilization, and multimodal data processing.
At the same time, the rapid growth in model scale and the proliferation of multimodal data have made it difficult for existing infrastructure to meet the demands of data processing efficiency and resource utilization. This topic focuses on system and engineering innovations to overcome key technical bottlenecks and build efficient, stable, and scalable large-model solutions, providing a robust technical foundation for search, advertising, and recommendation scenarios.

Responsibilities:
- Build and maintain high performance online services for TikTok recommendation and search system to support various types of products, such as For You Feed, E-commerce, Social, etc.
- Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
- Build globalized large-scale recommendation system;
- Design and develop high performance computing frameworks and storage systems.

Qualifications

Minimum Qualification(s):
- Individuals who are completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Research background in ML/AI, with a focus on inference optimization, model acceleration, or efficient ML systems.
- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Python.
- Problem-solving skills, self-driven learning mindset, and effective communication.

Preferred Qualification(s):
- Demonstrated ability to translate research into practical system implementations.
- Experience (academic or practical) in areas such as advertising or recommendation systems, search, distributed systems, or big data processing.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $387600 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 Qualification(s):
- Individuals who are completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Research background in ML/AI, with a focus on inference optimization, model acceleration, or efficient ML systems.
- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Python.
- Problem-solving skills, self-driven learning mindset, and effective communication.

Preferred Qualification(s):
- Demonstrated ability to translate research into practical system implementations.
- Experience (academic or practical) in areas such as advertising or recommendation systems, search, distributed systems, or big data processing.

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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