6 jobs for "Senior Machine Learning Engineer, Recommendation - TikTok eCommerce"

Senior Machine Learning Engineer, Recommendation - TikTok eCommerce

At TikTok - San Jose

Posted on Aug 7

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Senior Machine Learning Engineer, Recommendation - TikTok eCommerce

At TikTok - Seattle

Posted on Nov 6

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Senior Machine Learning Engineer, Global E-Commerce - Recommendation (Multiple Positions)

At TikTok - Seattle

Posted on Sep 11

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Senior Machine Learning Engineer - Search Recommendation, E-commerce Search Growth (Seattle)

At TikTok - Seattle

Posted on May 15

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Senior Machine Learning Engineer, E-commerce Feed Recommendation

At TikTok - San Jose

Posted on Apr 16

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Senior Machine Learning Engineer - Search Recommendation, E-commerce

At TikTok - San Jose

Posted on Apr 7

View job Apply on company site

TikTok

Senior Machine Learning Engineer - Search Recommendation, E-commerce Search Growth (Seattle)

Seattle$207,480 – $368,220Posted May 15, 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

About the Team:
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where "there are no hard-to-sell, overpriced products."

Responsibilities - What You'll Do:
- Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
- Provide guidance and mentorship to fellow teammates.

Qualifications

Minimum Qualifications
- 5+ years of work experience in machine learning.
- Good product sense with a focus on user experience and E-commerce business.
- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
- Bachelor or advanced degree in computer science or a related technical discipline.

Preferred Qualifications
- Excellent coding skills. Solid knowledge of data structure and algorithms.
- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $207480 - $368220 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
- 5+ years of work experience in machine learning.
- Good product sense with a focus on user experience and E-commerce business.
- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
- Bachelor or advanced degree in computer science or a related technical discipline.

Preferred Qualifications
- Excellent coding skills. Solid knowledge of data structure and algorithms.
- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

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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