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Engineer Graduate: (Machine Learning Engineer, Data-Search- Recommendation - Seattle

Job in Seattle, King County, Washington, 98127, USA
Listing for: TikTok
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
Position: Engineer Graduate: (Machine Learning Engineer, Data-Search-TikTok Recommendation - Seattle) - 2[...]
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Responsibilities

The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for Tik Tok'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 Tik Tok users worldwide.

Our mission: to create a world where "there are no hard-to-sell, overpriced products."

Responsibilities

The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for Tik Tok'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 Tik Tok users worldwide.

Our mission: to create a world where "there are no hard-to-sell, overpriced products."

Responsibilities:

Participate in the improvement of the search core algorithm, possible directions include:

• Content understanding/matching:
Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of Tik Tok search.

• User Behavior Modeling: solving the recommendation problem in search, let Tik Tok search increase the ability of personalization on the basis of "relevant", and understand users better.

• Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.
Qualifications

Minimum qualification:

• Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

• Proficient coding skills and strong algorithm & data structure basis.

Effective communication and teamwork skills.

• Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.
Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $$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…
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