Responsibilities
About the Team
Our Search Team is responsible for building and owning TikTok's search engine, which provides our users the best search experience.
On the TikTok Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Responsibilities:
• Optimize the searching quality to provide TikTok's users the best search experience
• Combine your understanding of product objectives and take full advantage of modern machine learning and information retrieval techniques to improve search quality and perception
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• Build the core systems and algorithms development including query understanding, result ranking, query recommendation, system reliability, and etc.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Qualifications
Minimum Qualifications:
• BS degree in Computer Science, Computer Engineering, or other relevant majors
• At least 2+ years of experience in developing and implementing large-scale consumer-facing services/products and/or building backend services for large-scale consumer-facing applications
• Proficiency in the following languages but not limited to: C/C++, Python, Java or Golang
• Effective team communication and collaboration skills.
Preferred Qualifications:
• Working knowledge in one of the following or similar domains: search, recommendation, ranking, ads, etc.
• Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack
• Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $145000 - $250000 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.