Responsibilities
We are TikTok Monetization Ad Growth Team, dedicated to creating an exceptional advertising experience and intelligent growth marketing strategies for global advertising clients. Here, you will engage with challenging technical domains such as large-scale user systems, diverse advertising fields (ad creation, material optimization, delivery strategy, attribution, measurement, etc.), AI-driven personalized recommendations and growth strategies, and massive client profiling powered by LLM and big data. We are seeking like-minded individuals to join us in leveraging technology to help global small and medium-sized business (SMB) advertisers effectively connect with customers, achieve business success, and drive the rapid growth of TikTok's advertising business!
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Responsibilities:
1.Shape TikTok Monetization's growth through the development of personalized strategies such as coupons, internal advertising, and intelligent suggestions. This role directly influences the company's P&L and monetization roadmap.
2.Work with cross-functional teams to design cutting-edge machine learning models aimed at enhancing SMB advertisers' performance. This includes predicting key performance indicators like click-through rates and conversion rates, leveraging data and technology to drive business outcomes.
3.Build TTAM (TikTok Ads Manager) Copilot by integrating LLMs into our products and services to improve advertiser engagement. Tasks include developing Generative-AI based QAs, recommending auto-creation strategies, and developing conversational creation flows, all contributing to user satisfaction and engagement.
Qualifications
Minimum Qualifications:
1. Master's degree in Computer Science, Engineering, Mathematics, or a related field.
2. Experience with machine learning, in either an academic or industrial setting.
3. Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc.
4. Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).
5. Experience with big data technologies, such as Hadoop, Spark, or Hive.
6. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems.
7. Very strong teamwork skills (e.g. communication, collaboration, ownership, empathy, honesty).
Preferred Qualifications:
1. PhD in Computer Science, Engineering, Mathematics, or a related field.
2. Experience in developing industrial advertising systems and recommendation systems.
3. Experience with LLM and AIGC.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $194000 - $355000 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.