Responsibilities

TikTok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel. All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better returns. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: - Contribute to core ads targeting algorithms, including: - User Modeling: user interest/intent representation, embeddings, sequential behavior modeling, feature engineering - Lookalike Modeling: seed audience expansion, similarity learning, retrieval & ranking strategies, cold-start handling - Auto Targeting: automatic targeting selection/expansion, explore-exploit strategies, multi-objective optimization (performance/cost/reach) - Support offline training and evaluation pipelines: sampling, feature building, training, metrics and visualization - Assist with online A/B testing and analysis; track key KPIs (CTR/CVR/CPA/ROAS) and troubleshoot issues - Collaborate with product/data/engineering to productionize models in the ads delivery stack (retrieval, prediction, bidding/budget constraints, delivery strategies)

Qualifications

Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Mathematics, Statistics or a related discipline. - Strong coding skills in Python; C++/Go is a plus - Solid ML/DL/LLM fundamentals (LR/GBDT, DNNs, LLM, evaluation, regularization, tuning) - Comfortable with data tools (SQL, Pandas); Spark/Flink/Hive is a plus - Passionate about ads/recommenders/growth and learning business metrics Preferred Qualifications: - Experience in ads targeting, recommender systems, search, retrieval/ranking, representation learning, causal/experimentation - Hands-on with PyTorch/TensorFlow; familiarity with production inference - Large-scale data processing, feature platforms, vector search (ANN) By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $128000 - $256000 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.