Senior Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

We're looking for innovative Senior Machine Learning Engineers to develop state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better returns on investment for advertisers.

What will you do:
- Develop, refine and optimize ML/DL models to improve CTR, CVR, and ROI predictions, ensuring scalability and robustness in large-scale global deployments.
- Establish scalable system frameworks and performance benchmarks that continuously improve delivery efficiency while supporting the unique needs of various vertical businesses.
- Understand ads platform objectives and take full advantage of modern machine learning to improve ads quality, relevancy, and select the best ads formats delivered to end-users.
- Maintain system stability, data privacy, and compliance with global regulations, ensuring a secure and trustworthy advertising ecosystem.
- Share knowledge and best practices within the team, mentor junior engineers, and contribute to the company's long-term technological strategy.

Qualifications

Minimum Qualifications:
- BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with sophisticated industry experience and model optimization experience.
- Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
- Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods.
- Good analytical and out-of-box thinking capabilities. Have strong transferrable skillsets/knowledge for recommendation, search, ranking, personalization or other relevant monetization scenarios.
- Solid theoretical grounding in deep learning concepts and techniques.
- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.
- Sound collaboration skills, with the ability to work effectively with cross-functional teams across different locations and time zones for global business needs.

Preferred Qualifications:
- Strong business acuman and technical decision-marking capabilities in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).
- Experience in resource optimization and task scheduling with large scale distributed software (such as Spark and TensorFlow).

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $187040 - $280000 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.