About TikTok
TikTok is the leading destination for short-form mobile video. Their mission is to inspire creativity and bring joy. TikTok has global offices, including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Job Description
The Ads Traffic Strategy and User Experience team at TikTok uses various levers and advertising spaces to adjust global and personalized distribution of ads traffic, optimize supply and demand, and achieve revenue targets while meeting regional, national, and supply restrictions. By modeling active and passive user feedback signals, they improve the quality of advertising delivery and optimize traffic efficiency to protect users from unexpected and inappropriate advertising content, and improve user ads experience and retention.
The selected candidate will:
- Build highly scalable machine learning systems/models to improve ads ranking results.
- Explore, develop, and experiment with new features to improve model accuracy.
- Understand advertisement platform objectives and take full advantage of modern machine learning to improve ad quality, relevancy, and select the best ad formats delivered to end-users.
- Develop robust core systems and algorithms, including ads format selection system, ads ranking system, model serving system, etc.
Skills and Qualifications
- Currently pursuing a Bachelor’s/Master’s Degree in Computer Science, Mathematics, Statistics, or a related technical discipline with 2+ years of research or machine learning modeling experience.
- Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structures and algorithms. Familiar with Linux development environment.
- Good analytical thinking capability. Essential knowledge and skills in statistics.
- Good 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.
Preferred Qualifications:
- PhD candidate focused on a statistical learning related field.
- Good knowledge in one of the following fields: Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning.
- Basic understanding of large recommendation systems and ads serving system concepts.
Duration and Location
This is a 12-week internship, starting in May/June 2024, located in San Jose, California.
Compensation
The hourly rate range for this position in San Jose is $45 – $45. TikTok covers 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire. Medical coverage only, no dental or vision coverage.
Time off and leave plans include paid holidays and paid sick leave. The sick leave entitlement is based on the time of joining.
TikTok also provides mental and emotional health benefits through their Employee Assistance Program and reimbursements for mobile phone expenses.
Application Process
Applications will be reviewed on a rolling basis, and candidates are encouraged to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order they apply. The application limit is applicable to TikTok and its affiliates’ jobs globally.
Candidates who pass resume evaluation will be invited to participate in TikTok’s technical online assessment on HackerRank.
Equal Opportunity Statement
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Their platform connects people from across the globe, and so does their workplace. At TikTok, their mission is to inspire creativity and bring joy. To achieve that goal, they are committed to celebrating diverse voices and creating an environment that reflects the many communities they reach.
TikTok is committed to providing reasonable accommodations in their recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.
Contact Information
For any inquiries or if you need assistance or a reasonable accommodation, please reach out to TikTok.
By submitting an application for this role, you accept and agree to TikTok’s global applicant privacy policy, which may be accessed here
