Job
Machine Learning Engineer Graduate (Monetization Technology - Ads Core) - 2024 Start (BS/MS/PhD)
TikTok
•
1mo ago
💼 Graduate Job
San Jose
AI generated summary
- You need a background in software/CS/CE, strong programming skills in C/C++ & Python, knowledge of statistics & deep learning, and experience with machine learning frameworks. Familiarity with online advertising systems is a plus.
- You will build scalable machine learning systems to enhance ads ranking, experiment with new features, and optimize ad quality to deliver the best ad formats to users at TikTok.
Description
- We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Requirements
- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
- Good analytical thinking capability. Have essential knowledge and skills in statistics.
- Clear 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:
- Clear understanding 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)
Area of Responsibilities
Data
Responsibilities
- Build highly scalable machine learning systems/models to improve ads ranking results.
- Explore, develop and experiment with new features to improve model accuracy.
- Understand ad 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.
Details
Work type
Full time
Work mode
office
Location
San Jose