Heading
San Jose, CA
Internship
Onsite
$45/hr - $60/hr
Intern
TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer Intern to enhance commerce ads and drive ad revenue. The role involves building scalable machine learning systems, improving ad ranking quality, and collaborating with various teams to explore new shopping experiences on the platform.
Apply NowResponsibilities
- Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization.
- Explore, develop and experiment with new features to improve model accuracy.
- Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.
- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
Qualification
Required
- Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with related work experience.
- Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
- Good analytical thinking capability. Have essential knowledge and skills in statistics.
- Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).
- Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.
Preferred
- Good 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, Demand/Inventory, DSP/RTB).
- Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
- Relevant work or research experiences in search and recommendation.
Benefits
- Day one access to health insurance
- Life insurance
- Wellbeing benefits
- 10 paid holidays per year
- Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)