Machine Learning Engineer, Web Ads and Open-loop E-Commerce Specialist
1 week ago
We are seeking a highly skilled Machine Learning Engineer to join our team at TikTok. As a key member of our Ads and E-Commerce team, you will be responsible for developing and implementing machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies.
Key Responsibilities- Develop and Implement Machine Learning Models: Design and build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies.
- Explore and Develop New Features: Investigate, develop, and experiment with new features to improve model accuracy and enhance the overall user experience.
- Collaborate with Cross-Functional Teams: Work closely with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
- Education and Experience: BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 3+ years of related work experience.
- Technical Skills: Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
- Analytical and Problem-Solving Skills: Good analytical thinking capability. Have essential knowledge and skills in statistics.
- Machine Learning Expertise: Good theoretical grounding in 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).
- Domain Expertise: Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.
- Resource Management and Task Scheduling: Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
- Search and Recommendation: Relevant work or research experiences in search and recommendation.
The base salary range for this position is $360,000 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. Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.
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