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Tech Lead, Machine Learning E-commerce Feed Recommendation
2 weeks ago
Join the team at TikTok, the leading platform for short-form mobile videos, where creativity and joy are at the core of everything we do. With global headquarters in Los Angeles and Singapore and offices in major cities like New York, London, and Tokyo, we are dedicated to inspiring creativity and bringing joy to billions of users daily.
Why You Should Join Us
At TikTok, we believe that every challenge presents an opportunity for growth and innovation. We work together to drive impact and create a unique shopping experience for our users on TikTok Shop, a growing E-commerce platform.
About the TeamJoin our team of machine learning engineers and research scientists who are focused on enhancing E-commerce video/live-streaming recommendations on TikTok's ForU page. We develop cutting-edge algorithms to improve user engagement and satisfaction, translating creative ideas into impactful solutions.
We are passionate about applying large scale machine learning to address real-world challenges in E-commerce and recommendation systems.
Your Key Responsibilities- Participate in building largescale livestreaming and short video ecommerce recommendation algorithms.
- Design, develop, and evaluate predictive models for candidate generation and ranking.
- Build user interest models and design algorithms to explore users' shopping interests efficiently.
- Develop ML strategies to enhance user shopping experience and tackle E-commerce business challenges.
- Create supporting tools to aid in the development process.
- Bachelor's degree or higher in Computer Science or related fields.
- Strong programming and problemsolving skills.
- 5 years of experience in applied machine learning with expertise in various algorithms and tools.
- Proficiency in Deep Learning Tools such as tensorflow/pytorch.
- Experience with programming languages like C++/Python.
- 3 years of experience in recommendation systems, data mining, or related fields.
- Strong publication record or experience in data mining/machine learning competitions.
At TikTok, we are dedicated to fostering an inclusive workplace that values diversity and unique perspectives. Our mission is to inspire creativity and spread joy globally. If you require assistance or accommodations during the recruitment process, please let us know.
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