Machine Learning Engineer, Content Discovery
3 weeks ago
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy to our users. We are seeking a talented Machine Learning Engineer to join our E-commerce team.
">">You will be responsible for designing and building large-scale e-commerce recommendation algorithms that provide a stable and engaging shopping experience for our users. Your work will play a critical role in helping us achieve our goal of creating a world where 'there are no hard-to-sell, overpriced products.'
About the RoleWe are looking for a skilled engineer with a solid foundation in data structure and algorithm design, as well as proficiency in using one of the programming languages such as Python, Java, C++, R, etc. You should have experience with common machine/deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering methods, as well as mathematical programming and heuristic algorithms.
You will also need to be familiar with big data related frameworks and applications, such as TensorFlow / PyTorch / MXNet, and their training and deployment details. Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields is highly desirable.
What You Will Do- Design and build optimization algorithm strategies for large-scale (10 million to 100 million products or creators' contents) e-commerce recommendation algorithm pipeline.
- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking, including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
To be successful in this role, you should have:
- A Bachelor's degree or higher in Computer Science or a relevant field.
- At least 3 years of experience in software development, preferably in a related field.
- Proficiency in at least one programming language, such as Python, Java, C++, R, etc.
- Familiarity with common machine/deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering methods, as well as mathematical programming and heuristic algorithms.
- Experience with big data related frameworks and applications, such as TensorFlow / PyTorch / MXNet, and their training and deployment details.
The estimated salary range for this role is $120,000 - $180,000 per year, depending on experience and qualifications.
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