E-commerce Algorithm Developer

2 days ago


San Jose, California, United States Tik Tok Full time

TikTok is a rapidly growing social media platform that is changing the way people connect and share content. As a Machine Learning Engineer on our E-commerce team, you will have the opportunity to work on cutting-edge projects and technologies that are shaping the future of social media.

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Our team is responsible for building and scaling our e-commerce recommendation system, which provides a stable and engaging shopping experience for our users. We use a combination of machine learning and artificial intelligence techniques to improve the accuracy and relevance of our recommendations.

We are looking for a talented 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.

Job Description

Your primary responsibilities will include:

  1. Designing and building large-scale e-commerce recommendation algorithms that provide a stable and engaging shopping experience for our users.
  2. Building long and short term user interest models, analyzing and extracting relevant information from large amounts of various data and designing algorithms to explore users' latent interests efficiently.
  3. Designing, developing, evaluating and iterating on predictive models for candidate generation and ranking, including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
Requirements

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.
Estimated Salary Range

The estimated salary range for this role is $120,000 - $180,000 per year, depending on experience and qualifications.



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