Applied Scientist, Recommendation, E-Commerce Alliance

TikTok

  • San Jose, CA
  • Permanent
  • Full-time
  • 29 days ago
The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are actively seeking an Applied Scientist to join our Global E-Commerce Alliance Team. This role is centered on developing and implementing innovative machine learning solutions for our recommendation systems in E-Commerce business. The successful candidate will work closely with cross-functional teams, providing expert insight and influencing critical decision-making across multiple areas of our business.Responsibilities:- Collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our recommendation systems.
- Utilize the ML, NLP, and CV techniques to deal with real-world signals generated from products, creators, merchants, e-commerce transactions, and so on.
- Design and deploy the large recommendation model, in the online learning manner, to serve billions of queries and products.
- Formulate end-to-end machine learning models for recommendation systems, ensuring their efficient and effective operation.
- Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.
- Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.
- Stay abreast of the latest advances in machine learning and recommendation systems, integrating this knowledge into your work.
- Clearly communicate complex technical concepts, methodologies, and results to a diverse audience, influencing decisions based on your findings.
- Adhere to stringent data governance and privacy protocols, ensuring all user data is handled responsibly and ethically.Qualifications:Minimum Qualifications
- PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
- Solid experience in machine learning, deep learning, data mining, or artificial intelligence.
- Proficient in programming languages such as Python, C++, Java, or similar.
- Deep understanding of recommendation algorithms and personalization systems.
- Excellent problem-solving and analytical skills.
- Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.Preferred Qualifications
- Experience with reinforcement learning techniques.
- Proven modeling/algorithms competition records on Kaggle or top conferences' challenges.
- Proven programming competition records on ICPC, IOI or USACO.
- Experience working with recommendation systems, computational advertising, search engine, E-commerce recommendation systems.
- Publications in machine learning or related conferences or journals are highly desirable.

TikTok