Applied Scientist, E‑Commerce Recommendations

TikTok; San Jose (CA); On-site; USD 150,000 - 316,800; Full time

Job summary

TikTok is seeking an Applied Scientist to join its Global E-Commerce Alliance Team in San Jose, CA. You will develop, implement, and deploy advanced machine learning solutions for our recommendation systems across e-commerce platforms.

You will work with cross-functional teams, applying ML, NLP, and CV techniques to signals from products, creators, merchants, and transactions, aiming to optimize performance and user experience while maintaining data governance standards.

Qualifications

• PhD or Master9s 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.

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.

Skills

Machine learning

Deep learning

Data mining

Python

C++

Java

Recommendation systems

Communication skills

Education

PhD or Master9s degree in Computer Science/Statistics/Mathematics

Job description

TikTok is seeking an Applied Scientist to join its Global E-Commerce Alliance Team in San Jose, CA. You will develop, implement, and deploy advanced machine learning solutions for our recommendation systems across e-commerce platforms.

You will work with cross-functional teams, applying ML, NLP, and CV techniques to signals from products, creators, merchants, and transactions, aiming to optimize performance and user experience while maintaining data governance standards.