Applied Scientist, Search, E-Commerce Alliance

TikTok
San Jose, California

About the job

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.

Responsibilities

- Work collaboratively with cross-functional teams to develop and implement advanced machine learning algorithms to improve the search and recommendation systems.

- Define the scope and design end-to-end machine learning models for search systems.

- Analyze complex, large-scale data to extract insights and to identify potential areas where our search system can be improved.

- Create, test, implement, and iterate on machine learning models to optimize search functions and improve the user experience.

- Stay up-to-date with the latest developments in machine learning and search systems.

- Present complex findings and algorithms to a non-technical audience and influence decision-making.

- Follow strict data governance and privacy policies to ensure that user data is handled with the utmost care.

Qualifications

Minimum

- PhD, Master or Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field.

- Extensive experience in machine learning, deep learning, data mining, or artificial intelligence.

- Strong programming skills in Python, C++, Java, GO, or similar.

- Strong knowledge of search algorithms, information retrieval, and ranking systems.

- Excellent problem-solving and analytical skills.

- Strong communication skills with the ability to explain complex concepts to a non-technical audience.

Preferred

- Experience with Natural Language Processing (NLP) 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 search systems.

- Publication records in machine learning or related conferences or journals is a plus.