Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, Mountain View, New York, Austin, London, Paris, Berlin, Dubai, Singapore, Jakarta, São Paulo, Seoul and Tokyo.

Why Join US
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

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

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 Skills:

- 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 is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodations@tiktok.com.