
Machine Learning Engineer
2 weeks ago
Join to apply for the Machine Learning Engineer (Recommendation Alliance), TikTok Global E-Commerce - 2025 Start role at TikTok
5 hours ago Be among the first 25 applicants
Join to apply for the Machine Learning Engineer (Recommendation Alliance), TikTok Global E-Commerce - 2025 Start role at TikTok
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Responsibilities
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
Responsibilities
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About The Team
The E-commerce alliance team aims to serve merchants and creators on 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 looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency.
- Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform.
- Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.
- Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote ecological development.
- Support the production of scalable and optimised AI/machine learning (ML) models.
- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.
Minimum Qualifications
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Solid theoretical understanding of machine learning, with familiarity with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, and Deep Neural Networks.
- Experience in training and deploying models using frameworks like PyTorch, TensorFlow, or MXNet.
- Strong learning ability, with excellent communication and teamwork skills.
- Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys, and similar.
- Practical Experience: Experience from internships, research, or projects, especially in fields like e-commerce, recommendations, or search engines.
- Problem Solving and Creativity: Passionate about technology and solving challenging problems, with high levels of creativity and quick problem-solving capabilities.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: you have any questions, please reach out to us at Seniority level
- Seniority level Internship
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Entertainment Providers
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