Responsibilities
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
Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth.
The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact.
The team is fast-pacing, collaborative and impact-driven.
Responsibilities - What You'II Do
- Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
- Deliver end-to-end machine learning solution to address critical product challenges;
- Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
- Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
We are looking for talented individuals to join our team in 2024. 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.
Successful candidates must be able to commit to one of the following start dates below :
1. January 15, 2024
2. February 5, 2024
3. March 4, 2024
4. May 20, 2024
5. June 10, 2024
6. July 15, 2024
7. August 12, 2024
We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
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.
Qualifications
Minimum Qualifications
- PhD degree with a background in computer science, machine learning, or similar fields.
- Good knowledge of theoretical and empirical research in addressing research problems
- Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architectures
Preferred Qualifications :
- Research experience in one or more of the following fields : applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
- Strong first-author publications record in top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.)
- Proficient in C / C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.
- Internship experience in an AI research organization
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 https : / / shorturl.at / cdpT2
Machine Learning Engineer Graduate (Search E-commerce) - 2024 Start (PhD)
We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. As a graduate, ...
Machine Learning Engineer Graduate (Content Ecology) - 2025 Start (PhD)
Develop and implement machine learning models to enhance user experience across various TikTok sub-businesses. The Content Ecology team aims to leverage AI and machine learning algorithms to build a suite of strategic models and platform solutions that enhance user experience across various sub-busi...
(General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD)
Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product. The team is made up of machine learning researchers and engineers, who support and innovate on production ...
Machine Learning Engineer (CV/NLP/Multimodal/LLM) Graduate (E-Commerce Governance)-2025 Start ([...]
Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Participate in th...
Senior Machine Learning Engineer - Search Recommendation, E-commerce
Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-...
Software Engineer in Multimedia Graduate (Real Time Communication) - 2024 Start (BS/MS/PHD)
As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, ...
Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (MS)
Responsibilities:- Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering Preferred Qualifications:- Demonstrated software engineering experience ...
Tech Lead Machine Learning Engineer - AIGC Model, TikTok Monetization GenAI
TikTok is the leading destination for short-form mobile video. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Creation is the core of TikTok's purpose. This is doubly true of the teams that make TikTok possible. ...
Research Scientist Graduate (Privacy Innovation Lab) - 2025 Start (PhD)
Minimum Qualifications:- PhD in Privacy, Security, Machine Learning, or 5+ years of experience working on related research. Demonstrated expertise in measurable AI privacy including quantized privacy risk measurement, differential privacy, membership inference attack, interpretable AI, AI fairness, ...
Machine Learning Engineer Graduate (Search E-Commerce - San Jose) - 2025 Start (BS/MS)
Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are...