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 UsCreation 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 TeamRecommendation 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 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. 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 for a maximum of TWO positions and will be considered for jobs in the order you applied for.
The application limit is applicable to TikTok and its affiliates' jobs globally.
Minimum Qualifications : - Bachelor degree or above in the field of computer science or a related technical discipline- Proficient coding skills and strong algorithm & data structure using C++ / Python or other programming language- Experienced in Machine Learning, familiar with at least one DeepLearning framework, .
PyTorch, Tensorflow.- Experienced in one or more of the following areas, . NLP, CV, Recommender System, and Machine Learning, etc- Effective communication and teamwork skills Preferred Qualifications : - Authors of published papers in top academia conferences is an advantage- Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage
Machine Learning Engineer - E-commerce Recommendation - USDS
Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok. We are a group of applied machine learning engineers and data scientists that...
AIML - Machine Learning Research Engineer, Foundation Models
We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. You will work with a close-knit and fast growing team of world-class engineers and scientis...
Machine Learning Engineer - E-commerce Risk Control
Invent, implement, and deploy state-of-the-art machine learning algorithms, to respond to and mitigate business risks in TikTok products/platforms. Developing state-of-the-art Machine Learning (ML) solutions to prevent customers, SPs, and TikTok from being impacted by bad actors’ actions and practic...
ML Engineer Graduate (Search E-Commerce) - 2025 Start (PhD)
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...
Machine Learning Engineer, TikTok Trust and Safety
We are looking for excellent machine learning engineers who can take the initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active l...
Machine Learning Scientist Graduate, Scaling AI for Biology (AML - AI-for-Science) - 2025 Start (PhD)
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, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. The AI for Science team has been ...
Manager, Machine Learning Engineer, Ad Targeting
We are looking for a Machine Learning Engineering Manager to join the Ad Targeting engineering team. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. Strong understanding of ML approaches and algorith...
Machine Learning Platform Engineer
The Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. Design, develop, and ...
Machine Learning (Pre-Sales) Solutions Engineer Seattle, WA
Machine Learning Solution Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process. Snorkel AI is enabling a paradigm shift in ML development by helping organizations take a programmatic approach to machine lear...
Machine Learning Engineer, Fraud Discovery
The Risk group consists of machine learning, backend, and full stack engineers who tackle this problem through creative new product ideas and impactful machine learning models. Risk Engineering brings together machine learning with product development to lower Stripe’s financial and regulatory risk ...