(General Hire)Machine Learning Engineer Graduate (TikTok Recommendation) - 2026 Start (BS/MS)

Welcome to the Latest Job Vacancies Site 2025 and at this time we would like to inform you of the Latest Job Vacancies from the TikTok with the position of (General Hire)Machine Learning Engineer Graduate (TikTok Recommendation) - 2026 Start (BS/MS) which was opened this.

If this job matches your qualifications, please send your application directly through our latest Job site. Indeed, every job is not easy to apply because it must meet several qualifications and requirements that we must meet in accordance with the standard criteria of the Company who are looking for potential candidates to work. Good job information (General Hire)Machine Learning Engineer Graduate (TikTok Recommendation) - 2026 Start (BS/MS) below matches your qualifications.

Responsibilities

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.

This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the best fit based on skills and interests. 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 2026. 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 an onboarding date by end of year 2026 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.

Qualifications

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, e.g. PyTorch, Tensorflow.
• Experienced in one or more of the following areas, e.g. 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

How to Submit an Application:

After reading and knowing the criteria and minimum requirements for qualifications that have been explained from the (General Hire)Machine Learning Engineer Graduate (TikTok Recommendation) - 2026 Start (BS/MS) job info - TikTok Seattle, WA above, thus jobseekers who feel they have not met the requirements including education, age, etc. and really feel interested in the latest job vacancies (General Hire)Machine Learning Engineer Graduate (TikTok Recommendation) - 2026 Start (BS/MS) job info - TikTok Seattle, WA in 2025-07-31 above, should as soon as possible complete and compile a job application file such as a job application letter, CV or curriculum vitae, FC diploma and transcripts and other supplements as described above, in order to register and take part in the admission selection for new employees in the company referred to, sent via form this bottom.