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General ; Machine Learning Engineer Graduate ( Recommendation BS/MS
Job in
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-02-25
Listing for:
TikTok
Full Time
position Listed on 2026-02-25
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Join to apply for the (General Hire)
Machine Learning Engineer Graduate (Tik Tok Recommendation Start (BS/MS) role at Tik Tok
Join to apply for the (General Hire)
Machine Learning Engineer Graduate (Tik Tok Recommendation Start (BS/MS) role at Tik Tok
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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.
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 Tik Tok 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 Tik Tok 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 Tik Tok.
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 Deep Learning 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
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $$annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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