Machine Learning Scientist Graduate (Global E-commerce Content Recommendation) - 2026 Start (BS/MS)

About the role

The Global E-Commerce Content Recommendation team at TikTok is a central player in driving product decisions and platform growth. Comprising machine learning researchers and engineers, the team supports and innovates on production recommendation models, focusing on how large language models and generative AI can transform the recommendation process.

Responsibilities

• Develop and deploy ML models to power personalized e-commerce recommendations
• Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
• Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
• Focused on scaling, robustness, and production-quality deployment

Qualifications

• Minimum Qualifications: Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
• Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
• Demonstrated ability to conduct rigorous research and analyze large-scale data
• Strong problem-solving skills and a high sense of ownership

Preferred Qualifications

• Publications in ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys)
• Experience with recommendation systems, retrieval models, or multi-modal learning
• Familiarity with building and deploying real-time, scalable ML systems in production
• Background in e-commerce or related applied AI research domains

Benefits

• Medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Job Information

[For Pay Transparency] Compensation Description (Annually) The base salary range for this position in the selected city is $122,574 - $256,000 annually. Compensation may vary 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. Applicants can apply to a maximum of two positions and will be considered for jobs in the order they 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.

[TikTok Accommodation] 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://tinyurl.com/RA-request.