Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads) - 2026 Start (BS/MS)

Join TikTok as a Machine Learning Engineer Graduate, contributing to ads systems and the applied ML stack within the commerce, content service, and search ads domains. The program targets a 2026 start with onboarding completed by year-end, supporting monetization product and technology teams through hands-on ML development.

Location

San Jose, CA (onsite)

Compensation

Annual salary range: USD 122,574 to 256,000

Responsibilities

• Contribute to the development of a large-scale Ads system.
• Advance state-of-the-art applied machine learning projects within monetization initiatives.
• Own key targeting components or strategies within the TikTok ads monetization ecosystem.
• Collaborate with product and business teams to align on product vision and requirements.

Requirements

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical field.
• Solid theoretical grounding in machine learning concepts and practical experience applying them.
• Excellent programming, debugging, and optimization skills in one or more general purpose languages, including Go, C/C++, and Python.
• Experience with one or more ML frameworks such as TensorFlow, PyTorch, or MXNet.
• Ability to think critically and articulate solutions clearly and concisely.

Technologies

• TensorFlow
• PyTorch
• MXNet
• Go
• C/C++
• Python

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 tenure-based accruals