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

TikTok is inviting a junior to mid level machine learning engineer track to join its Commerce and Content Service plus Search Ads teams in San Jose. This on-site role focuses on building large-scale ads systems and applying machine learning within monetization product and technology groups, with a 2026 start and onboarding by year-end. The position offers a compensation range of USD 122,574 to 256,000 per year and is based in San Jose, CA.

Responsibilities

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

Requirements

• Candidate or soon-to-be graduate with a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid theoretical grounding in machine learning concepts and techniques with practical experience.
• Excellent programming, debugging, and optimization skills in one or more general purpose languages, including Go, C/C++, and Python.
• Experience with frameworks such as TensorFlow, PyTorch, or MXNet.
• Ability to think critically and articulate solutions in a clear, concise manner.

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 at start with accruals increasing over tenure