PhD ML Engineer Intern - Monetization Platforms

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 68,000 - 97,000; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Housing allowance

Paid holidays

Job summary

TikTok is offering a PhD internship for the General Hire track in the GMPT-Performance Monetization organization. The role is based in San Jose with an internship type and a 2027 start window.

You will contribute to monetization products, work across a variety of ad formats, and participate in an immersive research and hands-on development program. Ideal candidates are pursuing a PhD, have strong ML fundamentals, and are proficient in Go, C/C++, and Python with ML frameworks.

Qualifications

• Pursuing a PhD in CS, SE, CE, or related field.
• Strong ML theory and practical knowledge.
• Proficient programming in Go, C/C++, Python.
• Experience with ML frameworks: TensorFlow, PyTorch, MXNet.

Responsibilities

• Contribute to next-generation monetization platforms.
• Develop ads systems for feeds, live, branding, and measurement.
• Collaborate with global teams across GMPT-Performance Monetization.
• Internship provides hands-on product and research exposure.
• Participate in hands-on learning and professional development events.
• Apply early; clearly state start and end dates in resume.

Skills

Go

C/C++

Python

Education

PhD in Computer Science

Tools

TensorFlow/PyTorch/MXNet

Job description

TikTok is offering a PhD internship for the General Hire track in the GMPT-Performance Monetization organization. The role is based in San Jose with an internship type and a 2027 start window.

You will contribute to monetization products, work across a variety of ad formats, and participate in an immersive research and hands-on development program. Ideal candidates are pursuing a PhD, have strong ML fundamentals, and are proficient in Go, C/C++, and Python with ML frameworks.