General ) Machine Learning Engineer Graduate; Monetization PhD

Discover a career that energizes and excites you every day.

@2026 Tik Tok

Technology

Location:

San Jose

Employment Type:

Regular

Job Code:

A21080A

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Global Monetization Product and Technology teams are building the next‑generation monetization platforms to help millions of customers grow their businesses, utilizing our products like Tik Tok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity. We are looking for talented individuals to join our team.

As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. What is the General Hire? If you're applying under the General HIre track for the GMPT-Performance Monetization organization, your resume will be reviewed by all the subteams, and we'll help identify one or more teams that are the best match for you.

Why General Hire? This process gives you broader exposure and increases your chances of finding the right team fit!

• Participate in the development of a large-scale Ads system.
• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the Tik Tok ads monetization ecosystem.
• Work with product and business teams on product vision.

Minimum Qualifications:

• Individuals who are completing or have recently completed a PhD degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline (completed, or expecting to graduate within 12 months).
• Experience in and good theoretical grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to:
  Go, C/C++, Python.
• Experience in one or more of the following frameworks:
  Tensorflow/PyTorch/MXNet, etc
• Ability to think critically and to formulate solutions to problems in a clear and concise way.

Preferred Qualifications:

• Ads system, recommendation, searching, ranking, etc.

The base salary range for this position in the selected city is $162000 - $316800 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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County…