Machine Learning Engineer Graduate (Monetization Technology - Ads Core Global) - 2027 Start (PhD) - Graduate (Global Monetization Product and Technology) - 2027 Start (PhD)

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Short-term disability

Long-term disability

Life insurance

Wellbeing benefits

Paid holidays

Job summary

TikTok Inc. Ads Core team builds monetization components across ad delivery, including ranking, bidding, budgeting, formats and diagnosis frameworks.

You will help decide which ad wins each impression, for whom, and at what price, as part of a world-leading ranking model & framework. The role offers opportunities to tackle bold ideas, work with ML/DL, RL, and large-scale recommendation systems, and collaborate with global teams; onboarding is expected by year-end with clear resume availability

Qualifications

• PhD in CS/Math/Stats or related field.
• Solid programming skills in C/C++ and Python; Linux development environment.
• Strong foundation in statistics and data analysis.

Responsibilities

• Assist in optimizing efficiency across the entire advertising funnel (Recall/Rough-sort, Fine-sort, CTR/CVR).
• Research and develop global advanced delivery systems using ML/DL, RL, LLMs and scaling laws for ads.
• Design and standardize system frameworks to improve efficiency for different vertical needs.
• Collaborate with product and business teams across global scenarios.

Skills

C/C++

Python

Linux

Data structures & algorithms

Statistics

Machine learning concepts

Deep learning

Education

PhD in Computer Science, Mathematics, Statistics or related field

Tools

TensorFlow

PyTorch

MXNet

Job description

Responsibilities

The Ads Core team builds the monetization components used across ad delivery. We build the ranking, bidding, budget, format, and diagnosis frameworks that act as a shared platform layer, so other ads teams can iterate on their products in parallel.

We design traffic strategies that maximize revenue within the constraints of user experience, working toward complete exploration of an advertiser's audience. Our model-driven automation optimizes ad delivery performance end to end.

You will build the systems that decide which ad wins each impression, for whom, and at what price.

TikTok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel. All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better returns.

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.

Responsibilities

• Assist in optimizing efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation.
• Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation.
• Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs.
• Work with product and business teams from various scenarios with global impact.

Qualifications

Minimum Qualifications:

• Individuals who are completing or have recently completed a PhD degree in Computer Science, Mathematics, Statistics or a related discipline.
• Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
• Good analytical thinking capability. Essential knowledge and skills in statistics.
• Good theoretical grounding in deep learning concepts and techniques.
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.

Preferred Qualifications:

• Good knowledge in one of the following fields: Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning.
• Basic understanding of large recommendation system and ads serving system concepts.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Job Information

Compensation Description (annually)

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.

For Los Angeles County (unincorporated) Candidates:

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 Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.