ML Infra Engineer Graduate (Ads Infra) - 2027 Start

Responsibilities

The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads Infra team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.

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.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
- Develop and optimize advertising recommendation models, covering training, evaluation, inference and user behavior sequence modeling.
- Build large-scale data pipelines for sample generation and joining, feature processing, storage and data quality assurance.
- Develop ML platforms for distributed training, model distribution, online serving and lifecycle management.
- Explore MLLM applications in advertising, including data production, model training, fine-tuning and inference optimization.
- Apply AI agents to workflow orchestration, resource scheduling, failure diagnosis and automated operations.
- Build machine learning platforms for GPU allocation, scheduling, usage metering, cost accounting and utilization optimization.

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science or a related discipline.
- Proficiency in at least one programming language, such as C++, Python, Go or Java.
- Solid knowledge of data structures, algorithms, machine learning and computer systems.
- Familiarity with recommendation systems, MLLMs, distributed systems, ML platforms or large-scale data processing.
- Experience with deep learning frameworks, distributed training, GPU scheduling, AI agents or cloud-native technologies is a plus.

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

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $128000 - $256000 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.

Responsibilities

Responsibilities

The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads Infra team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.

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.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
- Develop and optimize advertising recommendation models, covering training, evaluation, inference and user behavior sequence modeling.
- Build large-scale data pipelines for sample generation and joining, feature processing, storage and data quality assurance.
- Develop ML platforms for distributed training, model distribution, online serving and lifecycle management.
- Explore MLLM applications in advertising, including data production, model training, fine-tuning and inference optimization.
- Apply AI agents to workflow orchestration, resource scheduling, failure diagnosis and automated operations.
- Build machine learning platforms for GPU allocation, scheduling, usage metering, cost accounting and utilization optimization.

Qualifications

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science or a related discipline.
- Proficiency in at least one programming language, such as C++, Python, Go or Java.
- Solid knowledge of data structures, algorithms, machine learning and computer systems.
- Familiarity with recommendation systems, MLLMs, distributed systems, ML platforms or large-scale data processing.
- Experience with deep learning frameworks, distributed training, GPU scheduling, AI agents or cloud-native technologies is a plus.

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