Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start

TikTok Inc.; San Jose (CA); On-site; USD 128,000 - 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 and long-term disability

Life insurance

Wellbeing benefits

Paid holidays and personal time

Job summary

TikTok Inc. seeks graduates to join the Governance and Experience Algorithm team in the United States. You will study and develop algorithms to detect risks and violations in e-commerce, and help build a scalable ecosystem for platform services.

Candidates should be ready to onboard by year-end with clear graduation timelines in their resume. The role involves identifying fraud patterns, optimizing large-scale libraries, and contributing to data construction and model alignment.

Qualifications

• Bachelor's degree in software-related field and recent completion.
• Solid coding in Linux, Python/Go/C++ with strong fundamentals.
• Experience in ML/DL theory and practical projects.

Responsibilities

• Identify algorithms for risk/violation issues in e-commerce.
• Mine and identify algorithms to detect fraudulent behavior.
• Optimize algorithms for large-scale libraries and content.
• Data construction, fine-tuning, CoT/LLM alignment in e-commerce.
• Explore reinforcement learning for intelligent dispatching/audit scheduling.

Skills

Python

Go

C++

Linux

Data structures

Algorithms

Machine learning

Deep learning

NLP

Computer vision

Multimodal

LLM

Education

Bachelor's degree in Software Development/CS/CE or related

Master's degree in Software Development/CS/CE or related

Job description

Responsibilities

The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology:

• Combat any kinds of risks/violations issues in E-commerce scenarios.
• Build an E-commerce ecosystem and improve platform service capabilities

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

• Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
• Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
• Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.
• Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.
• Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
• Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++
• Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience
• Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM
• Excellent analytical and problem-solving skills, passionate about challenging problems

Preferred Qualifications

• Individuals who are completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
• Good team spirit and strong communication skills
• Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business

Job Information

[For Pay Transparency] Compensation Description (annually)

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