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

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Job summary

TikTok Inc. is seeking talented researchers to join the Governance and Experience Algorithm team in San Jose. You will develop AI models to detect risks and violations in e-commerce, optimize content and brand libraries, and contribute to data construction and fine-tuning for large models.

Onboarding is required by year-end, with opportunities for growth. Candidates should have PhD in relevant fields and strong coding in Python/Go/C++. Experience with NLP, CV, and LLM domains is preferred.

Qualifications

• PhD in Software Development, Computer Science, Computer Engineering, or related field.
• Strong coding in Linux; proficient in Python, Go, or C++.
• Solid foundations in data structures/algorithms; ML/DL theory with practical experience.
• Familiar with NLP, CV, multimodal, graph algorithms, search, text/data mining, and LLMs.

Responsibilities

• Identify algorithms for risk/violation/low-quality issues in e-commerce scenarios.
• Mine and identify algorithms to detect fraudulent behaviors and identify risky merchants/creators.
• Optimize algorithms for large-scale brand libraries, products, and content deduplication/clustering.
• Data construction, instruction fine-tuning, CoT, alignment for large models in e-commerce domain.
• Explore reinforcement learning and operations research for intelligent dispatching and audit scheduling.

Skills

Python

Go

C++

Linux

Data structures/algorithms

Machine learning

NLP

LLM

Education

PhD in Software Development or Computer Science

PhD in Computer Engineering

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 PhD 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:

• 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 $162000 - $387600 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.