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Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Conversational AI) - 2026 Start (BS/MS)

TikTok

Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Conversational AI) - 2026 Start (BS/MS)

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Learning and development stipend

Wellness benefits

Remote work flexibility

Required Skills

Python

TensorFlow

PyTorch

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Tik Tok

Machine Learning Engineer Graduate (Tik Tok Shop Global E-Commerce, Conversational AI) - 2026 Start (BS/MS)

3+ months ago• Singapore
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

  • Size: 5001-10000 employees
  • Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

Team Introduction
The future of e-commerce customer service is intelligent, efficient, and AI-driven. Our team is dedicated to replacing traditional human-agent customer service with an advanced AI-powered conversational system that provides instant, intelligent, and seamless support for Tik Tok's global e-commerce platform. By leveraging Large Language Models (LLMs) and NLP, we are building an AI customer service system that can understand user queries, resolve disputes, guide transactions, and enhance the overall shopping experience without the need for human intervention.
Our cutting-edge AI is designed to handle complex customer interactions, including answering product inquiries, resolving order issues, processing refunds, and assisting sellers with operational tasks. Through LLM post-training, we ensure that our AI assistant is continuously learning and improving, providing more accurate, context-aware, and human-like interactions.
By joining us, you will be at the forefront of transforming customer service in e-commerce, helping build an AI system that understands, adapts, and provides intelligent solutions-all while reducing costs and improving efficiency for merchants and the platform.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 Tik Tok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

  • Develop AI Customer Support Systems: Build and optimize AI-driven customer service models capable of handling high-volume, complex user inquiries while ensuring high response accuracy and reliability.
  • Enhance LLM-Based Customer Interaction Models: Implement LLM post-training strategies to improve customer support interactions, reducing errors, hallucinations, and irrelevant responses.
  • Create Automated Dispute Resolution & Policy-Adaptive AI: Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses.
  • Develop Multilingual Support & Translation Models: Enhance the platform's AI translation capabilities for real-time multilingual customer service interactions, ensuring smooth cross-language communication.
  • Refine Response Evaluation Metrics: Define and implement quality evaluation metrics for AI-generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization.
  • Enable AI-Seller Collaboration: Build AI-powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently.

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  • Optimize Large-Scale Model Deployment: Work on model compression, inference optimization, and edge AI deployment to ensure real-time, high-quality customer service experiences at scale.

Qualifications:

  • Minimum Qualifications

  • Final year graduates in Computer Science, engineering or quantitative field.

  • Experience in one of the following fields: machine learning, NLP, and computer vision.

  • Experience with software development in at least one of the following programming languages: C++, Python, Go, Java

  • Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

  • Preferred Qualifications

  • LLM Development & Post-Training Expertise: Experience in fine-tuning, distillation, or reinforcement learning of large language models for conversational AI applications.

  • Multilingual AI Development: Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling.

  • E-commerce Business Acumen: Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to enhance AI service design.

  • Advanced NLP & Deep Learning: Strong grasp of AI agents, retrieval augmented generation, mixture of experts, sparse attention, reinforcement learning, inference time scaling etc. for improving AI dialogue quality.

  • Scalability & Efficiency: Experience in distributed model training, low-latency inference, and edge AI for large-scale customer service applications.

By submitting an application for this role, you accept and agree to our global applicant If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Client-provided location(s): Singapore Job ID: Tik Tok-7530868912565586184Employment Type: OTHERPosted: 2025-07-25T23:03:14Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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  • Women's Community01:31Working at Tik Tok
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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures