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Machine Learning Engineer (Recommendation Alliance) Intern, TikTok Global E-Commerce - 2025 Start

TikTok

Machine Learning Engineer (Recommendation Alliance) Intern, TikTok Global E-Commerce - 2025 Start

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning and development stipend

Top Tier compensation with equity

Wellness benefits

Health, dental, and vision coverage

Annual team offsites

Flexible PTO policy

Required Skills

Apache Spark

SQL

Airflow

About the Role

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of Tik Tok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make Tik Tok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At Tik Tok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce alliance team aims to serve merchants and creators on the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for Tik Tok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

We are looking for talented individuals to join us for an internship from August 2024 onwards. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at Tik Tok.

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.

Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities

  • Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency.
  • Optimize Tik Tok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform.
  • Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.
  • Support the rapid development of Tik Tok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote ecological development.
  • Support the production of scalable and optimised AI/machine learning (ML) models.
  • Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.

Qualifications

Minimum Qualifications

  • Undergraduate, or Postgraduate who is currently pursuing a degree/master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Solid theoretical understanding of machine learning, with familiarity with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, and Deep Neural Networks.
  • Experience in training and deploying models using frameworks like Py Torch, Tensor Flow, or MXNet.
  • Strong learning ability, with excellent communication and teamwork skills.

Preferred Qualifications

  • Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, Rec Sys, and similar.
  • Practical Experience: Experience from internships, research, or projects, especially in fields like e-commerce, recommendations, or search engines.
  • Problem Solving and Creativity: Passionate about technology and solving challenging problems, with high levels of creativity and quick problem-solving capabilities.

Additional Information

Tik Tok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Tik Tok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Tik Tok will be prioritizing applicants who have a current right to work in Singapore, and do not require Tik Tok's sponsorship of a visa.

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.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.

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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