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Machine Learning Scientist Intern (TikTok-Recommendation-Responsible AI) - 2025 Fall (PhD)

TikTok

Machine Learning Scientist Intern (TikTok-Recommendation-Responsible AI) - 2025 Fall (PhD)

TikTok

San Jose, CA

·

On-site

·

Full-time

·

2mo ago

福利厚生

Unlimited Pto

Learning

Parental Leave

Remote Work

Equity

必須スキル

Airflow

Python

TensorFlow

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

About the Team:

Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.

We are looking for talented individuals to join us for an internship in 2025. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at Tik Tok.

Internships at Tik Tok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

In this role, you'll have the opportunity to:

  • Drive the development of industry-leading recommendation systems that elevate user experience, strengthen platform safety, and empower a vibrant content ecosystem.
  • Deliver impactful, end-to-end machine learning solutions that tackle high-priority product challenges related to content understanding, LLMs, robustness, and fairness.
  • Own and optimize the full-stack ML pipeline-from algorithm design to system infrastructure-to continuously push the boundaries of recommendation performance.
  • Collaborate with cross-functional teams to craft innovative product strategies and develop intelligent solutions that fuel Tik Tok's growth in key global markets.

Qualifications

Minimum Qualifications:

  • Currently pursuing a PhD with a background in computer science, machine learning, or similar fields;

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  • Good knowledge of theoretical and empirical research in addressing research problems;- Solid knowledge and experience with at least one popular deep learning framework (e.g., Py Torch,Tensor Flow) and familiarity with deep neural network architectures.

Preferred Qualifications:

  • Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;- Strong first-author publications record in top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.);- Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design;- Internship experience in an AI research organization.

Client-provided location(s): San Jose, CA

Job ID: Tik Tok-7511567551576000775

Employment Type: INTERN

Posted: 2025-06-04T00:32:38
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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

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TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1件のレポート

$273,000

年収総額

基本給

$210,000

ストック

-

ボーナス

-

$273,000

$273,000

面接体験

2件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit