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Machine Learning Engineer - LIVE Recommendation - Singapore

TikTok

Machine Learning Engineer - LIVE Recommendation - Singapore

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Learning and development stipend

Flexible PTO policy

Parental leave program

Remote work flexibility

Annual team offsites

Required Skills

Python

TensorFlow

PyTorch

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 Live Streaming Recommendation Core Technology Team is primarily responsible for foundational models and distribution pipelines in live streaming recommendations, including model iteration for modules such as precision ranking, first stage ranking, and recall. The team's key focus is optimizing algorithmic efficiency by addressing business challenges unique to live streaming content, deeply understanding user needs, and building industry-leading recommendation models. Additionally, the team serves as a centralized platform to support iterative improvements across various verticals within live streaming, accelerating business growth.

  1. Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
  2. Understand product objectives and machine learning techniques; improve model and recommendation strategy;
  3. Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
  4. Understand content security strategy and apply ML algorithms to improve content audit process;
  5. Work with cross functional teams to grow Byte Dance product in important regional markets.

Qualifications

Minimum Qualifications:

  1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience;
  2. Solid experience with data structures or algorithms;
  3. Software development experience through hands on coding in a general purpose programming language;
  4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;
  5. Strong communication and teamwork skills;
  6. Passion about technologies and solving challenging problems.

Email Address

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Preferred Qualification Minimum 3 years relevant work experience from a large-scale internet business

Client-provided location(s): Singapore

Job ID: Tik Tok-7520493270868019463

Employment Type: OTHER

Posted: 2025-06-28T00:28:13
Apply 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

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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