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Machine Learning Engineer - Video Recommendation - Singapore

TikTok

Machine Learning Engineer - Video Recommendation - Singapore

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

Benefits and perks

Remote Work

Equity

Learning

Healthcare

Required skills

TensorFlow

PyTorch

Airflow

Responsibilities

Tik Tok-Data Video Recommendation Team is responsible for the personalized recommendation algorithms for Tik Tok's hundreds of millions of global users. Here, you will collaborate with top algorithm engineers in the industry, leveraging your expertise in deep learning, recommendation algorithms, and large models to continuously transform and enhance the Tik Tok user experience and content ecosystem.

  • Build industry leading recommendation system, develop highly scalable classifiers and tools leveraging machine learning
  • Understand product objectives and machine learning techniques, improve model and recommendation strategy
  • Understand user behavior and apply Machine Learning algorithms to optimize push notification and production experience
  • Work with Tik Tok cross functional teams to grow Tik Tok in important regional markets

Qualifications

Minimum Qualifications

  • Bachelor's degree or above in computer science or a related technical discipline
  • Solid experience with data structures or algorithms
  • Software development experience through hands on coding in a general purpose programming language
  • Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas
  • Strong communication and teamwork skills
  • Passion about technologies and solving challenging problems

Preferred Qualifications

  • Minimum 3 years of relevant work experience from a large-scale internet business

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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

3.8

10 reviews

Work-life balance

2.8

Compensation

3.7

Culture

4.1

Career

3.2

Management

2.9

68%

Recommend to a friend

Pros

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

Cons

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

Salary Ranges

49 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total per year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview experience

2 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

Common questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit