Jobs
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
Late StageA 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
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