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Big Data Engineer, TikTok Recommendation Architecture

TikTok

Big Data Engineer, TikTok Recommendation Architecture

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Wellness benefits

Flexible PTO policy

Parental leave program

Required Skills

Python

TensorFlow

PyTorch

About the Role

Tik Tok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Tik Tok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, 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

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our Tik Tok users.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

  • Design and implement a reasonable offline data architecture for large-scale recommendation systems
  • Design and implement flexible, scalable, stable and high-performance storage and computing systems
  • Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
  • Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
  • Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
  • Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
  • Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

  • Bachelor's degree or above in computer science, software engineering, or a related field
  • Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, Elastic Search etc.
  • Familiar with Java, C++ and other programming languages
  • Strong coding and trouble shooting ability

Additional Information

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.

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.

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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

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

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