Software Engineer Graduate (TikTok Live Recommendation Architecture) - 2027 Start

TIKTOK PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Stock options

Flexible hours

Career growth

Paid leave

Flat organization

100M+ users

Job summary

TikTok is seeking graduates to join the Live Recommendation Architecture Team to build and optimize the live broadcast recommendation system. You will contribute to stable, high-performance online services and scalable data pipelines for real-time experiences.

As part of a global, diverse team, you will work with machine learning engineers, explore big data frameworks, and apply NLP techniques to extract insights from large-scale datasets, with opportunities for growth and impact.

Qualifications

• Degree in AI, software development, CS, CE or related field
• Experience programming in C, C++, Java or Golang
• Strong communication and ownership/drive
• Familiar with open source big data frameworks (Hadoop/Hive/Flink/Spark/Kafka/HBase/Redis/RocksDB/ElasticSearch)
• Familiar with Java and C++ for big data roles

Responsibilities

• Build and maintain high-performance online services and data pipelines for TikTok Live recommendation systems
• Design and develop high-performance computing frameworks and storage systems to support real-time live streaming scenarios
• Build globalized large-scale recommendation systems for live broadcast use cases
• Ensure production system stability through troubleshooting, mechanism design, and tooling development
• Develop data analytics and visualization capabilities to transform raw data into actionable insights
• Apply data mining, machine learning, and NLP techniques to extract insights from large-scale datasets

Skills

Programming languages (C/C++, Java, Go

Communication skills

Problem solving

Education

Bachelor's or Master's in AI/CS/CE or related field

Tools

Hadoop

Hive

Flink

FlinkSQL

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok 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 TikTok, 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.

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction:

Our Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our 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. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Responsibilities

- Build and maintain high-performance online services and data pipelines for TikTok Live recommendation systems.

- Design and develop high-performance computing frameworks and storage systems to support real-time live streaming scenarios.

- Build globalized large-scale recommendation systems for live broadcast use cases.

- Ensure production system stability through troubleshooting, mechanism design, and tooling development.

- Develop data analytics and visualization capabilities to transform raw data into actionable insights.

- Apply data mining, machine learning, and NLP techniques to extract insights from large-scale datasets.

Qualifications

Minimum Qualifications:

- Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.

- Experience programming in at least one of the following programming languages: C, C++, Java or Golang

- Effective communication skills and a sense of ownership and drive

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc. for big data roles.

- Familiar with Java, C ++ and other programming languages for big data roles.

- Strong coding and trouble shooting ability

Preferred Qualifications:

- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus

- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver

- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment