Big Data 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

Yoga and fitness

Stock options

Positive team atmosphere

Career growth opportunity

Paid leave

Flat organization

100+ mil users

Industry experts

Competitive compensation

Flexible hours

Job summary

TikTok is seeking a talented graduate to join our Live Recommendation Architecture Team in Singapore. You will help design and optimize the architecture for live broadcast recommendations, focusing on stability, scalability, and high availability across offline and online data paths.

As part of a fast-moving, global team, you will collaborate with machine learning engineers to build scalable storage and computing systems, apply data mining and ML techniques, and contribute to industry-leading

Qualifications

• Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
• Familiar with many open source frameworks in the field of big data: Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
• Familiar with Java, C++ and other programming languages.
• Strong coding and trouble shooting ability.

Responsibilities

• Design and implement offline data architecture for large-scale recommendation systems.
• Design scalable storage and computing systems for high performance.
• Trouble-shooting of the production system; ensure stable operation and high availability.
• Build distributed storage and computing infrastructure for massive data and large-scale business systems.
• Develop analytics to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• Apply data mining, data modeling, NLP, and ML to extract and analyze information from large datasets.
• Visualize, interpret, and report data findings; may create data reports.

Skills

Java

C++

Troubleshooting

Agile

Product ownership

Creative problem solver

Team player

Collaboration

Education

Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering 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.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

• Design and implement reasonable offline data architecture for large-scale recommendation systems


• Design and implement flexible, scalable, 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 modeling, 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 data reports as well

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.


• 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.


• Familiar with Java, C ++ and other programming languages


• Strong coding and trouble shooting ability

Preferred Qualifications:

• 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