Big Data Engineer Graduate (TikTok Application Computing, Data + AI) - 2026 Start (BS / MS)

Roles & Responsibilities

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

About The Team

TikTok's Recommendation Architecture Team is responsible for designing and developing the architecture and computing systems that power the recommendation engines behind products with over a billion users. The team ensures system stability and high availability, abstracts general-purpose real-time and batch computing frameworks, and builds flexible, scalable, high-performance storage systems and computing models. We provide core infrastructure and general-purpose components for key areas such as deduplication, counting, feature generation, training pipelines, and stream-batch computing engines, enabling the success of recommendation services at scale.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Design and implement scalable distributed computing and training systems for large-scale recommendation systems.
• Build flexible, extensible, stable, and high-performance components for offline storage, computing, and training.
• Perform troubleshooting for production systems, and design and develop tools and mechanisms to ensure system stability and reliability.
• Develop industry-leading distributed training and computing frameworks for recommendation systems, providing robust infrastructure for massive datasets and large-scale business systems.

Qualifications

Minimum Requirements

Preferred Qualifications :

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here : https : / / careers.tiktok.com / legal / privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Tell employers what skills you have

MASSIVE

Scala

Analytical Skills

Pipelines

Data Structures

High Availability

Fitness

Reliability

Yoga

PyTorch

Python

Operating Systems

Java

Humility

Software Development

C++