Algorithm Engineer Intern (Global Live - Strategy) - 2027 Start (PhD)

TikTok; Singapore; On-site; SGD 25,000 - 36,000; Part time

Job summary

TikTok is offering a PhD internship in Singapore to work on real-time live streaming infrastructure and monetization optimization. You will collaborate with product managers to design and evaluate scalable ML solutions and data-driven features that enhance global user experience.

You will contribute to a high-performance distributed system, tackle large-scale data challenges, and participate in cutting-edge research in model-driven strategies for LIVE revenue and engagement.

Qualifications

• Currently pursuing a PhD in Computer Science or a related engineering discipline.
• Familiar with C/C++ and Python development.
• Familiar with Linux, multi-threaded / multi-process environments.
• Familiar with ML/DL algorithms including boosting, DNN, RL, etc.
• Experience with big data frameworks such as Flink, Spark, Hive.

Responsibilities

• Participate in optimizing LIVE monetization and live experience for billions of users.
• Adopt ML models to model massive user behaviour and data; build high-performance services.
• Contribute to product/business discussions and provide data-driven optimization directions.

Skills

C/C++ development

Python development

Linux multi-threading

Machine learning basics

Big data frameworks/Flink

Data analysis

Education

PhD candidate in Computer Science or related field

Tools

Flink

Spark

Hive

Job description

Responsibilities

With the enormous growth of live streaming in recent years, our mission is to inspire real-time interactions and help live streamers connect to people from all corners of the globe.

We are looking for passionate and talented engineers to join us to build and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming in TikTok. You will be deeply involved in the developmental lifecycle of critical product features and collaborate closely with product managers to deliver the best live streaming experience for all live streamers and audience alike.

The Strategy Team's Mission Is To Use Model-driven And Data-driven Ways To Promote Core Indicators On LIVE Revenue And User Engagement, Which Includes

• Build prediction/uplift NN model to improve LIVE feature intelligence;


• Mine and interfere potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;


• Make detailed analysis on user data and system data to find out user experience optimiaztion zoom;


• Other work like user growth strategy, cold-start strategy, etc.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Job Description

• Participate in the optimization of LIVE monetization business and serve the LIVE experience of billions of global users;


• Adopt cutting-edge machine learning model to scientifically model massive user behaviour and consumption data, build high-performance/high-reliability architecture services, and bring users the ultimate experience in LIVE consumption;


• Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business.

Qualifications

Minimum Qualification(s)

• Currently pursuing a PhD in Computer Science or a related Engineer discipline.


• Familiar with C/C++/ Python development, familiar with Linux multi-threaded /multi-process;


• Familiar with commonly used machine learning and deep learning algorithms, including but not limited to boost machine, dnn, reinforcement learning, etc.;


• Solid maths foundation, including probability statistics, numerical optimization, etc., sensitive to data, good at discovering, analyzing and solving problems from data;


• Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience;

Preferred Qualification(s)

• Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred

Job Information

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.