Algorithm Engineer Graduate (Global Live - Strategy) - 2026 Start (PhD)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading tech company in Singapore is seeking passionate PhD candidates in Computer Science for a role focused on optimizing live streaming experiences. Candidates should be adept in C/C++ and Python, with a solid understanding of machine learning algorithms. This opportunity involves collaborating on product features that enhance user engagement and monetization strategies in a high-performance environment.

Benefits

Yoga and fitness incentives

Multiple insurances

Stock options

Career growth opportunities

Flexible working hours

Housing subsidies

Meal allowances

Qualifications

• Currently pursuing a PhD in Computer Science or a quantitative engineering field.
• Familiarity with C/C++/Python development.
• Knowledge of machine learning and deep learning algorithms.

Responsibilities

• Optimize ByteDance LIVE monetization business for global users.
• Develop models to analyze user interaction and consumption.
• Participate in product discussions to understand user behavior.

Skills

C/C++

Python development

Machine learning algorithms

Deep learning algorithms

Data analysis

Education

PhD in Computer Science or related field

Tools

Linux multi-threaded/multi-process

Flink

Spark

Hive

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
• Six insurances and one fund
• Five insurances and one fund
• Stock options
• Positive team atmosphere
• Career growth opportunity
• Paid leave
• Flat organization
• 100+ mil users
• Industry experts
• Meal allowance
• Meals provided
• Competitive compensation
• Flexible hours
• Housing subsidy

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:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;
2. Mine and interfere potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;
3. Make detailed analysis on user data and system data to find out user experience optimization zoom;
4. Other work like user growth strategy, cold-start strategy, etc.

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.

Job Description

1. Participate in the optimization of ByteDance LIVE monetization business and serve the LIVE experience of billions of global users;
2. Adopt cutting-edge machine learning models 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;
3. Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business.

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.

Qualifications

Minimum Qualifications

1. Currently pursuing a PhD in Computer Science, engineering quantitative field
2. Familiar with C/C++/ Python development, familiar with Linux multi-threaded /multi-process
3. Familiar with commonly used machine learning and deep learning algorithms, including but not limited to boosting machine, DNN, reinforcement learning, etc.
4. Solid maths foundation, including probability statistics, numerical optimization, etc., sensitive to data, good at discovering, analyzing and solving problems from data
5. Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience

Preferred Qualification

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

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 [e-mail]