Algorithm Engineer Graduate (Global Live Operation Intelligence) - 2027 Start (PhD)

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok Singapore is seeking a Machine Learning Engineer for the Live Platform Intelligence team, to build and optimize a real-time, high-performance distributed infrastructure for live streaming. You will collaborate with product managers to deliver features that enhance the LIVE experience for creators and viewers worldwide.

The role involves applying ML/DL techniques (DNN, NLP, CV) to improve LIVE revenue, content quality, and user engagement, with a strong emphasis on data-driven decision

Qualifications

• PhD in CS or related field.
• Familiar with ML and deep learning algorithms including DNN, NLP, CV.
• Experience with big data tools such as Flink, Spark, Hive.
• Strong problem-solving and mathematical foundation (probability, statistics, optimization).
• Preferred: experience in large-scale recommender/ads systems or LLMs.

Responsibilities

• Participate in the optimization of ByteDance LIVE business and serve the LIVE experience of billions of global users.
• Adopt cutting-edge machine learning models to improve metrics (LIVE revenue and LIVE content quality).
• Analyze user behavior and provide optimization directions for improvement.

Skills

DNN

NLP

CV

Problem solving

Probability statistics

Numerical optimization

Education

PhD in Computer Science

Tools

Flink

Spark

Hive

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Machine learning

Location:

Employment Type:

Regular

Job Code:

A94381B

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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.

Team Introduction

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers. 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.

• Participate in the optimization of ByteDance LIVE business and serve the LIVE experience of billions of global users.
• Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
• Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.

Qualifications

• Minimum Qualifications- Individuals who are completing or have recently completed a PhD degree in Computer Science or a related discipline.
• Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV, etc.
• Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
• Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization, etc.
• Preferred Qualifications- 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.