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

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

Job summary

TikTok seeks talented engineers to build and optimize a real-time, high-performance distributed infrastructure for LIVE streaming. You will work closely with product managers and cross-functional teams to deliver an exceptional live experience for billions of global users.

Join the Live Platform Intelligence group in Singapore for model-driven operations and data-driven optimization, shaping LIVE revenue and creator engagement with cutting-edge ML approaches.

Qualifications

• PhD in Computer Science or related field required or in final year.
• Strong foundations in ML/DL and statistical methods.
• Experience with big data processing frameworks (Flink/Spark/Hive).

Responsibilities

• Participate in building a real-time, high-performance distributed infrastructure for live streaming.
• Collaborate with product managers to optimize LIVE revenue and creator engagement metrics.
• Analyze user behaviour and provide optimization directions for LIVE platform.
• Engage in product/business discussions and contribute to model-driven operations.

Skills

PhD in Computer Science

Machine Learning

Deep Learning

Big Data

Education

PhD in Computer Science

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.

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.

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 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

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].

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.