Algorithm Engineer - Global Live - Operation Intelligence - Singapore

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking a skilled professional to optimize LIVE business through advanced machine learning techniques. The ideal candidate will hold a Master's degree in Computer Science and possess strong problem-solving abilities. This role involves analyzing user behavior, improving business metrics, and ensuring high-quality LIVE content for millions of users. Join a dynamic team that values innovation and creativity.

Qualifications

• Master's degree or above in Computer Science, or equivalent practical experience.
• Familiar with commonly used machine learning and deep learning algorithms.
• Big data parallel processing experience.

Responsibilities

• Participate in the optimization of ByteDance LIVE business.
• Adopt machine learning models to improve business metrics.
• Analyze user behaviour patterns and provide optimization directions.

Skills

Machine learning algorithms

Deep learning algorithms

Problem-solving skills

Critical thinking

Education

Master's degree in Computer Science or equivalent

Tools

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.

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.

Responsibilities

1. Participate in the optimization of ByteDance LIVE business and serve the LIVE experience of billions of global users.
2. 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.
3. Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.

Qualifications

Minimum Qualifications

• Master's degree or above in Computer Science, or equivalent practical experience
• 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 Qualification

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