Machine Learning Engineer, LIVE Recommendation - Singapore

TIKTOK PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology firm in Singapore is looking for a qualified candidate to join their Live Streaming Recommendation Core Technology Team. The position requires a Bachelor's degree in computer science, at least 2 years of experience in machine learning or recommendation systems, and the ability to collaborate effectively in a team. This role focuses on building industry-leading recommendation systems and optimizing algorithmic efficiency. Competitive compensation and a dynamic work environment are offered.

Qualifications

• At least 2 years of related work experience.
• Software development experience through hands-on coding.
• Experience in machine learning, recommendation systems, or data mining.

Responsibilities

• Build industry-leading recommendation systems using machine learning.
• Optimize algorithmic efficiency for live streaming content.
• Work with cross-functional teams to grow ByteDance products.

Skills

Machine learning

Data structures

Algorithms

Communication

Teamwork

Education

Bachelor's degree in computer science or related technical discipline

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.

Responsibilities

Team Introduction:

The Live Streaming Recommendation Core Technology Team is primarily responsible for foundational models and distribution pipelines in live streaming recommendations, including model iteration for modules such as precision ranking, first stage ranking, and recall. The team's key focus is optimizing algorithmic efficiency by addressing business challenges unique to live streaming content, deeply understanding user needs, and building industry-leading recommendation models. Additionally, the team serves as a centralized platform to support iterative improvements across various verticals within live streaming, accelerating business growth.

• Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
• Understand product objectives and machine learning techniques; improve model and recommendation strategy;
• Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
• Understand content security strategy and apply ML algorithms to improve content audit process;
• Work with cross functional teams to grow ByteDance product in important regional markets.

Qualifications

Minimum Qualifications

• Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience;
• Solid experience with data structures or algorithms;
• Software development experience through hands on coding in a general purpose programming language;
• Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;
• Strong communication and teamwork skills;
• Passion about technologies and solving challenging problems.

Preferred Qualification

Minimum 3 years relevant work experience from a large-scale internet business.