Algorithm Engineer (Recommendation) - Video Recommendation-Music

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

Job summary

A leading technology firm is seeking a skilled professional for its Music Recommendation Team. This role focuses on building advanced recommendation systems and algorithms to improve user experiences and guide music trends effectively. Candidates should have a strong background in machine learning and programming, along with excellent problem-solving abilities.

Qualifications

• Minimum 2 years of experience in machine learning or recommendation systems.
• Strong coding skills in Python, Java, or C/C++.
• Familiar with TensorFlow/PyTorch/MXNet.

Responsibilities

• Develop recommendation systems to enhance music discovery on TikTok.
• Run experiments to test model performance and resolve issues.
• Collaborate with cross-functional teams to promote TikTok Music business.

Skills

Machine Learning

Recommendation Systems

Python

Java

C/C++

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

MXNet

Job description

About the Team

The TikTok Music Recommendation Team is dedicated to leveraging recommendation-related technologies to continually enhance the music ecosystem of the TikTok. At the user level, we assist listeners in discovering, enjoying, and utilizing music for video creation through personalized recommendation algorithms. At the musical level, we influence and guide music trends by improving music ecosystem and refining promotional strategies, thereby amplifying TikTok's influence within the music industry.

Responsibilities

- Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for user can better discover and consume music in TikTok.

- Build industry leading recommendation systems for providing accurate music recommendations and high-quality music experience during the user's creation process, improving user's creative experience.

- Focus on building algorithms for music promotion, guiding music trends and amplifying TikTok Music's influence within the music industry.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work together with cross functional teams, such as product managers and data analysts, to grow TikTok Muisc business.

Minimun Qualifications

- Bachelor's degree or above majoring in Computer Science, or related fields.

- 2 years and above relevant experience in one or more of the following areas: machine learning, recommendation systems or other related areas, with solid experience with data structures and algorithms.

- Strong coding skills in at least one of the following programming languages, e.g. Python, Java, C/C++, etc.

- Familiar with the training and deployment of one or more framework models of TensorFlow/PyTorch/MXNet.

- Able to break down and solve problems independently with good teamwork and a passion for tackling challenging problems

- Excellent business sense and communication skills, able to work with PM to promote business development