Machine Learning Engineer (Recommendation), BytePlus

at  BYTEPLUS PTE LTD

Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

QUALIFICATIONS

• Bachelor’s degree or above majoring in Computer Science, or related fields
• Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;
• Solid programming skills, good programming styles and working habits
• Able to solve problems independently, good teamwork and communication skills;
• Passion for technologies and solving challenging problems.

PREFERRED QUALIFICATIONS

• Experience in large-scale recommendation systems
  ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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

• Build industry leading recommendation system for customers.
• Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for performance, improve recommendation models and strategies.
• Conduct cutting-edge research in machine learning algorithms, and apply the technology to different business scenarios.
• Work with cross functional teams to grow Enterprise Partnership & Solutions business.
• Support the production of scalable and optimised AI/machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
• Work with the relevant software platforms in which the models are deployed