Machine Learning Engineer - Singapore - BYTEPLUS PTE. LTD.
Description
ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.
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.
Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team.
At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
Join us.
About the Team
BytePlus Recommend helps our user to build a delightful discovery experience.
BytePlus Recommend aims to provide this service to our users as a flexible and efficient tool to incorporate into their business.
Through our services, users will be able to build better user experiences and grow their business further. It enhances every step of the user journey with personalized recommendations.The team provides rich personalized experiences using the latest innovations in machine learning to achieve higher retention, engagement, and revenue, explore flexible recommendation models that cater to our users' specific scenarios and goals, and explore all the need to get users started in an easy-to-use platform.
Responsibilities
- Build industry leading recommendation system for customers.
- Understand machine learning techniques and business objectives, endtoend own recommendation system and responsible for performance, improve recommendation models and strategies.
- 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 with the relevant software platforms in which the models are deployed
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 largescale recommendation systems
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
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