Jobs

    Machine Learning Engineer - Singapore - BYTEPLUS PTE. LTD.

    BYTEPLUS PTE. LTD.
    BYTEPLUS PTE. LTD. Singapore

    1 week ago

    Default job background
    Description
    Roles & Responsibilities

    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. Status quo? Never. Courage? Always.

    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, 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

    Qualifications

    Bachelor's degree or above majoring in Computer Science, or related fields, with 3+ years of experience building scalable system;

    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.

    Tell employers what skills you have

    TensorFlow
    Machine Learning
    Sponsorship
    MongoDB
    Big Data
    Architectural
    Software Engineering
    Scripting
    Data Mining
    PyTorch
    Python
    Writing
    Communication Skills
    Statistics
    Data Science
    Debugging


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