Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) - 2027 Start

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance is seeking an innovative applied ML Engineer to contribute to large-scale e-commerce recommendation systems, live stream and short video recommendations. You will develop user interest models, design predictive ranking pipelines, and collaborate on end-to-end ML experiments in a fast-growing tech environment.

Ideal candidates have a strong CS background, hands-on ML experience, and proficiency in C++ or Python, with TensorFlow/PyTorch familiarity.

Qualifications

• Bachelor's degree in Software Development, Computer Science, Computer Engineering, or related field.
• Strong programming and problem-solving ability.
• Experience in applied machine learning with common algorithms.
• Experience with Deep Learning tools such as TensorFlow or PyTorch.
• Experience with C++ or Python.

Responsibilities

• Participate in building large-scale E-commerce recommendation algorithms and systems.
• Build long and short term user interest models and analyze data to extract insights.
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking.
• Build supporting/debugging tools as needed.
• Support production of scalable and optimized ML models.
• Process large volumes of real-time, unstructured data for AI/ML solutions.
• Run experiments to test deployed models and resolve issues.
• Collaborate in a team and apply statistics, scripting and programming knowledge.
• Work with platforms where models are deployed.

Skills

Programming

ML experience

Deep Learning

C++/Python

TensorFlow/PyTorch

Bachelor's degree

Education

Bachelor's degree in CS/SE/related

Master's degree (preferred)

Tools

TensorFlow

PyTorch

C++

Python

Job description

Employment Type:

Regular

Job Code:

A231026A

Responsibilities

• 1. Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
• 2. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
• 3. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
• 4. Design and build supporting/debugging tools as needed.
• 5. Support the production of scalable and optimised AI/machine learning (ML) models.
• 6. 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.
• 7. Run experiments to test the performance of deployed models, and identify and resolve bugs that arise in the process.
• 8. Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• 9. Work with the relevant software platforms in which the models are deployed.

Qualifications

Minimum Qualifications

• 1. Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• 2. Strong programming and problem-solving ability.
• 3. Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
• 4. Experience in Deep Learning Tools such as tensorflow/pytorch.
• 5. Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

• 1. Individuals who are completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• 2. Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
• 3. Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico 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 ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.

As ByteDancers, 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. 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

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.