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

TIKTOK PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

TikTok Singapore is seeking talented graduates/early-career ML engineers to join our E-commerce recommendations team. You will work on large-scale billion-level recommender systems, building models for candidate generation and ranking, and deploying real-time data pipelines.

The role involves collaborating with data scientists and software engineers, evaluating models, and improving user engagement. Applicants should have a degree in CS/CE and experience with ML frameworks.

Qualifications

• Bachelor's or Master's degree in software development, CS, or a related technical discipline.
• 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 at least one programming language like C++ or Python.

Responsibilities

• Participate in building large-scale E-commerce recommendation algorithms and systems (e.g., commodity, live stream, and short video recommendations).
• Build user interest models and design algorithms to explore latent interests.
• Design and iterate on models for candidate generation and ranking, including real-time data pipelines and feature engineering.
• Design and build supporting/debugging tools as needed.
• Support production of scalable ML models.
• Focus on processing large volumes of real-time, unstructured data for AI/ML deployment.
• Run experiments to test model performance and resolve issues.
• Collaborate in a team, applying statistics, scripting and programming skills.
• Work with software platforms where models are deployed.

Skills

Applied ML

Programming skills

Problem solving

Education

Bachelor's or Master's in CS/CE

Tools

TensorFlow

PyTorch

C++/Python

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.About the Team

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

1. 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. 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. 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. 4. Design and build supporting/debugging tools as needed.
5. 5. Support the production of scalable and optimised AI/machine learning (ML) models.
6. 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. 7. Run experiments to test the performance of deployed models, and identify and resolve bugs that arise in the process.
8. 8. Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
9. 9. Work with the relevant software platforms in which the models are deployed.

Qualifications

Minimum Qualifications

1. 1. Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. 2. Strong programming and problem-solving ability.
3. 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. 4. Experience in Deep Learning Tools such as tensorflow/pytorch.
5. 5. Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

1. 1. Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
2. 2. 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.