Algorithm Engineer Graduate (TikTok Shop Global E-Commerce, Supply Chain and Logistics) - 2026 [...]

TikTok; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading tech company in Singapore is looking for talented final year PhD graduates in Computer Science or related fields to optimize global logistics through data analysis and machine learning. Successful candidates will work on innovative projects and contribute to enhancing user experience in e-commerce services. Strong programming skills in Python/Java and a passion for collaboration are essential.

Benefits

Stock options

Career growth opportunity

Paid leave

Flexible hours

Positive team atmosphere

Qualifications

• Proficient in machine learning and statistics with practical application experience.
• Familiar with principles and model structures of common ML/DL algorithms.
• Demonstrates outstanding data analysis capabilities and excellent teamwork.

Responsibilities

• Build global logistic and warehousing network using data analysis.
• Optimize merchant/merchandise supply using machine learning techniques.
• Develop intelligent systems for the supply chain and logistics.

Skills

Machine learning

Data analysis

Deep learning

Programming in Python/Java

Education

Final year PhD in Computer Science or engineering

Tools

TensorFlow

PyTorch

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.

Job highlights

• Yoga and fitness
• Stock options
• Positive team atmosphere
• Career growth opportunity
• Paid leave
• Flat organization
• 100+ million users
• Industry experts
• Competitive compensation
• Flexible hours

Responsibilities

Our mission is to optimize the variety & cost‑saving of assortments and the speed & quality of fulfillment to ensure the user experience of global e-commerce services.

• Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operations research methods.
• Create supply chain's data portrait and knowledge graph in various dimensions such as vendors, commodity, place of origin, inventory, production capacity and quality of fulfillment, etc. Predict user needs in different countries and regions, guide inventory preparation and fulfillment, and implement effective pricing. From a comprehensive B‑C perspective, optimize platform efficiency and enhance user experience through diverse supply chain collaboration means.
• Optimize merchant/merchandise supply. Mine high-quality global merchant leads, establish outreach and conversion mechanism to drive merchant growth, and provide continuous incubation and support after merchant onboard. Track international e-commerce trends and TT content trends, identify best‑selling product leads and improve the supply of high‑quality and affordable goods. Collaborate with the supply chain system to build systematic product growth and operation capabilities.
• Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E‑Commerce business.
• Utilize e‑commerce big data and deep learning models to predict end‑to‑end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio‑temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.
• Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse‑level manpower forecasting, inventory‑level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history.
• Participate in the development of merchant and merchanise related algorithm systems including potential merchants mining, tiering and outreach, seller growth diagnosis and seller mission recommendation system, etc. Work closely with e-commerce supply related operation teams and product teams to achieve the growth goal of e-commerce business.
• Based on the massive e-commerce related information mined from different resources, predict the traffic/conversion performance of merchandises using different kinds of machine learning methods, improve the efficiency merchandise operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution. And finally achieve the goal of merchandise growth under certain cost/profit target at the same time.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Qualifications

Minimum Qualifications

• Final year PhD graduates in Computer Science, engineering or quantitative field.
• Proficient in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience.
• Proficient in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.).

Preferred Qualifications

• Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.
• Bonus points for having published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions.

By submitting an application for this role, you accept and agree to global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at [e-mail].