Machine Learning Engineer - E-commerce Merchant Growth (LLM & Agentic Systems) Singapore Regular

Pangleglobal; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Pangleglobal in Singapore seeks a Machine Learning Engineer to develop LLM-powered systems aimed at enhancing merchant growth in e-commerce. The ideal candidate will possess a Bachelor’s degree in Computer Science, experience in ML and deep learning, and strong programming skills in Python. Responsibilities include deploying ML models and collaborating across teams to drive significant business outcomes. This role is ideal for those who thrive in a dynamic environment where innovative AI solutions are constantly shaped and applied.

Qualifications

• Experience in data mining or deep learning.
• Solid understanding of ML and deep learning fundamentals.
• 2+ years of experience as an ML Engineer.

Responsibilities

• Develop and deploy LLM-powered systems for e-commerce growth.
• Leverage e-commerce data to create actionable insights.
• Collaborate with cross-functional partners to reshape mercants' growth.

Skills

Machine Learning

Deep Learning

Python programming

Data Mining

Operations Research

Natural Language Processing

Education

Bachelor's degree in Computer Science or related fields

Tools

PyTorch

TensorFlow

Job description

Machine Learning Engineer - E-commerce Merchant Growth (LLM & Agentic Systems)

Employment Type: Regular

Job Code: A85832A

About Our Team: We’re the core team building LLM-powered agentic systems that drive and accelerate seller growth across global markets. We bring cutting‑edge AI into production at scale — from applied LLMs and multi‑agent systems to real‑world business impact in one of the fastest‑growing e-commerce ecosystems in the world. We’re looking for brilliant and motivated ML engineers eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and large‑scale intelligent systems to real‑world challenges. If you love building, experimenting, and shaping how AI transforms commerce, we want to talk to you.

Responsibilities

1. Develop and deploy deep learning and LLM‑powered systems for merchant operational tools and global e‑commerce growth scenarios.
2. Leverage large‑scale e‑commerce data to power agentic systems that generate actionable insights — from CRM content generation and store decoration to automated email reply and outreach optimisation.
3. Use ML models to predict seller performance, identify growth gaps, and provide agent‑based recommendations (e.g., campaign design, pricing, and promotions).
4. Collaborate with cross‑functional partners (product, data science, operations) to design and deliver 0‑to‑1 projects that fundamentally reshape how merchants grow, impacting millions of daily sales across key categories (beauty, fashion, health, etc.).
5. Build lead‑scoring models, merchant tiering algorithms, outreach optimisation systems, and knowledge graphs to enhance onboarding and retention efficiency.
6. Apply data mining and predictive modelling to optimise product pricing, promotion, and traffic allocation strategies.
7. Communicate technical insights effectively to both technical and non‑technical stakeholders, fostering a collaborative, data‑driven culture.

Qualifications

Minimum Qualifications

• Bachelor degree and above in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.
• Solid understanding of ML and deep learning fundamentals — classification, regression, NLP, and model optimisation.
• Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
• Demonstrated ability to connect algorithms with business impact; highly self‑driven with strong ownership and curiosity.
• 2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
• Excellent analytical, teamwork, and communication skills.

Preferred Qualifications

• Experience in applied LLMs, multi‑agent systems, or RAG (retrieval‑augmented generation) pipelines.
• Published work in top‑tier conferences (KDD, NeurIPS, ICML, SIGIR, WSDM, WWW, AAAI, IJCAI, RecSys, etc.) or success in ML competitions.
• Hands‑on experience in e‑commerce or other large‑scale, data‑intensive production environments.
• Passion for building agentic systems that drive real‑world business outcomes.

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.