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

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking a motivated ML Engineer to develop LLM-powered systems that enhance e-commerce growth. This role involves developing deep learning models and collaborating with cross-functional teams to reshape merchant strategies. Candidates should possess a Bachelor's degree in a relevant field, experience in ML applications, and strong programming skills in Python. The position offers a positive team atmosphere and opportunities for professional growth.

Benefits

Stock options

Career growth opportunity

Competitive compensation

Paid leave

Qualifications

• Solid understanding of machine learning fundamentals, including classification and regression.
• Demonstrated ability to connect algorithms with business impact.
• Strong analytical skills and excellent teamwork abilities.

Responsibilities

• Develop and deploy LLM-powered systems for merchant operational tools.
• Leverage large-scale e-commerce data for actionable insights.
• Collaborate with cross-functional partners on merchant growth projects.

Skills

Machine Learning

Python programming

Data Mining

Deep Learning

Natural Language Processing (NLP)

Education

Bachelor degree in Computer Science or related fields

Tools

PyTorch

TensorFlow

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

Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation

Responsibilities

About Our Team

Join the E-commerce Merchant Growth team at TikTok!

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.

Applications are reviewed on a rolling basis — we encourage you to apply early.

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 optimization.
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 optimization systems, and knowledge graphs to enhance onboarding and retention efficiency.
6. Apply data mining and predictive modeling to optimize 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

1. Bachelor degree and above in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.
2. Solid understanding of ML and deep learning fundamentals — classification, regression, NLP, and model optimization.
3. Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
4. Demonstrated ability to connect algorithms with business impact; highly self-driven with strong ownership and curiosity.
5. 2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
6. Excellent analytical, teamwork, and communication skills.

Preferred Qualifications

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