Machine Learning Engineer

• E-commerce Merchant Growth (LLM & Agentic Systems)

3+ months ago• Singapore
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About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
Size: 5001-10000 employees

Industry: Entertainment & Gaming, Social Media, Technology

Responsibilities:

About Our Team:

Join the E-commerce Merchant Growth team at Tik Tok!
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.

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 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.

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1. Solid understanding of ML and deep learning fundamentals - classification, regression, NLP, and model optimization.
2. Strong programming skills in Python and familiarity with ML frameworks (e.g., Py Torch, Tensor Flow).
3. Demonstrated ability to connect algorithms with business impact; highly self-driven with strong ownership and curiosity.
4. 2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
5. 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, Rec Sys, 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.

Client-provided location(s):Singapore

Job ID: Tik Tok-7565837902103185669

Employment Type: OTHER

Posted: 2025-10-28T20:20:41
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Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

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