AI Agent Algorithm Engineer Intern (Global E-Commerce, Affiliate) - 2027 Start Singapore Undergraduate/Master Intern - 2027 Start

TikTok; Singapore; On-site; SGD 28,000 - 39,000; Part time

Job summary

TikTok is offering an AI Agent Algorithm Engineer Intern position for a 2027 start in Singapore. The role focuses on building and refining an agent runtime, memory management, and LLM fine-tuning within the Global E-Commerce Affiliate team.

You will work on tool integration, evaluation, and self-improving loops, contributing to production-ready systems across multiple languages. Candidate must be pursuing an undergraduate or master's degree in a related field and demonstrate strong Python and

Qualifications

• Pursuing an undergraduate or master's degree in a technical field.
• Strong Python plus one of C++, Go, Rust, or Java.
• Solid ML/DL/NLP fundamentals with hands-on experience with LLMs or agents.
• Able to read a paper or engineering blog and turn it into working code.

Responsibilities

• Build and evolve the agent runtime powering creator/seller agents, coordinating skills, tools, and context.
• Engineer memory for long multi-turn agents, including context summarization and retrieval.
• Post-train and fine-tune LLMs and create data flywheels from conversations.
• Design and integrate tools, Skills, and MCP connectors, plus tool search for large inventories.
• Build evaluation methods (LLM-as-judge, safety/cost considerations) and close offline-online gaps.
• Develop a self-evolving loop with replay, simulation, and automated policy improvements.
• Own end-to-end surface and ship production-ready features across 30+ languages.

Skills

Python

C++

Go

Rust

Java

ML fundamentals

NLP fundamentals

Reading papers/blogs

Education

Undergraduate or Master's in Software Development/CS/CE

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Technology

AI Agent Algorithm Engineer Intern (Global E-Commerce, Affiliate) - 2027 Start

Location:

Employment Type:

Intern

Job Code:

A53098A

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Responsibilities

About the TeamThe Global E-Commerce Affiliate Algorithm team is dedicated to building a thriving and efficient content-driven e-commerce supply ecosystem, leveraging technology to drive continuous GMV growth. Our core focus areas include the creator growth system, intelligent creator-product search and recommendation engines, and AI-native content creation tools for creators.Centering on creator product selection and business matchmaking, we build unified search and recommendation capabilities that power diverse distribution scenarios—including the Affiliate Product Marketplace, Affiliate Creator Marketplace, and Search & Recommendation—substantially boosting matching and transaction efficiency between creators and merchants. Simultaneously, by leveraging lead mining and creator growth task frameworks, we continuously expand the base of high-quality creators to enhance the depth and diversity of content supply.In terms of product innovation, we build AI-native workflows that provide creators with smart product sourcing, script generation, and content optimization capabilities—empower creators to achieve more efficient content production and sustainable business growth.We are looking for talented individuals to join us for an internship. Our internship program offers students hands‑on experience, industry exposure, and opportunities to apply their knowledge to real‑world challenges while building a strong foundation for personal and professional growth.Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

• Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
• Engineer context & memory for long multi-turn agents — agentic memory (structured note‑taking), context compaction / summarization, context editing / observation masking, and just‑in‑time (retrieve-then-load) retrieval.
• Post‑train and fine‑tune LLMs (SFT / DPO / RL) and build the data flywheel that turns served conversations into training / eval / retrieval signals.
• Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
• Build evaluation — LLM-as-judge with human‑agreement calibration; regression / safety / cost / latency‑aware harnesses; close the offlineonline gap.
• Build the self‑evolving loop — replay + task/environment simulator + Auto‑RCA / Auto‑GSB / Auto‑Policy — so the system continuously improves itself.
• Own one high‑leverage end‑to‑end surface and ship it to production across 30+ languages, measured on real business metrics (GMV, Content, Creator/Merchant satisfaction).

Qualifications

Minimum Qualifications

• Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Strong Python plus one of C++ / Go / Rust / Java
• Solid ML / DL / NLP fundamentals, with genuine hands‑on experience with LLMs or agents (coursework, research, internship, competition, open‑source, or a serious side project)
• Able to read a paper or an engineering blog and turn it into working code.

Preferred Qualifications

• Have built the runtime, not just called an API — even at research / hobby / competition scale: your own agent loop / harness, a memory / context‑management system, a RAG or tool‑use agent, or a fine‑tuned / post‑trained model
• Hands‑on experience in any one of: post‑training (SFT / DPO / RLHF / RLAIF / RLVR, reward modeling); agent systems (harness, context engineering, MCP / Skills, sub‑agents, tool search); evaluation (LLM-as-judge, τ-bench / SWE-bench / GAIA / BFCL); inference & serving (vLLM / TensorRT-LLM, MoE, KV / prompt caching); or multilingual NLP — depth in one is enough, breadth welcome

Job Information

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.