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

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 16,000 - 20,000; Full time

Job summary

ByteDance seeks interns for its Global E-Commerce Affiliate Algorithm team in Singapore. You will work on agent runtimes, memory management, and AI-driven content tooling across creator and merchant ecosystems.

You'll post-train/fine-tune LLMs, implement tool integrations, and help build scalable, multilingual production features tracked by GMV and creator/merchant satisfaction. Apply early and specify your start/end dates.

Qualifications

• Pursuing a Bachelor's degree in a technical field such as Software Development, CS, or CE.
• 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 translate it into working code.

Responsibilities

• Build and evolve the agent runtime powering creator/seller agents, orchestrating skills, tools, and context.
• Engineer context and memory for long multi-turn agents (memory, summarization, masking, retrieval).
• Post-train and fine-tune LLMs (SFT/DPO/RL) and build data flywheel signals.
• Design and integrate tools, Skills, and MCP connectors; enable tool search over large inventories.
• Build evaluation with LLM-as-judge and calibration; ensure cost and latency efficiency.
• Develop self-evolving loop with replay, simulator, and Auto-RCA/Auto-GSB/Auto-Policy.
• Deliver an end-to-end surface in 30+ languages, measuring GMV, content, and satisfaction.

Skills

Python

C++

Go

Rust

Java

Education

Bachelor's degree in Software Development/CS/CE

Master's degree (preferred) in Software Development/CS/CE

Job description

Responsibilities

About the Team

The 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.

Job Responsibilities

• 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 offline online 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 Bachelor'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

• Currently Pursuing a Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• 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, 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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.

As ByteDancers, 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. 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

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.