Software Engineer – Global E-Commerce Search Infrastructure (TikTok Shop)

TikTok

Seattle (WA)

On-site

USD 154,000 - 301,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision insurance
401(k) with company match
Paid parental leave
Disability coverage

Job summary

TikTok is hiring a Software Engineer for Global E-Commerce Search Infrastructure in Seattle. You will help build AI search experiences for TikTok Shop, including Q&A cards, in-app chatbot, and visual search surfaces with a focus on relevance and latency.

The role requires strong backend and AI-system knowledge, working across post-training pipelines, model-serving, and multi-agent orchestration. Join a team shipping end-to-end search at global scale.

Qualifications

  • Bachelor’s or Master’s in Computer Science, Computer Engineering, or a related technical field
  • At least 3 years of industry experience building large-scale distributed systems, search infrastructure, or low-latency online services
  • Proficiency in C++, Go, or Java (C++ preferred); strong systems fundamentals — data structures, OS, networking, multithreading, and Linux performance tuning
  • Solid grasp of LLM and agent technologies — RAG, tool use, and multi-turn reasoning — with a track record of contributing to production AI systems
  • Excellent system design instincts; able to independently architect and ship reliable, high-performance services; strong communication and ownership

Responsibilities

  • Build AI Search Agents: Design and ship ReAct-based agents with planning, memory, and tool use; implement DAG workflows and RAG pipelines for multi-turn shopping assistance
  • Own the unified Agent Harness across Q&A cards, in-app chatbot, and visual search surfaces
  • Improve LLM Query Understanding: Drive multi-turn conversation, cross-lingual analysis, and LLM reasoning chains for accurate results; optimize answer generation pipelines for quality and latency
  • Build Personalized Memory Infrastructure: Design high-throughput storage and retrieval for long-term user profiles and real-time memory for low-latency serving
  • Contribute to Training and Inference Infrastructure: Collaborate on post-training pipelines and model-serving infrastructure to accelerate experimentation and latency targets
  • Ship Research to Production: Bridge research and engineering to evaluate innovations and land new capabilities in production

Skills

Distributed systems
Low-latency online services
LLM and agent technologies
System design
Communication & ownership

Education

Bachelor’s or Master’s in CS/Engineering or related field

Tools

C++
Go
Java

Job description

Software Engineer – Global E-Commerce Search Infrastructure (TikTok Shop)
Location

Seattle

Employment Type

Regular

Job Code

A08571

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Responsibilities

We're building the next-generation AI search and shopping assistant for TikTok Shop, TikTok's global commerce platform, — powering Q&A cards, in-app chatbot, and visual search experiences that help billions of users discover products, explore stores, and shop through natural conversation. Our team owns the full search stack: from retrieval and ranking to multi-agent LLM engines, post-training infrastructure, and personalized memory. We translate cutting-edge research into production systems at global scale, with a focus on relevance, latency, and fast algorithm iteration.Responsibilities:- Build AI Search Agents: Design and ship ReAct-based agents with planning, memory, and tool use; implement DAG workflows and RAG pipelines for multi-turn shopping assistance and query understanding. Own the unified Agent Harness across Q&A cards, in-app chatbot, and visual search surfaces — with MCP tool-chain integration and end-to-end A/B support.- Improve LLM Query Understanding: Drive multi-turn conversation, cross-lingual analysis, and LLM reasoning chains for accurate, trustworthy search results; optimize answer generation pipelines (quantization, KV cache, continuous batching) for quality and latency.- Build Personalized Memory Infrastructure: Design high-throughput storage and retrieval for long-term user profiles and real-time memory (MemAgent); build near-real-time feature pipelines over billion-scale behavior sequences for low-latency serving of personalized signals.- Contribute to Training and Inference Infrastructure: Collaborate on post-training pipelines (SFT, RL, distillation) and model-serving infrastructure (tensor parallelism, speculative decoding, PD separation) to accelerate experimentation and hit latency targets.- Ship Research to Production: Bridge research and engineering — partner with algorithm teams to evaluate agent and LLM innovations, accelerate adoption, and ensure new capabilities land stably in production at scale.

Qualifications

Minimum Qualification(s):- Bachelor’s or Master's in Computer Science, Computer Engineering, or a related technical field.- At least 3 years of industry experience building large-scale distributed systems, search infrastructure, or low-latency online services.- Proficiency in C++, Go, or Java (C++ preferred); strong systems fundamentals — data structures, OS, networking, multithreading, and Linux performance tuning.- Solid grasp of LLM and agent technologies — RAG, tool use, and multi-turn reasoning — with a track record of contributing to production AI systems.- Excellent system design instincts; able to independently architect and ship reliable, high-performance services; strong communication and ownership.Preferred Qualification(s):- Background in large-scale search, recommendation, advertising, or personalization systems — particularly e-commerce search at 100M+ user scale.- Experience shipping agentic systems or RAG pipelines in production — ReAct, tool calling, DAG orchestration, or MCP integrations.- Familiarity with LLM inference optimization — quantization, KV cache, speculative decoding, tensor parallelism — or hands-on experience with vLLM, TensorRT-LLM, or SGLang.- Experience with post-training workflows: SFT, RL (RLHF / PPO / GRPO), distillation, or reward model design.- Research publications at NeurIPS, ICML, ACL, CVPR, RecSys, or OSDI.

Job Information

The base salary range for this position in the selected city is $153900 - $300960 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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, 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.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

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