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Senior Algorithm Engineer, E-Commerce; Conversational AI

Job in Seattle, King County, Washington, 98127, USA
Listing for: TikTok
Full Time position
Listed on 2026-07-15
Job specializations:
  • Customer Service/HelpDesk
Salary/Wage Range or Industry Benchmark: 202160 - 368220 USD Yearly USD 202160.00 368220.00 YEAR
Job Description & How to Apply Below
Position: Senior Algorithm Engineer, TikTok E-Commerce (Conversational AI)

Senior Algorithm Engineer, Tik Tok E-Commerce (Conversational AI)

Location:

Seattle

Employment Type:

Regular

Job Code: A02606

Responsibilities
  • Develop AI-Powered Customer Service Systems:
    Design and implement an AI-driven conversational customer service agent that can handle e-commerce inquiries, complaints, refunds, dispute resolutions, and logistical issues, replacing traditional human customer service agents.
  • LLM Post-Training & Data‑Efficient Learning:
    Apply state-of-the-art LLM post‑training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses with minimal labeled data.
  • Benchmark and training data construction:
    Identify challenging customer service interactions, such as policy clarifications, dispute handling, and multi‑turn complaint resolution, and construct specialized datasets to enhance AI training.
  • Develop Multilingual Customer Support:
    Build AI models capable of handling customer service interactions across multiple languages and cultural contexts, ensuring accurate translation and appropriate responses for a diverse global audience.
  • Optimize Model Efficiency & Deployment:
    Work on model compression, quantization, and efficient inference techniques to ensure the AI customer service assistant can run at scale with low latency and high reliability.
  • Develop AI Customer Support Systems:
    Build and optimize AI‑driven customer service models capable of handling high‑volume, complex user inquiries while ensuring high response accuracy and reliability.
  • Enhance LLM‑Based Customer Interaction Models:
    Implement LLM post‑training strategies to improve customer support interactions, reducing errors, hallucinations, and irrelevant responses.
  • Create Automated Dispute Resolution & Policy‑Adaptive AI:
    Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses.
  • Develop Multilingual Support & Translation Models:
    Enhance the platform’s AI translation capabilities for real‑time multilingual customer service interactions, ensuring smooth cross‑language communication.
  • Refine Response Evaluation Metrics:
    Define and implement quality evaluation metrics for AI‑generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization.
  • Enable AI‑Seller

    Collaboration:

    Build AI‑powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently.
  • Optimize Large‑Scale Model Deployment:
    Work on model compression, inference optimization, and edge AI deployment to ensure real‑time, high‑quality customer service experiences at scale.
  • Qualifications

    Minimum Qualifications
    • Bachelor’s degree or higher in computer science, computer engineering, statistics, applied mathematics, data science or related fields.
    • At least 5 years of work experience in the related field.
    • LLM Development & Post‑Training Expertise:
      Experience in fine‑tuning, distillation, or reinforcement learning of large language models for conversational AI applications.
    • Multilingual AI Development:
      Proficiency in multilingual NLP, machine translation, and cross‑lingual dialogue modeling.
    Preferred Qualifications
    • E‑commerce Business Acumen:
      Understanding of e‑commerce policies, dispute resolution workflows, and merchant‑buyer interactions to enhance AI service design.
    • Advanced NLP & Deep Learning:
      Strong grasp of AI agents, retrieval‑augmented generation, mixture of experts, sparse attention, reinforcement learning, inference time scaling, etc. for improving AI dialogue quality.
    • Scalability & Efficiency:
      Experience in distributed model training, low‑latency inference, and edge AI for large‑scale customer service applications.
    Job Information

    The base salary range for this position in the selected city is $202,160 - $368,220 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…

    Position Requirements
    10+ Years work experience
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