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# Machine Learning Engineer, E-Commerce - USDS

- **Company:** Tiktok Inc.
- **Location:** San Jose, CA, United States
- **Salary:** $122,574.0 - $259,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Machine Translation, Natural Language Processing, Named Entity Recognition, Performance Tuning, Service Design, Software Engineering, Unstructured Data, Reinforcement Learning, Large Language Models, Prompt Engineering, Information Technology, Golang, Programming Languages
- **Published:** June 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=17b36bf6f2434c07

## About the Role

Do you have experience in Software engineering?, Minimum Qualifications: - MS or PhD in Computer Science, AI, Mathematics, or a related field. - 1+ years of professional experience in one or more of the following fields: Machine Learning, Natural Language Processing (NLP), or Computer Vision. - Proficiency in software development with at least one of the following programming languages: C++, Python, Go, or Java. Preferred Qualifications: - Experience in fine-tuning, distillation, or reinforcement learning for large language models in conversational AI applications. - Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling. - Experience in developing and optimizing e-commerce video and product multimodal large models, combining LLMs with video/product representations to support tasks like multimodal classification, video QA, and cross-modal retrieval. - A strong understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to inform AI service design.

## Description

About the Team: Global E-commerce is a content-driven business powered by short-form video and live-streaming, dedicated to becoming the premier destination for users to discover affordable, high-quality products. Our team strives to deliver a tailored and efficient shopping experience while upholding a robust governance and risk control framework to ensure platform integrity, merchant compliance, and a secure ecosystem. Responsibilities: - Architect and develop sophisticated LLM-based systems to process high-dimensional unstructured data (e.g., text, logs, conversations) from diverse sources. - Define and implement complex semantic understanding frameworks, including fine-grained intent classification and entity extraction, to achieve deep contextual awareness. - Apply state-of-the-art techniques to enhance model performance, including Instruction Tuning, RLHF/DPO, and Contextual Prompt Engineering. - Optimize model serving for production environments using quantization,
distillation, and efficient attention mechanisms (e.g., FlashAttention, vLLM).


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