Machine Learning Engineer, E-Commerce - USDS Job at TikTok USDS Joint Venture in

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).

Qualifications

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.

Job Information

• Compensation: Base salary range for this position is $129,960 – $246,240 annually.


• Benefits: Day‑one access to medical, dental, and vision insurance, a 401(k) plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, well‑being benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).


• Employment status and location may affect qualification under the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Eligible applicants with arrest or conviction records will be considered according to federal, state, and local laws.