11 часов назад
Machine Learning Engineer Graduate (E-Commerce) - 2027 Start (PhD) (AI)
129 960 - 246 240$
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Описание вакансии
Текст:
TL;DR
Machine Learning Engineer Graduate (E-Commerce) - 2027 Start (PhD) (AI) (LLM/e-commerce): Architecting LLM-based systems for unstructured data and tailored e-commerce experiences with an accent on semantic understanding, model fine-tuning, and multimodal product and video applications. Focus on implementing intent classification and entity extraction, optimizing production model serving with quantization and distillation, and building cross-modal retrieval and video QA capabilities.
Location: Seattle, United States; fully in-person schedule up to 5 days a week
Salary: $129,960–$246,240 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
Joint Venture operates TikTok apps with a focus on U.S. user data protection, cybersecurity, trust and safety, and a global e-commerce ecosystem.
What you will do
- Architect and develop LLM-based systems for high-dimensional unstructured data from text, logs, conversations, and other sources.
- Define semantic understanding frameworks for fine-grained intent classification and entity extraction.
- Apply instruction tuning, RLHF/DPO, and contextual prompt engineering to improve model performance.
- Optimize production model serving using quantization, distillation, FlashAttention, and vLLM.
- Develop multimodal e-commerce models combining language, video, and product representations for classification, video QA, and cross-modal retrieval.
Requirements
- PhD completion or recent PhD graduation in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
- Experience in machine learning, natural language processing, or computer vision.
- Proficiency in at least one of: C++, Python, Go, or Java.
- Availability to commit to an onboarding date by the end of 2027; graduation date and availability must be stated clearly on the resume.
Nice to have
- Experience fine-tuning, distilling, or applying reinforcement learning to large language models for conversational AI.
- Experience with multilingual NLP, machine translation, or cross-lingual dialogue modeling.
- Experience optimizing multimodal e-commerce video and product models.
- Understanding of e-commerce policies, dispute resolution, and merchant-buyer interactions.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Inclusive workplace with reasonable accommodations available during recruitment.
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