Senior Machine Learning Engineer, E-commerce Recommendation Foundation - USDS

TikTok USDS Joint Venture - Seattle, WA

Hiring: Senior Machine Learning Engineer, E-commerce Recommendation Foundation - USDS Company: TikTok USDS Joint Venture Location: Seattle, WA Job Posted Time: 2026-09-15 18:57:31 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Deep Learning, Information Retrieval, Recommendation Systems, Large Language Models (LLMs), Vision-Language Models (VLMs), Multimodal Learning, Reinforcement Learning, Generative Recommendation, Foundation Models, Python, PyTorch, Model Training, Inference Optimization, System Optimization, Retrieval, Ranking, Re-ranking Experience: - 3+ years of experience in machine learning, deep learning, or information retrieval - Experience in large-scale recommendation system development or large-model training (preferred) - Research experience or publications in LLMs, multimodal learning, reinforcement learning, or generative recommendation (preferred) Required Skills: - Proficiency in Python - Familiarity with mainstream deep learning frameworks (e.g., PyTorch) - Building and optimizing cross-scenario shared Foundation Models for unified modeling and efficient inference - Applying LLM technologies across retrieval, ranking, and re-ranking stages - Model training, inference optimization, and system co-design - Exploring integration of LLMs/VLMs with recommendation systems - Researching end-to-end generative recommendation and system optimization methods Qualifications: - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field - Strong passion for intelligent recommendation systems and a self-driven research mindset - PhD degree in Computer Science, Machine Learning, or a related field (preferred) - Familiarity with pre-training and post-training processes for LLMs or Foundation Models (preferred) - Notable technical achievements in a sub-area (preferred) Compensation: - Base salary range: $198,360 - $416,100 annually - Compensation may vary based on qualifications, skills, competencies, experience, and location - May be eligible for additional discretionary bonuses/incentives and restricted stock units - Day one access to medical, dental, and vision insurance, 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, and wellbeing benefits - 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) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!