Note: The job is a remote job and is open to candidates in USA. Temu is a rapidly growing company seeking a highly motivated and experienced Algorithm Engineer, SEM & Growth to join their team. The role involves formulating optimization problems, performing data analysis, and utilizing advanced models to enhance advertising strategies.

Responsibilities

• Formulate and solve optimization problems for cross-channel budget pacing and intelligent bid adjustments across major search platforms
• Perform complex exploratory data analysis (EDA) to evaluate the financial impact of strategic initiatives and the performance of various creative combinations
• Utilize and fine-tune Large Language Models (LLMs) to generate and iterate high-converting ad copy and brainstorm keywords at scale
• Integrate multi-modal/image generation models to produce and optimize visual assets for ads and landing pages
• Implement algorithms to logically organize massive, unstructured keyword lists into coherent ad groups
• Partner closely with data and software engineers to deploy bidding rules, analytical models, and Generative AI pipelines into robust production environments

Skills

• Master‘s degree or PhD in Computer Science, Data Science, Statistics, Operations Research, AI/Machine Learning, or a highly quantitative field
• 2+ years of experience in algorithmic roles, data science, or machine learning, ideally with exposure to both optimization/analytics and NLP/Generative AI
• Strong programming skills in Python and deep proficiency with SQL for complex data extraction, manipulation, and analysis
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and working knowledge of LLMs (e.g., prompt engineering, fine-tuning)
• Deep understanding of statistical concepts, causal inference, and rigorous A/B testing design
• Exceptional analytical problem-solving skills and the ability to adapt to changing business needs across different technical domains
• Direct experience in AdTech, computational advertising, dynamic creative optimization (DCO), or marketing science
• Background in Operations Research, bidding strategies, or budget allocation algorithms
• Experience with text-to-image models (e.g., Stable Diffusion) or multi-modal AI applications
• Familiarity with vector databases and RAG (Retrieval-Augmented Generation) architectures

Benefits

• Medical, Dental, and Vision Insurance Coverage
• Paid Time Off (PTO)
• Paid Sick Leave (in accordance with applicable state and local laws)
• 403(k) Plan

Company Overview

Company H1B Sponsorship