AI Machine Learning Engineer: AI Shopping Agents

Overview

Job Description

Responsibilities

• - Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions
• - Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing
• - Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations
• - Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems
• - Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features
• - Improve the speed, quality, and efficiency of our AI systems and engineering processes
• - Take ownership of systems and designs from conception through to deployment and maintenance

Required Skills

• - 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP
• - Excellent skills in delivering and communicating business value
• - Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions
• - Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)
• - Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus
• - Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)
• - Solid understanding of ML evaluation methodologies and key IR metrics
• - Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks

Benefits

• - Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• - Fully remote team - choose where you live
• - Work from home stipend! We want you to have the resources you need to set up your home office
• - Apple laptops provided for new employees
• - Training and development budget for every employee, refreshed each year
• - Maternity & Paternity leave for qualified employees
• - Work with smart people who will help you grow and make a meaningful impact
• - Regular team offsites to connect and collaborate