Senior AI/ML Engineer - Recommender Systems
October 4
Description
• Analyze millions of structured and unstructured data to identify patterns and insights in user behavior and build meaningful features to improve model performance • Design and implement efficient and reusable features, models and systems for different machine learning applications (classical & deep learned models) in low latency fashion • Contribute to the performance and continued optimization of our recommendation systems: build machine learning models to improve understanding of user preferences, user intent and context to deliver accurate, relevant and personalized recommendations • collaborate with the business, analytics, and engineering counterparts to share the discovered data stories with stats, charts, and formal presentations, and finally propose recommendations to maximize the business impact
Requirements
• Deep knowledge of machine learning, information retrieval, recommender systems, natural language processing or related fields e.g. Learning-to-Rank, Large Language Models, NLP & NLU, Deep Learning, Transfer Learning, Multi-task Learning, Graph Neural Network. A willingness to branch out and learn new domains and approaches • Solid programming skills (e.g. Python, Spark, SQL, scala, java) that enable you to retrieve, analyze and process data, and build machine learning models from scratch • Experienced with deep learning frameworks such as PyTorch and TensorFlow, Large Language Models, Generative AI, Langchain, Transformer models • Superior ability to analyze and interpret the results of product experiments • Employment history preferably a recognizable consumer Internet company • Strong communication skills, both written and verbal • Create and maintain comprehensive documentation for our services ensuring transparency and knowledge sharing with the team • Manage your time independently and effectively to achieve project deliverables, which may require an estimated 40 hours of effort per week • Communicate and collaborate frequently, proactively and effectively in English • Participate in project meetings and provide regular status updates • Participate in on-call pager duty schedules providing timely responses and resolutions to critical issues • Show a commitment to continuous learning and improvement in both technical and soft skills • Ensure consistent availability from 9am to 12pm PST to facilitate team collaboration and meetings
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