• 4+ years experiences designing and developing Machine Learning models
• Bachelor’s and/or Master’s degree, preferably in CS/ML or related fields
• Proficiency in software development languages (Python/Java/C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data) and algorithms (e.g., deep learnings, optimization)
• Experience with Tensorflow or PyTorch
• Industry experience in designing and productionizing end-to-end machine learning models (e.g., search ranking, recommendation, personalization, NLP)
• Exposure to architectural patterns of a large, high-scale software applications (e.g, search, recommendation)
• Familiarity with LLM and GenAI concepts and use cases
• Strong product / business sense and can drive product decisions
• Great cross-functional collaboration skills

Desirable

• As a Staff / Senior Machine Learning Engineer on our AI team, you will further accelerate our new AI product development as well as improve our AI model accuracy
• You’ll work very closely with other engineers and cross-functional partners (e.g. PMs, designers, and sales team) to identify opportunities for business impact, understand, refine, and prioritize requirements for Zip AI products and models, drive engineering decisions, and quantify impact
• Some examples include: Zip AI: AI assistant, document extraction, risk detection, intake automation, vendor consolidation, and RFx survey generation
• Zip just launched a suite of AI functionalities (https://ziphq.com/ai) in various areas such as AI document extraction, AI assistant, and AI risk detection. We view AI as a key strategic investment to realize our mission of helping enterprises procure faster, smarter and safer