SquarePeg

NLP Engineer

• Be the technical force behind our core matching algorithms and work directly with the founding team of 12
• Build and maintain taxonomies for candidate and job attributes; bootstrap gold datasets and evaluation pipelines
• Extract and normalize entities from resumes and job descriptions; craft and optimize prompts and fine-tuned models
• Develop and refine retrieval, ranking, and scoring using embedding-based methods and LLMs
• Refine proprietary scoring algorithms that evaluate candidate-job compatibility
• Conduct deep-dive analyses to identify patterns in successful hires and optimize our recommendation engine
• Implement innovative NLP solutions that understand context, intent, and nuance in hiring language
• Design and implement robust data pipelines that can handle massive volumes of resume and job posting data
• Build sophisticated entity resolution systems to normalize and deduplicate candidate profiles across multiple data sources
• Create scalable data architectures that power real-time matching at scale
• Collaborate directly with product team to translate business requirements into technical solutions
• Own the end-to-end ML lifecycle from experimentation to production deployment
• Continuously iterate on algorithms based on customer feedback and performance metrics

AI/NLP Engineer