AI/NLP Engineer

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August 26

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SquarePeg

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HR Tech • Recruitment • SaaS

<SquarePeg> is an AI-powered recruiting platform that automates candidate sourcing, screening, enrichment, and applicant tracking to help hiring teams identify top talent faster. It integrates with existing ATS systems or can be used as a standalone SaaS solution, offering transparent, explainable AI scoring, talent rediscovery, passive sourcing, fraud detection, and recruiting analytics to improve hiring outcomes and diversity.

11 - 50 employees

Founded 2021

👥 HR Tech

🎯 Recruiter

☁️ SaaS

📋 Description

• 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

🎯 Requirements

• Deep understanding of machine learning algorithms, particularly in recommendation systems or ranking problems • Experience with prompt engineering, prompt chaining, and LLM fine-tuning • Knowledge of vector databases and semantic search technologies • Familiarity with A/B testing and experimental design • 3+ years of hands-on experience with Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn) • Proven track record in NLP and working with large language models (OpenAI, Anthropic, open-source LLMs) • Experience with data engineering tools and cloud platforms (AWS, GCP) • Strong background in entity resolution, data matching, or similar deduplication challenges • Building and maintaining ontologies • Building datasets and evaluation pipelines • Choosing different methods based on tradeoffs of cost, latency, and accuracy • Opinionated • Data driven • Intellectually curious • Thrive in an environment where you experiment and move quickly • Strong sense of ownership; Can work autonomously

🏖️ Benefits

• This role offers competitive salary, equity, comprehensive benefits, and the chance to be a key player in the future of work. • Growth opportunity: 50 customers in just 7 months—we're solving a real problem that the market desperately needs • Backed by the Best: Top-tier investor support from Next Frontier Capital, Acadian Ventures, and others • Direct Impact: In a team of 12, your work directly shapes product direction and company success • Ground Floor Opportunity: Shape our technical foundation and product as we scale • Cutting-Edge Tech: Work with the latest in AI/ML, from GPT5 to custom transformer architectures