Staff Engineer - Applied ML (Search & Recommendations)

Parspec is revolutionizing material procurement for the $13 trillion USD construction industry by digitizing and organizing the industry's product data. We are seeking a technical Staff Engineer - Applied ML (Search & Recommendations) to lead our Search Retrieval, Ranking and Recommendations.

Requirements

• Semantic Search & Ranking: Own the architecture for our hybrid search engine, blending keyword-based retrieval with dense vector embeddings to improve precision and recall.
• Recommendation Systems: Design and scale personalization algorithms that suggest products based on project specs, historical data, and cross-catalog compatibility.
• Model Fine-Tuning: Lead the fine-tuning of open-source and proprietary LLMs/encoders for specialized construction domain tasks, including NER and relationship extraction from complex documents.
• Vector Infrastructure: Architect and optimize our vector database strategy for high-concurrency retrieval and low-latency ranking.

Benefits

• Competitive salary and benefits
• Family insurance coverage
• Free health teleconsultations
• Learning/upskilling budgets
• Equity in the company
• Flexible hours and a hybrid work setup
• Unlimited PTO