Lead Data Scientist, Search (AI)

TL;DR

Lead Data Scientist, Search (AI): Leading the design of advanced search and recommendation systems that power personalized, omnichannel user journeys with an accent on improving query understanding, retrieval, and ranking. Focus on using state-of-the-art technologies, including LLMs, embeddings, deep learning, and multimodal AI to deliver world-class search capabilities.

Location: USA – Remote

Salary: Up to £150,000

Company

hirify.global is a company offering opportunities to work for a highly skilled and passionate Lead Data Scientist.

What you will do

• Lead the design and implementation of advanced search algorithms, improving query understanding, retrieval, ranking, and page-level optimization.
• Design and deploy ranking algorithms considering content quality, user intent, and experience signals.
• Build AI-driven personalization systems that adapt search results based on user behavior, preferences, and contextual metadata.
• Collaborate with data and search engineers to develop scalable data pipelines supporting large-scale, multimodal datasets.
• Partner with software engineers and architects to design and optimize search infrastructure for performance, reliability, and scale.
• Mentor junior data scientists and ML engineers, helping grow a strong technical community focused on search excellence.

Requirements

• 6+ years of experience in data science, machine learning, or search systems, with 2–3+ years in a technical leadership role.
• Deep experience with search technologies such as Elastic, Solr, or similar platforms, including customization and tuning.
• Strong experience with Python and modern ML/DL frameworks (TensorFlow, PyTorch, OpenAI, LangChain, etc.).
• Expertise in big data and distributed systems (Spark, Kafka, streaming or batch processing systems).
• Experience designing and maintaining APIs and production ML systems.
• Master’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, Physics, or another quantitative field preferred.

Culture & Benefits

• Unique opportunity to lead the design of advanced search and recommendation systems.
• Work at the intersection of AI, machine learning, data science, and search engineering.
• Partner with product, business, and engineering leaders.
• Use state-of-the-art technologies, including LLMs, embeddings, deep learning, and multimodal AI.