Senior Software Engineer (Search / Retrieval)

Join our team as a Senior Software Engineer (Search/Retrieval) and lead the design, development, and optimization of intelligent search systems. You will build end-to-end retrieval pipelines, deploy learning-to-rank models, and architect next-gen search infrastructure. This role offers flexible working arrangements, great employee benefits, professional development opportunities, and dedicated wellness time.

• Lead the design, development, and optimization of intelligent search systems that leverage machine learning.
• Build end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition.
• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.
• The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale
• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)
• Strong proficiency in Python
• Experience with text processing, NLP, and relevance tuning
• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field
• Strong analytical and problem-solving skills
• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields
• Experience with relevance evaluation metrics (NDCG, MRR, MAP)
• Experience with large-scale distributed systems
• Hands-on experience with search engines (Opensearch or Elasticsearch)
• Passion for solving complex search problems
• Strong communication abilities to explain technical concepts
• Collaborative mindset for cross-functional team work
• Self-motivated and able to work independently
• Detail-oriented with strong focus on quality