3 months ago
Responsibilities
- Lead query understanding systems that parse natural language, resolve ambiguity, and infer user intent.
- Design and deploy learning-to-rank models using behavioral signals, embeddings, and structured feedback.
- Build and scale entity recognition pipelines for document understanding, contextual disambiguation, and entity-aware retrieval.
- Architect search infrastructure for dynamic document corpora and real-time indexing.
- Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data.
- Improve query rewriting, intent classification, and semantic search using statistical and neural methods.
- Own offline and online relevance evaluation, A/B experimentation, and continual model tuning.
- Collaborate with product and applied research teams to translate user needs into search innovations.
- Write scalable code and influence architecture and roadmap across the relevance and platform stack.
Requirements
- Bachelor's, master's, or PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field.
- At least 7 years of backend engineering experience, including at least 3 years in search, information retrieval, or a related field.
- Strong proficiency in Python and hands-on experience with OpenSearch or Elasticsearch.
- Understanding of traditional and neural information retrieval, including TF-IDF, BM25, vector embeddings, and transformer models.
- Experience with text processing, NLP, relevance tuning, relevance metrics, and large-scale distributed systems.
- Knowledge Graph construction and optimization experience is preferred.
- Strong analytical, communication, collaboration, problem-solving, and independent-working skills.
Benefits
- Flexible, trust-oriented work culture with employee ownership
- Vibrant and dynamic work environment
- Employee benefits intended to support work and personal life
Tech Stack
ElasticsearchPython
Categories
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI – the neutral platform enterprises trust to put AI to work across their business. We connect to every app, system, and process your business runs on, with no data migration, no rip-and-replace, so AI can reliably orchestrate business processes in production, at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500, including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors, Workato turns 14,000+ enterprise systems into one governed execution layer. AI has solved reasoning. The next frontier is execution, with Workato.