Role owns the full ML lifecycle for ranking and retrieval on a large multi-tenant platform: building ranker features, training pipelines, offline evaluation, hybrid (lexical + vector) retrieval (including HNSW), large-scale embedding inference, permissions-aware retrieval, and integration with Search Infrastructure and backend teams. Requires 5+ years of ML engineering experience focused on ranking or information retrieval.

Own technical architecture and roadmap for ClickUp's data platform; design systems, frameworks, and abstractions; lead cross-team initiatives across data engineering, analytics, and data science; build and evolve pipelines using AWS serverless services, Snowflake, and dbt; drive cost optimization and platform-level reliability; design infrastructure for AI/ML workloads; and mentor senior engineers.

The role focuses on building and improving real-time search ingestion and serving on backend services (Postgres and OpenSearch/Elasticsearch), enhancing relevance and speed, developing vector/semantic search capabilities, and collaborating with AI and product teams. Requires 5+ years of search engineering experience and hands-on experience with OpenSearch/Elasticsearch, real-time indexing, query and relevance optimization, and familiarity with ML/NLP applied to search.

Hands-on senior engineering role responsible for designing, building, and optimizing real-time speech-to-text pipelines (streaming ASR, VAD, audio processing); improving transcription via context injection and custom vocabulary; developing LLM-powered post-processing (grammar correction, filler removal, mention resolution); building voice-to-action systems to convert natural language into structured workspace commands; evaluating and integrating ASR models (e.g., Whisper, AssemblyAI, Fireworks); and exploring multimodal (screen + voice + text) capabilities across desktop, mobile, web, and browser extension.

Build and maintain a backend AI platform to create, orchestrate, and evaluate multi-agent systems. Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Cohere), use orchestration frameworks like LangGraph, develop evaluation frameworks, address AI privacy and data protection, and integrate search capabilities while collaborating with cross-functional teams.

Join the AI Platform team to design, develop, and maintain a backend platform that enables users to create and manage intelligent agents and their interactions. Work includes integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing AI privacy and data protection scenarios, and integrating search capabilities. The role emphasizes scalability, multi-agent coordination, and collaboration with cross-functional teams.