2 months ago
Remote, United StatesSenior
Base Salary
$200k - $250k/yr
Responsibilities
- Train, deploy, and serve ranking models in production while owning the full machine learning lifecycle.
- Build ranker features, training pipelines, and offline evaluation frameworks.
- Design and scale hybrid lexical and vector retrieval, including HNSW with disk offloading.
- Run embedding inference at billions-of-documents scale.
- Improve query understanding through intent modeling and query expansion.
- Build permissions-aware retrieval that respects multi-tenant boundaries.
- Create measurement frameworks to evaluate and improve search quality.
- Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform.
Requirements
- Bachelor's degree in Computer Science, Machine Learning, or a related field.
- At least five years of machine learning engineering experience focused on ranking, retrieval, or information retrieval.
- Proven ownership of the full machine learning lifecycle, including training, deployment, and production serving.
- Hands-on experience with ranker model training, feature engineering, pipelines, and offline evaluation.
- Experience building hybrid lexical and vector retrieval systems.
- Experience running embedding inference at large scale.
- Strong query understanding fundamentals, including intent modeling and query expansion.
- Preferred: permission-aware retrieval, multi-tenancy, large-scale user-generated content indexing, OpenSearch or Elasticsearch, sharding, index management, real-time ingestion, NLP, semantic search, agentic retrieval, or TypeScript backend experience.
Benefits
- Remote work arrangement is indicated by the #LI-REMOTE designation.
- Visa sponsorship for engineering and product roles is based on the business needs of the specific role and is not guaranteed.
- ClickUp is an equal opportunity employer.
Tech Stack
ElasticsearchTypeScript
Categories
About ClickUp
ClickUp builds an all-in-one work management platform for teams, combining tasks, docs, chat, whiteboards, calendars, time tracking, and AI features in a single workspace. It sells SaaS subscriptions with a freemium tier to individuals, SMBs, and enterprises, and integrates with common productivity tools. Founded in 2017 and headquartered in San Diego, the privately held company reports millions of users across project management, collaboration, and knowledge workflows.