Remote ML Engineer, Ranking & Retrieval

Devconnectplatform; United States; Remote; USD 200,000 - 250,000; Full time

Job summary

ClickUp is seeking a Machine Learning Engineer to own the ranking and retrieval systems powering search across our platform. You will build, deploy, and monitor models that determine surface ranking for millions of users, while advancing features and evaluation frameworks.

The role emphasizes processing large-scale content, multi-tenant permissions, and integration with backend services. You will work closely with AI, search infrastructure, and backend teams in a remote-friendly setting.

Qualifications

• 5+ years of ML engineering experience focusing on ranking, retrieval, or information retrieval.
• Experience owning full ML lifecycle: training, deployment, and serving models in production.
• Hands-on ranker model training: feature engineering and offline evaluation.
• Experience building hybrid lexical+vector retrieval systems.

Responsibilities

• Train, deploy, and serve ranking models in production across a multi-tenant platform.
• Develop ranker features, training pipelines, and offline evaluation tools.
• Design and scale hybrid retrieval with lexical and vector search components.
• Collaborate with infrastructure, AI, and backend teams to improve search quality.

Skills

ML engineering

Ranking & retrieval

NLP concepts

Query understanding

Education

Bachelor's degree in Computer Science/ML or related

Tools

OpenSearch/Elasticsearch

TypeScript

Python

HNSW indexing

Job description

ClickUp is seeking a Machine Learning Engineer to own the ranking and retrieval systems powering search across our platform. You will build, deploy, and monitor models that determine surface ranking for millions of users, while advancing features and evaluation frameworks.

The role emphasizes processing large-scale content, multi-tenant permissions, and integration with backend services. You will work closely with AI, search infrastructure, and backend teams in a remote-friendly setting.