Remote ML Engineer, Ranking & Retrieval at Scale

Software Directory; United States; Remote; USD 150,000 - 200,000; Full time

Job summary

ClickUp is seeking a Machine Learning Engineer focused on ranking and retrieval to own the end-to-end ML lifecycle from training to production serving. You will implement scalable ranking features, hybrid retrieval systems, and embeddings inference across a multi-tenant platform, collaborating with AI and backend teams.

The role emphasizes strong query understanding, multi-tenant permissions-aware retrieval, and large-scale data processing in a remote, AI-native environment.

Qualifications

• Bachelor's degree in CS, ML, or related field.
• 5+ years ML engineering in ranking/retrieval.
• Full ML lifecycle ownership: training, deploying, serving.
• Experience building hybrid lexical + vector retrieval.

Responsibilities

• Train, deploy, and serve ranking models in production.
• Build ranker features and training pipelines.
• Design scalable hybrid retrieval with lexical + vector search.
• Run embedding inference at billions of documents.
• Improve query understanding with intent modeling.
• Create measurement frameworks to evaluate search quality.
• Collaborate with Search Infrastructure, AI, and backend teams.

Skills

ML engineering

Ranking & retrieval

Information retrieval

Model training

Production deployment

Query understanding

Education

Bachelor's degree in CS/ML

Tools

OpenSearch

Elasticsearch

TypeScript

Job description

ClickUp is seeking a Machine Learning Engineer focused on ranking and retrieval to own the end-to-end ML lifecycle from training to production serving. You will implement scalable ranking features, hybrid retrieval systems, and embeddings inference across a multi-tenant platform, collaborating with AI and backend teams.

The role emphasizes strong query understanding, multi-tenant permissions-aware retrieval, and large-scale data processing in a remote, AI-native environment.