Senior ML Engineer - Ranking & Retrieval (Remote, US)

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

Benefits offered by this job

Remote work from US

Job summary

ClickUp is seeking a senior Machine Learning Engineer to own ranking and retrieval systems for its large-scale search platform. You will manage the full ML lifecycle from training to production serving on a multi-tenant environment with permission-aware retrieval.

Join a team that collaborates across infrastructure, AI, and backend groups to ship improvements for billions of documents, leveraging hybrid lexical and vector search, embedding inference, and advanced query understanding, with remote

Qualifications

• 5+ years of ML engineering focused on ranking, retrieval, or IR.
• Experience owning full ML lifecycle: training, deployment, and serving.
• Experience building hybrid lexical + vector retrieval systems.
• Familiarity with OpenSearch/Elasticsearch and scalable pipelines.

Responsibilities

• Train, deploy, and serve ranking models in production.
• Build ranker features, training pipelines, and offline evaluation.
• Design and scale hybrid retrieval (lexical + vector) with HNSW.
• Run embedding inference at large scale and improve query understanding.
• Collaborate with Search Infrastructure, AI, and backend teams.

Skills

Machine Learning Engineering

Information Retrieval

Learning to Rank

NLP Fundamentals

Query Expansion

Education

Bachelor's degree in CS/ML

Tools

OpenSearch

Elasticsearch

TypeScript

Job description

ClickUp is seeking a senior Machine Learning Engineer to own ranking and retrieval systems for its large-scale search platform. You will manage the full ML lifecycle from training to production serving on a multi-tenant environment with permission-aware retrieval.

Join a team that collaborates across infrastructure, AI, and backend groups to ship improvements for billions of documents, leveraging hybrid lexical and vector search, embedding inference, and advanced query understanding, with remote