Machine Learning Engineer, Ranking & Retrieval

ClickUp
United States
Workplace: RemoteFull timeUSD 200,000 - 250,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Ownership","Collaboration","Problem-solving","Data-driven decision-making"]

Own the end-to-end machine learning lifecycle for ranking and retrieval within ClickUp’s Search team—training, deploying, and serving models in production. Build ranker features, training pipelines, and offline evaluation frameworks, and scale hybrid retrieval that combines lexical and vector search (including HNSW). Drive query understanding with intent modeling and query expansion, and implement permissions-aware, multi-tenant retrieval grounded in the right context.

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FursaFursa
ClickUp
ClickUp
2 days ago

Machine Learning Engineer, Ranking & Retrieval

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Own the end-to-end machine learning lifecycle for ranking and retrieval within ClickUp’s Search team—training, deploying, and serving models in production. Build ranker features, training pipelines, and offline evaluation frameworks, and scale hybrid retrieval that combines lexical and vector search (including HNSW). Drive query understanding with intent modeling and query expansion, and implement permissions-aware, multi-tenant retrieval grounded in the right context.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the full ML lifecycle for ranking and retrieval, from training to production serving.
  • •Build ranker features, training pipelines, and offline evaluation frameworks.
  • •Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading).
  • •Run embedding inference at billions-of-documents scale.
  • •Implement permissions-aware retrieval for multi-tenant boundaries and build measurement frameworks to improve search quality.

Pay and Benefits

Salary: USD 200,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval.
  • •Proven full ML lifecycle ownership: training, deploying, and serving models in production.
  • •Hands-on experience training ranker models (feature engineering, pipelines, offline evaluation).
  • •Experience building hybrid (lexical + vector) retrieval systems.
  • •Experience running embedding inference at large scale, plus strong query understanding (intent modeling and query expansion).
Experience:5+ yearsInformation retrievalSemantic searchNLPSearch relevance
Education:Bachelor's in Computer Science, Machine Learning, or related field
Skills:OwnershipCollaborationProblem-solvingData-driven decision-making
Tech Stack:HNSWVector searchEmbeddingsOpenSearchElasticsearchTypeScript

Company Brief

ClickUp
ClickUp provides an all-in-one productivity platform that combines tasks, docs, chat, goals, and automation to replace multiple workplace apps and increase team productivity for companies of all sizes.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Diego, United States
Founded: 2017
Glassdoor
Glassdoor: 4.1
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