Machine Learning Engineer, Ranking & Retrieval

Software Directory; États-Unis; À distance; USD 150 000 - 200 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

ML engineering

Ranking & retrieval

Information retrieval

Model training

Production deployment

Query understanding

Formation

Bachelor's degree in CS/ML

Outils

OpenSearch

Elasticsearch

TypeScript

Description du poste

Machine Learning Engineer, Ranking & Retrieval

Remote Unspecified Unspecified

Description

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible.

Your Impact at ClickUp

You own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first.

Core Responsibilities

• Train, deploy, and serve ranking models in production, owning the full ML lifecycle
• 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
• 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

Technical Requirements

• Bachelor's degree in Computer Science, Machine Learning, or related field
• 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 ranker model training: feature engineering, pipelines, offline evaluation
• Experience building hybrid (lexical + vector) retrieval systems
• Experience running embedding inference at large scale
• Strong query understanding fundamentals: intent modeling, query expansion

Preferred Qualifications

• Permission-aware retrieval and multi-tenancy experience
• Indexing large-scale user-generated content (not small or static datasets)
• Hands-on experience with OpenSearch or Elasticsearch
• Sharding, index management, and real-time ingestion at scale
• Background in NLP, semantic search, or agentic retrieval
• Experience with TypeScript in backend systems

Join Our Mission

At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive!

#LI-REMOTE

Equal Opportunity Employer

ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Privacy Notice

ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice.

If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.

Visa Sponsorship

Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.

AI Processing Notice

ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at [e-mail].