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. 🚀
Machine Learning Engineer, Ranking & Retrieval
ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context.
Your Impact at ClickUp
You'll 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.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to [email protected].
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 [email protected].
Skills Required
- Bachelor’s degree in Computer Science, Machine Learning, or a related field
- 5+ years of machine learning engineering experience focused on ranking, retrieval, or information retrieval
- Experience owning the full machine learning lifecycle, including training, deployment, and production model serving
- Hands-on experience training ranker models, including feature engineering, pipelines, and offline evaluation
- Experience building hybrid lexical and vector retrieval systems
- Experience running embedding inference at large scale
- Strong query understanding fundamentals, including intent modeling and query expansion
- Experience with permission-aware retrieval and multi-tenancy
- Experience indexing large-scale user-generated content
- Hands-on experience with OpenSearch or Elasticsearch
- Experience with sharding, index management, and real-time ingestion at scale
- Background in NLP, semantic search, or agentic retrieval
- Experience with TypeScript in backend systems
ClickUp Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ClickUp and has not been reviewed or approved by ClickUp.
-
Strong & Reliable Incentives — Feedback suggests variable compensation is attractive for high performers in customer-facing roles, with healthy on-target-earnings ranges. This indicates incentives are structured to reward above-target performance.
-
Healthcare Strength — Feedback suggests health coverage is robust, with comprehensive medical, dental, and vision options and low out-of-pocket costs reported by some. Wellness and mental health programs further bolster the offering.
-
Leave & Time Off Breadth — Feedback suggests generous or flexible PTO and parental leave are core parts of the package, supported by remote-friendly practices. Additional elements like volunteer time off and paid holidays broaden the time-off mix.
ClickUp Insights
What We Do
ClickUp is the world’s only all-in-one productivity platform that flexes to the way people want to work. It replaces all individual workplace productivity tools with a single, unified platform that includes project management, document collaboration, whiteboards, spreadsheets, and AI. With our headquarters based in San Diego and a rapidly expanding global presence, we are shaping the future of work. Join our team at ClickUp, one of the fastest-growing SaaS companies worldwide, and help millions of users be more productive - saving them at least one day every week.
Why Work With Us
ClickUppers are highly passionate, energetic, and unique people that align in the mission of saving people time and making the world more productive. We're the newcomer, the underdog, but that's where we thrive. Let’s make the world more productive!
Gallery
