C
ClickUp
Machine Learning Engineer
Skills
TypescriptMachine LearningAIElasticsearchNLP / Natural Language Processing
1 month ago
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Important information
Salary:
$200,000 – $250,000 / year
Location:
United States
Work mode:
Remote
Published on:
13 September 2026
What they need
Who you are
- 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
- 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
What the job involves
- 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
- 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
Benefits
- 16" MacBook Pro
- Moving Expenses
- $200/mo commuter benefits
- Team lunches each week
- 401(k) match up to 2%
- Unlimited snacks, kombucha, and cold brew
- Health insurance
- Dental insurance
- ClickUp swag
- Teammate recognition rewards
- Flexible PTO
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