Machine Learning Engineer, Marketplace
Core
Build ranking, matching, and recommendation models for a global talent marketplace to optimize candidate-job alignment and hiring outcomes.
Role type
Senior IC machine learning engineer (marketplace)
Builds
Search and ranking systems, candidate-job matching models, recommendation engines, and real-time/batch inference pipelines for a talent network.
Domain
AI-driven talent marketplace / human intelligence platform
Deliverable
production ML models
Required skills
ranking and recommendation systems, search and matching algorithms, model design and objective functions, full applied ML stack (data, features, training, inference), engineering fundamentals
Preferred skills
experience with sparse/delayed labels, cold start problems, heterogeneous supply and demand, evaluation and experimentation frameworks
Technologies
Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
Responsibilities
Design and implement ranking and matching systems for candidates and opportunities; build retrieval, scoring, and decision pipelines; develop feedback loops learning from downstream hiring outcomes; optimize models for fill rate, quality, speed, and conversion; build evaluation frameworks connecting model performance to business results
Seniority
Senior, hands-on IC