Machine Learning Engineer, Marketplace
Core
Build ML models and decision systems for a talent marketplace hiring engine, optimizing candidate-job matching, search, ranking, and allocation.
Role type
Senior IC machine learning engineer (marketplace)
Builds
Ranking and matching systems, recommendation models, retrieval/scoring pipelines, and real-time/batch inference systems for a global talent network.
Domain
AI-driven talent marketplace and hiring technology
Deliverable
production ML models
Required skills
ranking, recommendation, search, matching, marketplace optimization, model design, objective function definition, evaluation, tradeoff analysis, full applied ML stack (data, features, training, inference), engineering fundamentals
Preferred skills
experience with embeddings, structured attributes, behavioral signals, delayed/incomplete labels, cold start, noisy feedback, heterogeneous supply/demand
Technologies
Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
Responsibilities
Design models balancing marketplace objectives (fill rate, quality, speed, conversion); build feedback loops learning from downstream hiring outcomes; develop evaluation frameworks connecting model performance to business results; operate retrieval and scoring pipelines at global scale.
Seniority
Senior, hands-on IC