ML Platform Engineer 18254
Core
Design, develop, and optimize machine learning models and pipelines, including data preparation, training, evaluation, and deployment for complex attribute prediction and ranking tasks.
Role type
ML Platform Engineer
Builds
End-to-end ML workflows, scalable AI infrastructure, and production-ready model serving tooling
Domain
Machine Learning Engineering / AI Infrastructure
Deliverable
production ML models
Required skills
Python development, full ML lifecycle management, encoder-based model architecture, multi-class classification, data pipeline construction, model evaluation, inference optimization, curriculum learning, automated training-data scheduling, backend systems development
Preferred skills
autoregressive models, self-supervised learning, lightweight frontend applications, multidisciplinary collaboration
Technologies
Python, encoder architectures, modern ML frameworks
Responsibilities
Design and optimize machine learning models and pipelines; Build and maintain end-to-end ML workflows; Develop multi-class classification solutions; Build and optimize data pipelines; Train, evaluate, and monitor models in production; Develop ranking and confidence models; Implement curriculum learning and automated training-data scheduling; Optimize model inference performance; Develop tooling for model serving and monitoring; Collaborate on AI platform development
Seniority
Mid-level, hands-on IC
