Machine Learning Engineer
Core
Building hyperscalable software for ML experimentation and automation, unifying infrastructure for machine learning and deep learning workflows.
Role type
Senior IC machine learning engineer (ML/AI/Infrastructure)
Builds
Cloud native machine learning automation platform
Domain
Cloud infrastructure + Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Machine Learning frameworks (Tensorflow, Pytorch, Scikit-Learn, XGBoost), Programming (Python, Golang, TypeScript, JavaScript, C++), Distributed systems, Data Streaming, Map Reduce, Graphs, Storage/File systems, Docker, Kubernetes, Cloud native tools
Preferred skills
None stated
Technologies
Tensorflow, Pytorch, Scikit-Learn, XGBoost, Python, Golang, TypeScript, JavaScript, C++, Docker, Kubernetes
Responsibilities
Develop hyperscalable software for ML experimentation and automation, scale up experimentation, parallel jobs, hyperparameter tuning, and automation
Seniority
Senior, hands-on IC
