Machine Learning Engineer
Summary
Senior machine learning engineer to help Polyaxon build its cloud-native ML automation platform: scaling experimentation, parallel jobs, and hyperparameter tuning with Docker, Kubernetes, and cloud-native tools. Strong software engineering across Python, Go, and TypeScript, plus ML frameworks like TensorFlow and PyTorch.
We are looking for a senior machine learning engineer with software engineering skills.
We expect you to have
- Familiarity with Machine Learning frameworks (Tensorflow, Pytorch, Scikit-Learn, XGBoost, etc.)
- Strong Programming Skills (Python, Golang, TypeScript, JavaScript, C++, etc.)
- Excitement to scale up experimentation, parallel jobs, hyperparameter tuning, automation using Dockers, Kubernetes, Cloud native tools
- Understanding of Distributed systems, Data Streaming, Map Reduce, Graphs, and Storage/File systems
You will
- Join highly motivated, curious, hardworking engineers in the field of ML/AI/Infrastructure
- Work closely with founding team in developing hyperscalable software for ML experimentation and automation
- Enjoy the tough startup journey towards building endurable business
About Polyaxon
We're building a Cloud Native Machine learning Automation Platform. We are making a system that solves reproducibility, automation, and scalability for machine learning and deep learning applications.
With increasingly fragmented landscape of disparate tools, applications, computation resources across different special hardware and cloud providers, Polyaxon unifies and abstracts away infrastructure for easier and highly efficient machine learning and deep learning workflows.