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Software Engineer

💼 Full-time🗓 2026-06-24

Core

Building hyperscalable software for ML experimentation and automation, serving the founding team and startup infrastructure needs.

Role type

Senior IC software engineer (ML infrastructure)

Builds

Cloud native machine learning automation platform

Domain

Cloud computing + Machine Learning infrastructure

Deliverable

production ML models | infrastructure

Required skills

Python, Golang, TypeScript, JavaScript, React.js, Docker, Kubernetes, Distributed systems, Data Streaming, Map Reduce, Graphs, Storage/File systems

Preferred skills

Experience with visualization technologies (D3.js, Plotly, Vega, Kibana), WebPack, ES6

Technologies

Python, Golang, TypeScript, JavaScript, React.js, WebPack, ES6, D3.js, Plotly, Vega, Kibana, Docker, Kubernetes

Responsibilities

Develop hyperscalable software for ML experimentation and automation, work closely with the founding team, scale up experimentation and parallel jobs, implement hyperparameter tuning and automation workflows

Seniority

Senior, hands-on IC

Rewrite
## About the role We are looking for a senior software engineer. We expect you to have: - Strong Programming Skills (Python, Golang, TypeScript, JavaScript, etc.) - Strong web development experience (backend and / or frontend) - Familiarity with latest visualization and frontend technologies (React.js, WebPack, ES6, D3.js, Plotly, Vega, Kibana, 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 the company 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.
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