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Machine Learning Engineer

Onsite or remote • Berlin+1💼 Full-time🗓 2026-06-24

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

Rewrite
## About the role We are looking for a senior machine learning engineer with software engineering skills. ## Responsibilities - 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 ## Requirements - 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 ## About the company 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.
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