Senior Machine Learning Research Developer

European Tech Recruit; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

European Tech Recruit is partnering with an AI company in Berlin seeking a Senior Machine Learning Research Developer. You will work with ML researchers to translate research into robust implementations and build infrastructure for large-scale experiments.

Hybrid work in Berlin, with focus on scalable ML workloads and high-performance computing. Candidates should have an MSc or higher and 5+ years of industry experience, strong Python and ML framework skills, cloud experience and

Qualifications

• Advanced degree MSc or higher in Machine Learning, Computer Science or related field.
• 5+ years of industry experience designing and implementing complex ML workflows.
• Experience with HPC environments and large-scale ML workloads.
• Proficient with PyTorch, TensorFlow or JAX.
• Experience with AWS, GCP or Azure cloud platforms.
• Familiar with Docker and Kubernetes containerisation.
• Familiar with vector databases and modern data infra.
• Strong software engineering practices: tested, maintainable code.

Responsibilities

• Collaborate with ML researchers to accelerate model training and inference.
• Implement novel ML models, architectures and simulated environments.
• Design workflows for experiments from small to large scale.
• Build tools and infrastructure to optimise compute resources.
• Improve scalability and reproducibility of ML workflows.
• Translate research ideas into production-quality implementations.
• Document and maintain best practices for model development.
• Identify bottlenecks in training/inference and propose fixes.

Skills

ML research

Python

Distributed computing

High-performance computing

Research contributions

Software engineering

Code maintainability

Education

Master's degree in ML/CS or related

Tools

Docker

Kubernetes

Vector databases

Job description

Senior Machine Learning Research Developer

European Tech Recruit are working closely with an exciting AI company committed to advancing research and creating technical solutions that enable safe-by-design AI systems.

They are looking for a talented Senior Machine Learning Research Developer to join them on a hybrid basis in Berlin.

In this role, you will work closely with ML research scientists and engineers to solve challenging training and inference problems involving large-scale models. You will help translate research concepts into robust implementations, develop the infrastructure required to run complex experiments and optimise workflows for high-performance computing environments.

Responsibilities as Senior Machine Learning Research Developer:

• Collaborate closely with ML researchers to accelerate research, model training and inference.
• Facilitate the efficient implementation of novel machine learning models, architectures and simulated environments.
• Design and implement workflows for research experiments, ranging from small-scale experimental scenarios to large-scale projects.
• Develop tools, libraries and infrastructure to optimise the use of computing resources.
• Improve the efficiency, scalability and reproducibility of machine learning development workflows.
• Help translate research concepts and experimental ideas into reliable, production-quality implementations.
• Establish, document and maintain best practices for machine learning model development and experimentation.
• Identify technical bottlenecks across training and inference workflows and develop solutions to address them.
• Collaborate across research, engineering and infrastructure teams to support evolving technical requirements.

Requirements:

• Advanced degree (MSc or higher) in Machine Learning, Computer Science or a related field, or equivalent professional experience.
• 5+ years of industry experience designing and implementing complex machine learning workflows.
• Strong hands-on experience working with high-performance computing environments and large-scale machine learning workloads.
• Extensive experience with one or more major ML frameworks, such as PyTorch, TensorFlow or JAX.
• Demonstrated experience contributing to high-quality research projects in deep learning.
• Experience working with large-scale model training and/or inference.
• Experience working with cloud platforms such as AWS, GCP or Azure.
• Familiarity with containerisation technologies such as Docker and Kubernetes.
• Familiarity with modern data infrastructure and platforms, including technologies such as vector databases.
• Strong software engineering practices, including writing maintainable, well-tested and documented code.
• Understanding of distributed computing and high-performance ML workloads.