Senior Machine Learning Research Engineer

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

Job summary

Our client in Berlin seeks a Senior Machine Learning Research Developer to join a highly technical team at the forefront of ML research and development. You will work closely with ML researchers and engineers to solve challenging training and inference problems involving large-scale models.

You will translate research concepts into robust implementations, build infrastructure for complex experiments and optimise workflows for high-performance computing environments.

Qualifications

• Degree in Computer Science, Computer Engineering, Software Engineering or a related field.
• MSc or higher in ML, Computer Science or a related discipline, or equivalent professional experience.
• 5+ years' industry experience designing and implementing complex ML workflows.
• Strong hands-on experience with HPC environments and large-scale ML workloads.
• Extensive experience with ML frameworks such as PyTorch, TensorFlow or JAX.
• Experience contributing to high-quality deep learning research.

Responsibilities

• Partner with ML researchers to accelerate research, model training and inference.
• Implement novel ML models, architectures and simulated environments.
• Design workflows for experiments ranging from small-scale research to large-scale projects.
• Develop tools, libraries and infrastructure to optimise compute resources.
• Improve the efficiency, scalability and reproducibility of ML workflows.
• Translate research concepts into reliable, production-quality implementations.
• Establish and maintain best practices for model development and experimentation.
• Identify training and inference bottlenecks and develop solutions.
• Collaborate across research, engineering and infrastructure teams.

Skills

HPC experience

Large-scale ML workflows

Model training & inference

Collaboration across teams

Education

MSc or higher in ML/CS or related field

5+ years industry ML experience

Tools

PyTorch

TensorFlow

JAX

Job description

Our client is a non-profit organisation advancing research and technical solutions for safe-by-design AI systems. They are seeking a Senior Machine Learning Research Developer to join a highly technical team working at the forefront of ML research and development.

You will work closely with ML researchers and engineers to solve challenging training and inference problems involving large-scale models. You will translate research concepts into robust implementations, build infrastructure for complex experiments and optimise workflows for high-performance computing environments.

This role sits at the intersection of machine learning research, software engineering and high-performance computing, with direct impact on the development and evaluation of advanced AI systems.

Key Responsibilities

• Partner with ML researchers to accelerate research, model training and inference.
• Implement novel ML models, architectures and simulated environments.
• Design workflows for experiments ranging from small-scale research to large-scale projects.
• Develop tools, libraries and infrastructure to optimise compute resources.
• Improve the efficiency, scalability and reproducibility of ML workflows.
• Translate research concepts into reliable, production-quality implementations.
• Establish and maintain best practices for model development and experimentation.
• Identify training and inference bottlenecks and develop solutions.
• Collaborate across research, engineering and infrastructure teams.

Requirements

• Degree in Computer Science, Computer Engineering, Software Engineering or a related field.
• MSc or higher in ML, Computer Science or a related discipline, or equivalent professional experience.
• 5+ years' industry experience designing and implementing complex ML workflows.
• Strong hands-on experience with HPC environments and large-scale ML workloads.
• Extensive experience with ML frameworks such as PyTorch, TensorFlow or JAX.
• Experience contributing to high-quality deep learning rese