Senior Machine Learning Research Scientist

European Tech Recruit; Berlin; Hybrid; EUR 110.000 - 140.000; Vollzeit

Zusammenfassung

European Tech Recruit are partnering with an AI company to hire a Senior Machine Learning Research Scientist in Berlin on a hybrid basis. You will design, implement and evaluate novel ML models, collaborating with researchers to translate theory into scalable algorithms.

The role requires advanced degree and 5+ years of deep learning research, with hands-on experience in large-scale models, transfer learning and multiple ML frameworks.

Qualifikationen

• Advanced degree in Computer Science, Mathematics or Machine Learning.
• 5+ years of deep learning research experience on large-scale or frontier models.
• Experience training, adapting and fine-tuning large-scale ML models.
• Experience with transfer learning, domain adaptation or meta-learning.
• Proven track record in ML research.
• Strong experience with PyTorch, TensorFlow or JAX.
• Experience in distributed computing environments.
• Strong Python development skills with production-grade code.
• Familiarity with version control and experiment management.
• Ability to benchmark and optimise model performance on large workloads.

Aufgaben

• Propose, design and implement novel ML models to address complex research problems.
• Collaborate with researchers to translate theory into practical ML algorithms.
• Adapt and fine-tune frontier models for specific applications.
• Design rigorous experiments and evaluation frameworks for robust results.
• Develop experiments that operate at large scale and complexity.
• Analyse results to identify new research directions and hypotheses.
• Benchmark and optimise model performance and resource use with ML engineers.
• Communicate findings and contribute to research planning.

Kenntnisse

Deep learning research

Python development

Experiment design

Model evaluation

Distributed computing

Ausbildung

Advanced degree in Computer Science/Mathematics/Machine Learning

Tools

PyTorch

TensorFlow

JAX

Git

Experiment tracking tools

Jobbeschreibung

Senior Machine Learning Research Scientist

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 Scientist to join them on a hybrid basis in Berlin.

In this role, you will design, develop and evaluate innovative machine learning models and approaches for complex research problems. You will work closely with researchers, mathematicians and ML engineers to translate theoretical advances into practical algorithms, develop experimental methodologies and evaluate models at frontier scale.

Responsibilities as Senior Machine Learning Research Scientist:

• Propose, design and implement novel machine learning models and methodologies to address complex research problems.
• Collaborate with mathematicians and specialised research scientists to translate theoretical developments into practical ML algorithms and models.
• Adapt and fine-tune existing frontier models for specific applications, domains and research scenarios.
• Design and implement rigorous experimental protocols and evaluation frameworks to test hypotheses and produce robust, reproducible results.
• Develop experiments capable of operating at the scale and complexity required for frontier models.
• Analyse and interpret experimental results to identify new research directions and inform future hypotheses.
• Benchmark and optimise model performance, efficiency and resource utilisation in collaboration with ML engineers.
• Improve training and inference efficiency across long-running and computationally intensive experiments.
• Communicate research findings clearly and collaborate closely with other researchers and engineers.
• Contribute to research planning, technical discussions and the development of new research methodologies.

Requirements:

• Advanced degree in a relevant field, such as Computer Science, Mathematics, Machine Learning or a related discipline.
• 5+ years of experience working on deep learning research projects, particularly involving large-scale or frontier models.
• Demonstrated experience training, adapting and/or fine-tuning large-scale machine learning models.
• Experience working with complex model adaptation techniques such as transfer learning, domain adaptation or meta-learning.
• Proven track record of contributing to high-quality machine learning or deep learning research.
• Strong expertise with ML frameworks such as PyTorch, TensorFlow or JAX.
• Experience developing, training and evaluating machine learning models in distributed computing environments.
• Strong Python development skills, with experience writing research-quality and production-grade code.
• Strong understanding of software development practices, including version control, collaborative development and experiment management.
• Experience using experiment tracking and management tools to ensure research is reproducible and well documented.
• Ability to benchmark and optimise model performance across large-scale computational workloads.