Senior Machine Learning Research Scientist

European Tech Recruit; Berlin; Vor Ort; EUR 110.000 - 150.000; Vollzeit

Zusammenfassung

European Tech Recruit seeks a Senior Machine Learning Research Scientist to develop and evaluate advanced ML models and methodologies. You will translate theoretical advances into practical algorithms, design rigorous experiments and contribute to frontier-scale AI research.

Collaborating with researchers and ML engineers, you will adapt frontier models for specific applications, benchmark performance, and drive reproducible experimentation while communicating findings and guiding technical

Qualifikationen

• Advanced degree in Computer Science, Mathematics, ML or a related field; PhD preferred but not essential.
• 5+ years of deep learning research experience, ideally involving large-scale or frontier models.
• Experience training, adapting and fine-tuning ML models using techniques such as transfer learning, domain adaptation or meta-learning.
• Strong track record of research contributions.

Aufgaben

• Design and implement novel ML models and methodologies for complex research problems.
• Collaborate with researchers and mathematicians to translate theoretical developments into practical algorithms.
• Adapt and fine-tune frontier models for specific research applications.
• Develop rigorous, reproducible experiments and evaluation frameworks.
• Analyse results to identify insights and guide future research.
• Benchmark and optimise model performance, training efficiency and resource utilisation.
• Improve training and inference across large-scale computational workloads.
• Communicate findings and contribute to research planning and technical direction.

Kenntnisse

Deep learning research

Transfer learning / domain adaptation

Research contributions

Python

PyTorch

TensorFlow

JAX

Distributed ML environments

Experiment tracking

Ausbildung

Advanced degree in CS/Math/ML or related field

PhD preferred but not essential

Tools

PyTorch

TensorFlow

JAX

Python

Jobbeschreibung

We are seeking a Senior Machine Learning Research Scientist to develop and evaluate advanced ML models and methodologies. Working with researchers, mathematicians and ML engineers, you will translate theoretical advances into practical algorithms, design rigorous experiments and contribute to frontier-scale AI research.

Key Responsibilities

• Design and implement novel ML models and methodologies for complex research problems.
• Collaborate with researchers and mathematicians to translate theoretical developments into practical algorithms.
• Adapt and fine-tune frontier models for specific research applications.
• Develop rigorous, reproducible experiments and evaluation frameworks.
• Analyse results to identify insights and guide future research.
• Benchmark and optimise model performance, training efficiency and resource utilisation.
• Improve training and inference across large-scale computational workloads.
• Communicate findings and contribute to research planning and technical direction.

Skills & Qualifications

• Advanced degree in Computer Science, Mathematics, ML or a related field; PhD preferred but not essential.
• 5+ years of deep learning research experience, ideally involving large-scale or frontier models.
• Experience training, adapting and fine-tuning ML models using techniques such as transfer learning, domain adaptation or meta-learning.
• Strong track record of research contributions.

Technical Skills

• Expertise in PyTorch, TensorFlow or JAX.
• Strong Python development skills and experience with distributed ML environments.
• Understanding of software engineering, version control and collaborative development.
• Experience with experiment tracking, reproducibility and large-scale model benchmarking and optimisation.
• Excellent communication skills and ability to explain complex technical concepts.
• Collaborative approach to multidisciplinary research.
• Ability to independently drive research projects from hypothesis through to implementation and evaluation.
• Comfortable adapting to evolving research priorities and technical challenges.

Preferred Skills & Experience

• Research into frontier model behaviour, performance or AI safety.
• Experience with model evaluation, alignment methodologies or advanced ML benchmarks.
• Natural Language Processing (NLP) expertise.
• Knowledge of probabilistic graphical models or statistical modelling.
• High-quality research publications or equivalent contributions.
• Experience with large-scale distributed training and inference infrastructure.