Machine Learning Researcher

Senior ML Researcher | Berlin | Permanent | Hybrid | €110k

AI Futures has been engaged by exciting, venture-backed healthcare AI startup based in Berlin that is developing AI technologies for the next generation of cardiovascular care.

The company has already raised €3M in equity and grant financing, backed by specialist healthcare investors, this is an exciting point in the company's journey: the technology has moved beyond pure R&D, the company has an approved medical-device product, and significant resources are being invested into scaling its research and clinical programmes.

The role

We are looking for a Senior Machine Learning Researcher to join the core AI team and help develop the next generation of machine learning systems for healthcare.

Your work will sit at the intersection of:

Machine Learning × Audio × Time-Series × Multimodal AI × Healthcare

The company is developing ML systems capable of detecting subtle changes in a patient's voice and combining these signals with longitudinal physiological and clinical data.

This creates a particularly interesting research environment for someone interested in problems such as:

• Audio and speech representation learning
• Longitudinal time-series modelling
• Multimodal learning
• Self-supervised learning
• Foundation models for healthcare
• Patient-level temporal modelling
• Physiological signal processing
• Robustness and generalisation across patients and devices
• Uncertainty and calibration in clinical ML

As a Senior ML Researcher, you will have significant ownership over research direction and experimentation.

You will:

• Develop novel models for audio and healthcare time-series
• Investigate new architectures for sequential and multimodal data
• Develop self-supervised and representation-learning approaches
• Design experiments to uncover clinically meaningful signals
• Work with large-scale longitudinal datasets
• Build rigorous patient-level evaluation frameworks
• Investigate model generalisation, uncertainty and robustness
• Collaborate directly with clinicians and medical researchers
• Translate promising research into production-grade healthcare AI
• Help shape the company's longer-term ML research roadmap
• Potentially publish research and represent the company within the ML community

This is a role for someone who wants genuine research ownership rather than simply implementing models from a specification.

What we're looking for

• PhD or equivalent research experience in ML, Computer Science, Statistics, Electrical Engineering or a related field
• Strong experience with deep learning and sequential modelling
• Experience working with time-series, audio, speech or multimodal data
• Excellent Python and PyTorch/JAX skills
• A strong research track record
• Experience independently developing and validating new ML approaches
• Strong understanding of experimental design and statistical evaluation

Particularly valuable experience:

• Speech/audio ML
• Self-supervised learning
• Transformers or state-space models
• Multimodal foundation models
• Biomedical signals
• ECG/PPG/EEG/respiration/wearable data
• Clinical ML
• Probabilistic modelling
• Causal inference
• Large-scale model training
• Healthcare or medical-device environments

Package & Details

€110k Base Salary + Benefits.

Permanent | Hybrid - Berlin.

AI Futures have been engaged exclusively for this search. If this sounds like an exciting challenge to you please apply below.

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