Machine Learning Researcher

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:

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

• Self-supervised learning

• Foundation models for healthcare

• 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 robustnessCollaborate 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:

• Self-supervised learning

• Transformers or state-space models

• Biomedical signals

• Clinical ML

• Healthcare or medical-device environments

€110k Base Salary + Benefits.

Permanent | Hybrid - Berlin.