Machine Learning Researcher

Das ist der Job

Permanent | Hybrid - Berlin.

Darum lohnt es sich

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.

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.

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.

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.