AI Jobs Map

AI Futures · Berlin, Germany

Machine Learning Researcher

Hybridseniorfull timePosted 13 days ago
Apply on LinkedInOpens the original posting. AI Jobs Map never asks for your details.

Stack mentioned

statisticspythonpytorchtransformersmachine-learninga/b-testingdeep-learning

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.

AI Futures | Filling the AI Skills Gap ®

More jobs at AI Futures

Machine Learning Researcher at AI Futures (Berlin, Germany) | AI Jobs Map