machineMD is a Bern-based medical device company pioneering automated neurodiagnostics through our flagship nes™ device and oculometrics software. We’re hiring a to own end-to-end model development - from data pipelines and signal processing to scalable bayesian inference models - and help us bring specialist-level diagnostics into every clinic

perform exploratory data analysis, design and implement ETL pipelines, craft signal-processing features, design and train models, and deploy them with robust monitoring

apply advanced FIR filtering, probabilistic modelling, non-linear correlation analyses and rigorous hypothesis testing to elevate diagnostic accuracy, while preserving full transparency and interpretability

Operationalization

• optimize Docker images for minimal footprint, ensure Azure resources remain healthy and cost-efficient, and partner with software engineering to integrate new functionality into our product
• coach other engineers, uphold clean-code principles, and conduct systematic code reviews
• you sweat the edges of every algorithm and make it battle-ready for real-world data
• you’re equally at home in a Jupyter/marimo notebook prototyping hierarchical bayesian models, as you are debugging ETL pipelines
• you ship prototypes quickly, get clinician feedback and pivot with agility to refine solutions

Technical Craft

• you have strong opinions (and data to back them) on software engineering best practices, clean-code mantras and apply Nyquist-informed rigor to signal-processing challenges
• Collaborative Spirit
• you thrive in a flat, interdisciplinary team where decision rights are distributed and communication channels are short

Requirements

• BSc, MSc, or PhD in Computer Science, Electrical Engineering, Data Science, Biomedical Engineering, or a closely related field from ETH, EPFL, FH or an equivalent institution
• 7+ years of professional Python experience (incl. pandas and/or polars); bonus points for hands-on Rust or Julia
• Demonstrated mastery of software development, signal processing, machine learning, and statistical methods; bonus points for hands-on experience applying GenAI techniques in production
• Proven track record of shipping ML models in production (healthcare or other high-stakes domains)
• Fluent English; German and/or French a plus

Located in Bern, Switzerland, we thrive on collaborative, in-person energy, while offering the flexibility you need to do your best work

Make and keep clear commitments (Clear Agreements)

We welcome applications from all qualified individuals regardless of gender, age, background, or orientation. Applicants must have at least a Swiss B work permit