Principal Machine Learning Engineer

TL;DR

machineMD is a Bern-based medical device company pioneering automated neurodiagnostics through our flagship neos device and oculometrics software. Were hiring a Principal Machine Learning Engineer / Full-Stack Data Scientist 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.

About machineMD

Were on a mission to radically improve the measurement of brain function through standardized automated quantitative exams. Our signature product neos is the worlds first non-invasive neurophtalmoscope for fast automated assessment of eye movements and pupils. Founded at the University Hospital of Bern Switzerland we aim to bring the diagnostic quality of a highly trained tertiary-care specialist into secondary and primary care settings everywhere.

Tasks

The Role

As a Principal Machine Learning Engineer / Full-Stack Data Scientist at machineMD you will:

• End-to-end ML - perform exploratory data analysis design and implement ETL pipelines craft signal-processing features design and train models and deploy them with robust monitoring.
• Research & Innovation - 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.

Mentoring & Leadership - coach other engineers uphold clean-code principles and conduct systematic code reviews.

What We Look For

• Olympic-level Dedication - you sweat the edges of every algorithm and make it battle-ready for real-world data.
• End-to-end Ownership - youre equally at home in a Jupyter/marimo notebook prototyping hierarchical bayesian models as you are debugging ETL pipelines.
• Speed & Iteration - 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

Qualifications

• 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.

Benefits

Working at machineMD

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

We are united by the Four Pillars of Integrity: Radical Responsibility Feeling Our Feelings Candor and Clear Agreements. These are not just words on a wall; they guide how we:

• Own our choices (Radical Responsibility)
• Name and honour our emotions (Feeling Our Feelings)
• Speak and listen with honesty (Candor)
• Make and keep clear commitments (Clear Agreements)

Living these principles keeps us whole fully alive and brimming with the energy needed to build world-class diagnostic tools.

Lifes too short to work on boring stuff. If you want to bring AI to the frontlines of brain-health and laugh along the way lets talk!

Send your CV and a link to your favourite project or repository with a brief explanation of why you like it.

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