Machine Learning Engineer

cancierge.ai; Nordrhein-Westfalen; Hybrid; EUR 80,000 - 90,000; Full time

Benefits offered by this job

Remote-first

Office days near Aachen

Ownership of AI core code

Flat hierarchy and mission-driven team

Job summary

Cancierge is a health-tech startup building the lifetime AI platform for oncology and longevity. We are a senior, mission-driven team with a flat structure. This role focuses on turning medical logic into production-grade ML code, collaborating with the CTO and Head of AI.

You will own the AI core, build data pipelines for text data, tune models, and explore NLP/LLM work. Remote-first with monthly office days near Aachen; English is our working language.

Qualifications

• Strong Python and PyTorch skills with production-grade ML
• Hands-on ML experience including hyperparameters and tuning
• Experience building data/text pipelines and data cleaning
• Good command of English in a cross-border team

Responsibilities

• Build and own the AI core from prototype to production code
• Design evaluation harnesses, metrics and reproducibility
• Create and maintain data pipelines for text data including cleaning
• Train and tune ML models; collaborate with medical/logic and infra teams

Skills

Python

PyTorch

Machine Learning

ML pipelines

Data pipelines

Docker

Linux

English

Tools

Docker

Linux

Job description

Cancierge® is a health-tech startup building the lifetime AI platform for oncology and longevity. We support cancer patients, their families and clinicians with AI-driven guidance, from diagnosis through treatment and into long-term health. Patients, clinics and clinical studies feed a growing longitudinal data platform; medical knowledge from leading oncologists is at the core of everything we build.

We are a senior, mission-driven team. The atmosphere is relaxed and direct: flat hierarchy, no corporate theatre, passionate discussions welcome and a mission that matters. We build a regulated medical product (EU MDR), so quality and clean engineering are not optional extras; they are how we protect patients.

Who we are

Cancierge® is a health-tech startup building the lifetime AI platform for oncology and longevity. We support cancer patients, their families and clinicians with AI-driven guidance, from diagnosis through treatment and into long-term health. Patients, clinics and clinical studies feed a growing longitudinal data platform; medical knowledge from leading oncologists is at the core of everything we build.

We are a senior, mission-driven team. The atmosphere is relaxed and direct: flat hierarchy, no corporate theatre, passionate discussions welcome and a mission that matters. We build a regulated medical product (EU MDR), so quality and clean engineering are not optional extras; they are how we protect patients.

What you will do

You will be the engineering backbone of our AI core – turning medical logic designed by our Head of AI and clinical experts into clean, tested, production‑grade machine learning code, embedded in the engineering process run by our CTO.

• Build: own the implementation of our AI core, from prototype logic to clean, modular, testable production code
• Evaluate: design and maintain evaluation harnesses, choice of metrics, reproducibility, multiple setups
• Data: build and run data pipelines for text data, including data cleaning
• Train: run and improve ML training and tuning (hyperparameters, learning rates, overfitting control)
• Connect: work hand in hand with our medical/logic layer on one side and our engineering and infrastructure team on the other - you are the bridge between the two

What you bring

• Strong Python: you write clean, modular, testable code
• Solid PyTorch: you understand the framework and the theory behind it
• Hands‑on ML experience: hyperparameters, overfitting, learning rates and friends
• Experience building eval harnesses: choice of metrics, reproducibility, different setups
• Experience with data pipelines for text data, including cleaning and augmentation
• Basic Linux server administration, including Docker
• Good spoken and written English, our working language across the team

Nice to have

• Natural Language Processing background
• GPU programming
• Model fine‑tuning experience with LLMs
• Rust

What we offer

• A mission with real impact: helping people through one of the hardest journeys there is
• €80,000–90,000 gross per year, depending on experience
• Home-office first: you work remotely, with fixed team days each month at our office near Aachen (DE/NL border region)
• A senior team you can learn from, experienced founders, world‑class clinical advisors, engineers who care about craft
• Real ownership: your code is the AI core of the product, not a cog in a machine
• A culture of respect, trust and commitment ... and we don’t take ourselves too seriously

How we hire

No cover letter needed. Send us your CV or LinkedIn profile plus anything you are proud of (GitHub, a project, a paper). Our process: a 30-minute intro call, a technical deep‑dive with our CTO, a conversation with our Head of AI and CEO - then a decision within days, not weeks.