Clue is more than just a place to work. Our work empowers women and people with cycles to make more informed decisions about their health. We break down barriers, myths, and taboos. Our workplace is agile, diverse, and full of growth opportunities.

A NOTE FROM YOUR TEAM

As a (Senior) Machine Learning Engineer, you will play a key role in shaping how applied machine learning is responsibly built and operated at Clue. The role is based in the data team and works cross-functionally with science, product, and platform teams.

You will work on science-based ML use cases grounded in longitudinal and sparse health data, contributing to user-facing features that require a high bar for correctness, safety, and regulatory compliance.

You’ll join a purpose-driven, collaborative environment where your technical ownership directly supports Clue’s mission, user trust, and long-term product strategy.

WHAT YOU’LL DO

• Design, develop, and maintain science-based machine learning models for use cases involving longitudinal and sparse data
• Apply scientific reasoning to model design and validation, ensuring modelling assumptions, limitations, and outputs align with current scientific understanding
• Work with cycle tracking data, biometric signals, and other health-related data sources to build and evaluate robust models
• Translate scientific and research insights into production-ready ML systems in close collaboration with the Science team
• Own the end-to-end ML lifecycle, including training, evaluation, validation, deployment, monitoring, and iteration in production
• Define and evolve ML operational practices to ensure models are reliable, observable, reproducible, and maintainable over time
• Ensure the availability and quality of data inputs, testing datasets, and evaluation pipelines in collaboration with data and engineering teams
• Integrate health-specific ML models with other AI components
• Ensure ML systems are developed and operated in line with privacy, security, and regulatory expectations (e.g. GDPR, EU AI Act)
  
  

WHAT WE’RE LOOKING FOR

• Advanced degree (PhD preferred) in Machine Learning, Data Science, Computer Science, or a life sciences discipline (e.g. biology, biomedical sciences), focused on health, biological, or physiological data
• Demonstrated ability to apply scientific reasoning to the design, validation, and interpretation of machine learning models, including independent assessment of scientific assumptions and limitations
• Academic or applied research experience working with sparse, longitudinal, or health-related data (for example: through a thesis or publications)
• Several years of experience applying machine learning in production or production-adjacent environments
• Strong grounding in statistical methods and applied machine learning
• Hands-on experience with ML Ops practices, including deployment, monitoring, reproducibility, and model lifecycle management
• Experience working with cloud-based infrastructure, preferably AWS
• Ability to communicate complex technical concepts clearly to cross-functional stakeholders
• Experience working in or with regulated environments is a strong plus
  
  

We recognise that strong candidates may not meet every requirement and encourage applications from those with deep scientific and applied ML experience.

WORKING AT CLUE

At Clue, we embrace a culture that values diversity, inclusion, and collaboration. We believe in creating a workplace where everyone feels empowered to contribute, grow, and make a difference.

What we offer:

• 27+ days of paid time off
• Urban Sports Club membership
• Professional & Personal Development: Access to a dedicated development budget and resources to grow in your role
• Office Space: A vibrant office in the heart of Berlin, where collaboration and innovation happen
• Hybrid Work Model: The flexibility to work from home while maintaining a strong connection with the team

GOOD TO KNOW

Main Location: Berlin

Employment Type: Full Time

Reporting To: Director of Data