Senior Machine Learning Engineer

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.

Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.

With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.

The job

We are looking for a Machine Learning Engineers to join Flo Health. You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs. If you’re passionate about technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you!

Your ExperienceMust have:

• 7+ years of professional experience in the field of machine learning

• Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus

• Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines

• Strong Python programming skills for efficient model development and deployment

• Experience with both traditional ML and modern LLM frameworks

• Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies

• Experience in building and managing data pipelines using tools like Apache Spark

• Excellent communication skills and ability to collaborate with diverse teams

• Commitment to responsible AI practices, including fairness, accountability, and transparency

Nice to have:

• Advanced degree in Computer Science, Mathematics, or a related field

• Familiarity with statistical and measurement fundamentals and running and evaluating AB tests

• Data visualisation skills

• Experience in the MedTech domain

What you'll be doingYou'll be responsible for:

• Explore, develop and test complex ML/AI systems to improve female health

• Work with state-of-the-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale