Machine Learning Engineer (AI Foundation)

We’re quite proud of our achievements…

300M+ downloads, 62M monthly users, #1 by installs in the iOS Health category, 4.9 stars on the App Store (3M+ reviews), backed by 7 VCs, annual revenue at 9 figures, and a valuation close to $1B.

We’re a growing, Series B funded HealthTech building the essential digital health partner of tomorrow to empower women, girls, and people who menstruate with the knowledge and support they need to stay well and live better.

Our cycle, ovulation and pregnancy tracking, educational content and anonymised community platform have been trusted for years by millions to help them feel more in control of their health every day.

We’re harnessing the power of data analytics and AI to build a smarter future, one where we all know our bodies better, with an aim to become the essential health partner to women worldwide. 

The Job

Our engineers aren’t just building a better product; they’re making the world a better place by improving women’s health. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, medically credible health tips. We are committed to discover and empower our employees to implement brand-new solutions.
Flo is a place for experimentation and implementation opportunities at the senior level. Flo is not just a feature factory, we own value delivery end to end. Flo is a constantly evolving product. New features and technologies are added, hardening development. Our engineers have an average of 10 years of experience, so they can solve ambitious product tasks.

We are looking for a Machine Learning Engineer for the AI foundation team. Solutions the AI team build are rooted in our medical knowledge, technical skills, swift adoption of new technologies such as LLMs, product expertise, and in constant search for better understanding of our customers’ needs. Our responsibilities are broadly divided across several critical areas:

• LLM research: We research LLM models in terms of medical accuracy, safety, technical characteristics and so on
• LLM implementation and support: We build and oversee LLM-based products at Flo, which is a new and existing area of development
• Menstrual cycle modelling, finding patterns and regularities in symptoms, symptoms prediction, utilising data from wearable devices, and more

Your Experience

Must have:

• 4+ years of professional experience in the field of machine learning
• Solid understanding of classical ML algorithms
• Good understanding of statistical concepts, particularly in the context of A/B testing
• Familiarity with fundamental concepts of deep learning and transformer-based architectures
• Strong programming and algorithmic skills
• Experience working with big data technologies

Nice to have:

• Strong communication and ownership skills
• Experience in recommendations and search, chatbot development
• Experience in systems design with the ability to architect and explain machine learning pipelines
• Data visualisation skills
• Experience in the med-tech domain

What you'll be doing

You'll be responsible for:

• Exploratory data analysis
• Development of ML algorithms
• Deployment to millions of users
• End-to-end ownership of ML problems

Salary range:
Lithuania - €6100 – €9400 gross per month.
UK - ₤80,000 - ₤140,000 per year.

Ranges may vary depending on your skills, competencies and experience.

#LI-Hybrid #LI-LM12

Reward

People perform better when they’re happy, paid well, looked after and supported. 

On top of competitive salaries, Flo's employees have access to:

• A flexible working environment with the opportunity to come into the office and work from home
• Company equity grants through Flo’s Employee Share Option Plan (ESOP)
• Paid holiday and sick leave 
• Fully paid female health and sick leave, in addition to holiday and regular sick leave
• Workations - an opportunity to work abroad for two months a year
• Six months paid maternity leave, and one months paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents
• Career growth, progression, and learning development resources
• Annual salary reviews
• Unlimited free premium Flo subscriptions
• A whole host of other benefits (health/pension/social schemes)

Our Culture

We’re problem solvers, we’re adaptable, we’re empathy driven and results led. 

People here like working in a fast-paced, multi-national, multi-cultural and ever changing environment. Everyone has an impact on a powerful mission, and is happy to roll their sleeves up to ideate solutions and put them in place. Being part of a  growing business means that sometimes it's not easy and we work hard, but our mission is always at the forefront of what we do. 

Diversity, Equity and Inclusion

The strength of our workforce is in the diverse backgrounds of our employees, and Flo is committed to applying its equal opportunities policy at all stages of recruitment and selection. This means recruitment and selection of talent into Flo Health companies is only based on individual merit and qualifications directly related to professional competence. Shortlisting, interviewing, and selection will always be carried out without regard to gender identity or expression, sexual orientation, marital or civil partnership status, color, race, nationality, ethnic or national origins, religion or beliefs, ancestry, age, veteran status, mental or physical disability, medical condition, pregnancy or maternity status, trade union membership, or any other protected characteristics.

By applying for the above role, you confirm that you have reviewed our privacy notice for job applicants: https://flo.health/privacy-policy-for-job-applicants