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  2. Flo

Senior/Lead Machine Learning Engineer (Predictions)

Posted on May 27, 2025 (7 days ago)

Job description

Job Description

Flo is the world’s #1 health app focused on female health, with 400M+ downloads and 75M+ monthly users. The company recently reached a $1B valuation. With 6M paid subscribers, Flo delivers AI-powered, privacy-first, clinically backed digital health solutions.
This role is within the Predictions team, responsible for building state-of-the-art machine learning models for accurate cycle predictions and personalized health insights.

Responsibilities

Explore, develop and test complex ML systems to improve female health by delivering more accurate and personalized insights to users.
Work in a fast-paced environment, taking end to end ownership of ML products.
Research and implement state of the art ML solutions.
Collaborate cross-functionally with engineering, product, and analytics teams.

Requirements

Must have:
  • Solid understanding of classical ML algorithms
  • Experience building and deploying large-scale ML models in real-time
  • Ability to design ML pipelines and explain system design
  • Strong Python programming skills
  • Experience with Apache Spark for data pipelines
  • Familiarity with feature engineering techniques
  • Excellent communication skills
  • Commitment to responsible AI practices including fairness and transparency
Nice to have:
  • Advanced degree in Computer Science, Mathematics or related field
  • Knowledge of statistical fundamentals including time series analysis and AB testing
  • Strong data visualization skills
  • Experience in the MedTech domain

Culture and Benefits

Mission-led, product-driven team moving fast and taking ownership. Competitive salary, performance incentives, paid leave, parental leave, professional growth, flexible working, sabbatical, health and well-being perks.
Diversity and inclusion focused hiring based on merit, skill, and contribution.

How to apply

How to Apply

Apply via the job application form on the Flo Health Greenhouse page linked in the original job post URL. The form requires personal details, resume/CV submission, and answering several role-related questions. Candidates must confirm living full-time in Lithuania as the role requires it, and the job offers hybrid work with office location in Vilnius.