Senior/Lead Machine Learning Engineer, Flo

• Solid understanding of classical ML algorithms
• Demonstrated success in building and deploying large-scale machine learning models that serve users in real-time
• Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML pipelines
• Strong Python programming skills for efficient model development and deployment
• Experience in building and managing data pipelines using tools like Apache Spark
• Familiarity with different feature engineering techniques
• Excellent communication skills and ability to collaborate with diverse teams
• Commitment to responsible AI practices, including fairness, accountability, and transparency

Desirable

• We are looking for a Machine Learning Engineer to join the Predictions team. This team focuses on one of the cornerstone features of the Flo Health app: delivering accurate predictions to our users about their cycles and more
• We develop state of the art solutions to provide the most accurate predictions to our users on the app. To do so, we leverage a range of different data points and machine learning techniques to ensure the best user experience
• This role will focus on our menstrual cycle modelling, finding patterns and regularities in symptoms, symptom predictions, utilising data from wearable devices, and more. If you’re passionate about technology and driven by delivering value to users, we would love to hear from you!
• Explore, develop and test complex ML systems to improve female health by delivering more accurate and personalised insights to the users
• Work in a fast-paced environment, to quickly build and validate product hypotheses, taking end to end ownership of the ML products
• Constantly improve our technical capabilities by researching and implementing state of the art ML solutions that deliver value to users
• Work in a cross-functional setup alongside other engineering (ML, Backend, Frontend, QA), product, and analytics teams