Senior Machine Learning Engineer, Flo

• 4+ 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

Desirable

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