About This Role
This engineering job involves developing groundbreaking features that leverage medical expertise, technical skills, and a deep understanding of user needs, with a focus on rapid adoption of new technologies like LLMs. The role suits a Machine Learning Engineer passionate about technology, especially advancements in generative AI, and driven by delivering value to users.
Responsibilities
- Develop groundbreaking features that leverage medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of users’ needs
- 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
- Work in a fast-paced environment to quickly build and validate product hypotheses, taking end-to-end ownership of ML/AI products
- Build the future-proof infrastructure for serving Gen AI features at Flo, bringing the AI vision and strategy to life
- Constantly improve technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs
- Work in a cross-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams
Requirements
- 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
- 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
Benefits
- Participation in Flo’s success: All employees are eligible to participate in Flo’s Employee Share Ownership Plan (ESOP) and be awarded equity to participate in the long-term value creation of the business
