Machine Learning Engineer

• You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs.
• If you’re passionate about technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you!
• 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 our AI vision and strategy to life
• Constantly improve our 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

Benefits

• Participation in Flo’s success: We firmly believe every employee contributes to the company’s growth and its future 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
• Family benefits: We know having a baby can be a big transition for the family, so we’re proud to offer 1 month fully paid paternity leave to be there and bond with your baby and 6 months of fully paid maternity leave, with a $5000 bonus on your return to work to help you settle into this new chapter of your life. (Depending on your country there may be additional options for parental time off and shared parental leave beyond the early days)
• Resources you need to thrive: At Flo you will have access to internal and external learning resources and tools to challenge your knowledge and push yourself further every day. We support career progression from within through personal development plans and dedicated Learning & Development budget to help you thrive
• Holiday and sick leave: It’s important to take time off to recharge and spend time with family and friends. We offer 25 days (28 for vice presidents and above) paid holiday in addition to the local public holidays and 30 days fully paid sick leave per year
• Flexible workplace: We want to provide a setup that gives our employees the flexibility they need, while also getting important face to face time with the team. With this in mind, we encourage teams to spend 2 days/week in the office.

Our popular Workation policy also allows you to work from anywhere for up to 2 months a year

• Experience with both traditional ML and modern LLM frameworks
• Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines
• 4+ years of professional experience in the field of machine learning
• Excellent communication skills and ability to collaborate with diverse teams
• Strong Python programming skills for efficient model development and deployment
• Experience in building and managing data pipelines using tools like Apache Spark
• Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies
• Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus
• 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