Job Description
We are seeking a Lead Machine Learning Engineer to join our dynamic ML Engineering team. In this pivotal role, you will be instrumental in scaling our AI-driven photo logging product to millions of users, tackling a diverse range of complex technical challenges from inception to production. You’ll work on architecting, designing, and maintaining the highly performant and reliable ML systems that power our core product. You'll lead by example, mentoring junior engineers, driving technical discussions, and collaborating closely with cross-functional teams including product managers, data scientists, software engineers, and UX designers to deliver a best-in-class customer experience.
Lead the end-to-end development and scaling of our core photo logging AI product, ensuring high availability, performance, and reliability for millions of users. Design, build, and refactor production-grade ML codebases, applying advanced software engineering principles. Deeply understand, implement, and improve LLM based AI products, including fine-tuning embedding models for semantic search, advanced prompt engineering techniques, and efficient context management strategies. Diagnose, debug, and resolve complex issues within ML pipelines. Drive MLOps practices for model deployment, versioning, monitoring, and A/B testing, ensuring seamless integration and continuous improvement in production. Stay at the forefront of ML research and technologies , actively evaluating and integrating cutting-edge advancements (especially in LLMs, multimodal AI) into our product and engineering workflows.
About ZOE
ZOE is the science and nutrition company leading a movement to transform the health of millions.