Lead Machine Learning Engineer
ZOE
Overview
Role involves leading machine learning engineering efforts to scale AI-driven health solutions.
Ideal candidate has 7+ years in backend engineering and 5 years on deployed ML or AI products.
remoteseniorpermanentfull-timePythonJavaTensorFlowPyTorchScikit-learnGoogle CloudAWSSageMaker
Locations
Requirements
7+ years in backend software engineering 5 years on deployed ML or AI product Strong background in ML, Computer Science, Mathematics, or Statistics Experience with large scale backend systems Passionate about LLMs, prompting techniques, and evaluation strategies Experience in Python or Java Understanding of cloud platforms like Google Cloud, AWS, Vertex AI, Sagemaker
Responsibilities
Build and scale photo logging AI product Collaborate with data scientists and software engineers Evaluate model performance and improve accuracy Work with platform team on hosting and scale Stay current with machine learning research Solve backend problems with product managers and UX designers Write code across micro-services and data pipelines Ship in production frequently
Benefits
Competitive health insurance Inclusive parental policies Tailored professional development programs