March 5
🏢 In-office - Bay Area
• Work with product development team and product managers to define scope of work, timeline and product specifications • Work with backend engineers to deploy, maintain and scale AI models • Define interfaces between the microservices that runs and delivers AI models • Discover, collect, clean and transfer data to train AI models • Experimentation of different AI models, methodologies, frameworks and communicate critical evaluation metrics to product teams • Explore, refine, improve best practices within the ML team • Push the boundaries of ML and AI and innovate on how to best leverage existing technologies to solve new problems
• 3+ years of experience working in a relevant role • Demonstrated ability to translate business requirements and metrics into machine learning model specifications • Quickly prototype new models from open-sourced code and demonstrate results • Ability to design and train new model architectures for complex data • Experience working with real-world data: large, messy, incomplete, irregular, etc. • Experience working with a mix of structured and unstructured data • Proficiency with Python and the standard ML stack (numpy, pandas, scikit-learn) • Experience with a deep learning package, e.g. Tensorflow, PyTorch • Experience deploying ML models in production
• Competitive salary • Opportunity to work in cutting-edge healthcare technology • Fast-paced environment • Collaborative team • Opportunity for innovation in healthcare
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