Top Tech Jobs & Startup Jobs

Product Manager for an AI-driven clinical intelligence platform. Own features from discovery through launch, design AI UX, learn clinician workflows, prioritize EHR and data integrations (Epic, Cerner, HL7/FHIR), collaborate with design/engineering/research, and synthesize clinician feedback to improve model evaluation, accuracy, and trust in production.

Own end-to-end product design for an LLM-powered healthcare platform. Design and prototype intuitive, accessible interfaces for clinical users, collaborate with engineering, product, and clinical teams, and shape design culture and processes as an early-design hire.

Lead full-cycle technical recruiting for engineers, ML talent, product, finance, and ops. Source passive candidates, partner with hiring managers, build talent communities, improve processes and employer brand, use data to increase hiring velocity and quality, and help scale the recruiting function at a high-growth AI-healthcare startup.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.

Design and develop scalable backend services and APIs, support infrastructure improvements, and collaborate on system reliability and monitoring.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

Design, build, and maintain secure and scalable infrastructure for critical healthcare applications, lead incident responses, and support engineering teams.

As a Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

As a Senior Fullstack Engineer, you'll develop and maintain scalable APIs and web applications, engage with customers to meet their needs, and collaborate on product features to improve Layer Health's applications.