Medeloop
Staff AI Machine Learning Engineer
San Francisco, California, United States · Staff+
Sponsorship not specifiedDetected 82 days ago
ReactVector DatabasesAWSGCPAzureMachine LearningPyTorchNLPLLMsRAGAgentic AILangGraphAI OrchestrationA/B TestingComplianceTest AutomationManual TestingHIPAAClinical TrialsClinical ResearchPublic HealthFDA RegulatoryResearchCollaboration
About the role
- You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT.
- Shape Medeloop's agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership.
- Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI.
Responsibilities
- you'll build AI-powered workflows, not just support them
- Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build
- If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you.
Requirements
- Experience working on analytic engines (or advanced analytics platforms) - designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale.
Skills
- Multi-cloud experience (AWS, Azure, GCP)
Benefits
- Drive LLM and ML model development - train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges.
- your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
- The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem.
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This listing is sourced directly from Medeloop's careers page and normalized into a canonical job model.