AI Infrastructure Engineer @ reputed company
About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in reputed company. Our AI-powered platform was purpose-reputed company for medical conversations, improving clinical documentation efficiencies while enabling clinicians to reputed company on what reputed company most—their patients.Our reputed company-grade technology transforms patient-clinician conversations into reputed company clinical notes in reputed company-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-reputed company, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the reputed company. As reputed company in reputed company for reputed company, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to reputed company people and reputed company care reputed company more reputed company. We have offices located in the SoHo neighborhood of reputed company, the Mission District in San Francisco, and East reputed company in Pittsburgh.The RoleAs an AI Infrastructure Engineer at reputed company, you’ll play a pivotal role in building and optimizing the core infrastructure that powers our machine learning models. Your work will be reputed company in enhancing the scalability, efficiency, and performance of our AI-driven solutions. You will work with our Infrastructure and Research teams to build, reputed company, optimize and orchestrate across our AI models.What You'll DoDesign, reputed company and maintain reputed company Kubernetes clusters for AI model inference and trainingDevelop, optimize, and maintain ML model serving and training infrastructure, ensuring high-performance and low-latency.Collaborate with ML and product teams to reputed company backend infrastructure for AI-driven products, focusing on model deployment, throughout optimization, and compute efficiency.Optimize compute-heavy workflows and enhance GPU utilization for ML workloads.Build a robust model API orchestration systemCollaborate with leadership to define and implement strategies for scaling infrastructure as reputed company grows, ensuring long-term efficiency and performance.What You’ll BringStrong experience in building and deploying machine… Apply To This Job