Abridge

GenAI Engineer role focused on designing and building LLM-driven workflows that leverage agentic capabilities, tool use, and retrieval systems. The role involves scaling and optimizing these workflows, owning architectural decisions, driving rigorous evaluation, and productionizing LLM workflows into low-latency, high-uptime environments with monitoring and guardrails.

Machine Learning Scientist role focused on advancing medical NLP research, including summarization, evidence extraction, and outcome prediction. The role involves publishing research, developing state-of-the-art methods, and shipping them into production, with a strong emphasis on real-world impact and deployed technology. Experience with foundation models, deep learning libraries, and multi-GPU training is required.

Senior Research Data Scientist at Abridge, focusing on evaluating AI models and products in healthcare. The role involves developing and validating metrics, conducting quantitative evaluations, building data infrastructure for research, and communicating insights to inform product decisions and strategy. It emphasizes rigorous research and data expertise to measure the real-world impact of ambient AI.

Research Scientist focused on evaluating and advancing the real-world impact of ambient AI in healthcare. This role involves designing and leading empirical studies, operationalizing complex constructs using rigorous measurement frameworks, and developing evaluation frameworks to inform model development and product strategy. The work directly contributes to understanding how AI systems affect patients and providers, with a strong emphasis on rigorous evaluation and measurement.

Product leader to define the vision, strategy, and execution for Abridge's core note generation models and evaluation stack. This role will manage a team of PMs and partner with engineering, ML, design, and clinical leaders to set the bar for note quality, guide the model and evaluation roadmap, and deliver key capabilities for the market. The role emphasizes leading AI product strategy, overseeing the evaluation platform and measurement systems, driving depth across specialties, and leading/developing a team of PMs.

Software Engineer, Gen AI Platform at Abridge, focusing on building the runtime, orchestration engine, and evaluation platform for agentic LLM-driven workflows in healthcare.

This role focuses on building and optimizing the core inference infrastructure for AI models in a healthcare setting. The engineer will design, deploy, and maintain scalable Kubernetes clusters, develop and optimize ML model serving infrastructure for high performance and low latency, and scale backend infrastructure for AI-driven products. Key responsibilities include optimizing compute-heavy workflows, enhancing GPU utilization, and building a robust model API orchestration system, collaborating with research and product teams.

This role focuses on developing and refining AI-driven clinical tools for healthcare, combining clinical expertise with AI knowledge. Responsibilities include prompt engineering, defining output quality, building evaluation tools, and ensuring model accuracy and safety within clinical contexts. The role involves collaboration with cross-functional teams and translating clinical needs into technical specifications.

This role is for a Senior Manager of Data Science at Abridge, a healthcare AI company. The manager will build and lead a data science team, implement data strategy, and drive product strategy using data-driven insights. Key responsibilities include team management, fostering culture, driving product strategy through analysis, partnering with product/strategy/research teams, collaborating on model evaluation, communicating insights, structuring data strategy with Data Engineering, making technical infrastructure decisions, and leveraging AI for data ingestion and insight generation. The role requires an MS/PhD in a quantitative field, 12+ years of experience, strong Python/R/SQL skills, experience building data capabilities, and data visualization tool proficiency. Healthcare experience is a bonus.

Director of Data Science at Abridge, a healthcare AI company. Responsible for building a data team, implementing data strategy, and driving product strategy through data-driven insights. Collaborates with product, engineering, and science teams, and partners with research on model evaluation and quality metrics. Focuses on using AI to accelerate data ingestion and insight generation.

Abridge is seeking a Head of Clinician Science to lead a team responsible for ensuring the clinical validity and meaningfulness of their AI-powered healthcare platform. This role bridges clinical expertise with AI/ML development, focusing on defining quality standards, building scalable evaluation systems, and translating clinical workflows into product requirements. The ideal candidate has a strong clinical background, management experience, and technical fluency with AI/ML, particularly NLP and LLMs.

Senior Data Scientist at Abridge, a healthcare AI company, focused on driving product strategy through data analysis, user behavior modeling, A/B testing, and AI model evaluation. The role involves ensuring visibility into AI generation pipelines and investigating issues, with a critical need for data to drive user engagement and retention. Collaboration with product, engineering, and science teams is key.