Abridge
Vertical AI · Medical AI scribing
- HQ
- Pittsburgh, US
- Founded
- 2018
- Website
- abridge.com
Abridge currently has 24 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 33% of the openings, followed by application development at 21% and evaluation at 17%. Engineering is the most frequent function, with 14 roles, and all hiring is concentrated in the United States. The company is frequently seeking candidates with experience in model serving, evals, and llm observability. Over the last 30 days, Abridge has added 6 new AI roles, representing a 20% increase compared to the previous 30-day period.
Currently tracking 13 active AI roles, with 18 new openings in the last 4 weeks. Primary focus: Eval Gate · Product.
Vertical AI · Medical AI scribing
Abridge currently has 20 active AI-related roles in our index. The most common open titles are: AI Enablement Program Manager , Clinician Scientist, Data Engineer, Director, Data Science, Director, Product Management - AI/ML, Core Product. Most positions are in Engineering and Product.
Abridge's active AI hiring is concentrated in: serving infrastructure (30%), agents (25%), evaluation (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Abridge is hiring AI talent in: United States (20 roles).
Job postings at Abridge most frequently reference: llm observability, evals, model serving, agent orchestration, inference infra.
In the past 30 days, Abridge has posted 4 new AI-related roles. That is a -33% change versus the prior 30 days (6 → 4).
| Title | Stage | AI score |
|---|---|---|
| Senior Research Data Scientist 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. | Eval GateData | 8 |
| Research Scientist (Measurement and Evaluation) 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. | Eval Gate | 8 |
| Director, Product Management - AI/ML, Core Product 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. | Eval GatePost-train | 8 |
| Head of Clinician Science 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. | Eval GatePost-train | 7 |
| Senior Data Scientist 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. | Eval GateAgent | 7 |