Currently tracking 13 active AI roles, with 18 new openings in the last 4 weeks. Primary focus: Eval Gate · Product.
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.
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 |
|---|---|---|
| Machine Learning Scientist (All Levels) 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. | Post-trainServe | 9 |
| 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 |
| Clinician Scientist 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. | Post-trainAgent | 7 |