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.
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 |
| Staff Content Designer, Model UX This role focuses on shaping the voice and content of Abridge's AI, embedding content standards into training data and prompts, and translating complex technical concepts into clear, useful language for clinicians and patients. The goal is to define and own the AI's communication style across various surfaces and stages of the product lifecycle. | Post-train | 7 |
| 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 |