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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 13 active AI roles, with 18 new openings in the last 4 weeks. Primary focus: Eval Gate · Product.

Hiring
13 / 14
Momentum (4w)
↓-1 -5%
18 opens last 4w · 19 prior 4w
Salary range
—
Tracked since
Jul '25
last role 5w ago
Hiring velocityscroll left for older weeks
2 new roles
Apr 14
2 new roles
May 19
1 new role
Jul 7
1 new role
Aug 18
1 new role
25
1 new role
Sep 1
1 new role
22
2 new roles
Oct 6
1 new role
13
1 new role
Nov 17
1 new role
Dec 8
1 new role
Jan 5
1 new role
12
2 new roles
19
4 new roles
26
3 new roles
Feb 16
2 new roles
23
4 new roles
Mar 2
3 new roles
9
4 new roles
16
3 new roles
30
5 new roles
Apr 6
4 new roles
13
4 new roles
20
8 new roles
27
1 new role
May 11
7 new roles
18
3 new roles
25
9 new roles
Jun 1
4 new roles
8
1 new role
15
4 new roles
22
Abridge

Abridge

Vertical AI · Medical AI scribing

HQ
Pittsburgh, US
Founded
2018
Website
abridge.com

Frequently asked questions

  • What AI roles is Abridge hiring for?

    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.

  • What stage of AI development does Abridge focus on?

    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.

  • Where is Abridge hiring AI talent?

    Abridge is hiring AI talent in: United States (20 roles).

  • What technologies does Abridge's AI team work with?

    Job postings at Abridge most frequently reference: llm observability, evals, model serving, agent orchestration, inference infra.

  • How many AI roles has Abridge posted recently?

    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).

Jobs (13)

13 AI · 55 total active
Show
Active onlyAI only (≥ 7)
Stage
AllPost-train · 2Serve · 2Agent · 4Eval Gate · 4Ship · 1
Function
AllEngineering · 6Research · 4Product · 3
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Engineering Manager, Model Inference
Engineering Manager to lead and grow the Model Inference team, focusing on architecting and scaling low-latency, high-throughput inference infrastructure for Abridge's generative AI products in healthcare. Responsibilities include technical direction, model optimization, deployment, and team leadership.
ServeEngineeringSan Francisco, CA5w ago9
Software Engineer, GenAI
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.
AgentServeEngineeringSan Francisco, CAMar 49
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-trainServeResearchSan Francisco, CAJul '259
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 GateDataResearchNew York, NYMar 198
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 GateResearchNew York, NYMar 38
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-trainProductSan Francisco, CADec '258
Software Engineer, Gen AI Platform
Software Engineer, Gen AI Platform at Abridge, focusing on building the runtime, orchestration engine, and evaluation platform for agentic LLM-driven workflows in healthcare.
AgentEval GateEngineeringSan Francisco, CAOct '258
Machine Learning Infrastructure Engineer- Model Inference
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.
ServeEngineeringSan Francisco, CAAug '258
Senior / Staff Software Engineer, Agentic Engineering
Abridge is seeking a Senior/Staff Software Engineer for their new Agentic Engineering team. This role focuses on building the internal agentic infrastructure, CI/CD systems, and AI-assisted tooling that engineers at Abridge rely on to develop and ship software. The position involves designing and implementing agentic workflows, improving the developer experience, and evaluating AI tooling to enhance engineering velocity and operational efficiency within the healthcare domain.
AgentEngineeringSan Francisco, CA2w ago7
Staff Application Security Engineer
Staff Application Security Engineer at Abridge, a healthcare AI company. The role focuses on building and leading application security initiatives, including threat modeling, secure SDLC, vulnerability management, and incident response, with a specific emphasis on securing AI models, agents, and associated systems. Requires deep technical expertise, a builder's mindset, and experience in cloud environments and programming languages.
AgentEngineeringSan Francisco, CA2w ago7
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-trainAgentResearchSan Francisco, CAApr 227
Director, Data Science
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.
ShipEval GateProductSan Francisco, CAApr 167
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 GateAgentProductSan Francisco, CAOct '257