AI-powered healthcare platform transforming patient-clinician conversations into structured clinical notes in real-time, founded in 2018.

Abridge, founded in 2018, is revolutionizing healthcare through its AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As a Staff/Senior Front End Engineer, you'll be at the forefront of building internal UI products supporting LLM Model orchestration and healthcare AI technology. The role offers a competitive salary range of $185K-$265K plus equity, and requires 5+ years of experience in building scalable distributed systems.

The position combines technical leadership with hands-on development, requiring expertise in TypeScript, Python, React, and Node.js, along with experience in LLM integration and cloud services. You'll work in a hybrid environment from the San Francisco office, collaborating with cross-functional teams including AI scientists, practicing MDs, and engineers.

The company offers comprehensive benefits including unlimited PTO, full medical coverage, learning budgets, and parental leave. Abridge's culture emphasizes innovation, growth, and diversity, focusing on transforming healthcare through technology. The role presents an opportunity to impact healthcare technology while working with cutting-edge AI solutions in a regulated environment.

This position is ideal for experienced engineers passionate about healthcare transformation, AI technology, and building user-centric solutions. You'll be part of a mission-driven organization that values strong ideas, growth mindset, and collaborative problem-solving, while maintaining high standards for security and reliability in healthcare technology.

Staff/Senior Front End Engineer role at Abridge, building AI-powered healthcare solutions with TypeScript, Python, and React, offering $185K-$265K plus equity.

Front End Engineer (Staff/Senior)

AI-powered healthcare platform transforming patient-clinician conversations into structured clinical notes in real-time with EMR integrations.

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As a DevOps Engineer, you'll join a mission-driven team working on cutting-edge healthcare technology solutions. You'll be responsible for building, securing, and scaling their industry-leading natural language understanding products using Google Cloud Platform (GCP) and modern DevOps practices.

The role offers an exciting opportunity to work alongside application and machine learning engineers, planning and deploying services using terraform and GCP. You'll be instrumental in creating secure integrations with customers and healthcare systems, while implementing and maintaining robust CI/CD pipelines. The position requires a hybrid work arrangement in either San Francisco or New York City, with at least three days per week in the office.

This is an ideal role for an experienced DevOps engineer who is passionate about healthcare innovation and wants to make a significant impact. You'll be working with a diverse team of practicing MDs, AI scientists, PhDs, creatives, and engineers. The company offers comprehensive benefits including competitive salary, equity, full healthcare coverage, unlimited PTO, and professional development opportunities.

The role combines technical expertise with the opportunity to contribute to meaningful healthcare improvements. You'll be at the forefront of implementing secure, scalable infrastructure for AI-powered healthcare solutions while working in a collaborative, fast-paced startup environment. If you're excited about using your DevOps skills to transform healthcare and want to join a company setting industry standards for responsible AI deployment, this role offers the perfect opportunity to make a difference.

Senior DevOps Engineer role at Abridge, building and scaling AI-powered healthcare solutions with competitive salary, equity, and comprehensive benefits.

DevOps Engineer (Staff/Senior)

AI-powered platform transforming patient-clinician conversations into structured clinical notes in real-time, improving healthcare documentation efficiency.

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As a Staff/Senior Full Stack Engineer, you'll join their Product Engineering team to build and scale web applications and backend systems. The role offers a competitive salary range of $185,000-$265,000 plus equity, focusing on TypeScript development and architectural decisions.

The position requires 5+ years of experience in cloud-based distributed systems and expertise in regulated environments. You'll work in a hybrid setting from either San Francisco or New York offices, collaborating with cross-functional teams including design, product, and machine learning experts. The role combines technical leadership with hands-on development, requiring experience with event pipelines and tools like Kafka.

Abridge offers comprehensive benefits including unlimited PTO, full medical coverage, learning budgets, and parental leave. The company culture emphasizes innovation, growth mindset, and diverse perspectives. You'll be part of a team including practicing MDs, AI scientists, PhDs, and engineers, working to improve healthcare understanding through technology.

The ideal candidate will contribute to technical strategy, mentor others, and help maintain high engineering standards while working in a fast-paced startup environment. This role provides an opportunity to impact healthcare technology while working with cutting-edge AI solutions and maintaining compliance with healthcare regulations.

Staff/Senior Full Stack Engineer position at Abridge, building AI-powered healthcare documentation solutions with competitive salary and comprehensive benefits.

Full Stack Engineer, Product (Staff/Senior)

AI-powered platform for medical conversations, transforming patient-clinician interactions into structured clinical notes in real-time.

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms medical conversations into structured clinical notes in real-time. They are seeking a Machine Learning Science Manager to lead a team of applied scientists focused on machine learning and natural language processing in the medical domain. The role combines technical leadership with hands-on research, requiring expertise in deep learning, statistics, and medical NLP. The position offers a competitive salary range of $250,000-$300,000 plus equity, and requires hybrid work from their San Francisco office at least 3 times per week.

The ideal candidate will lead research initiatives in medical NLP, focusing on conversation summarization, evidence extraction, and outcome prediction. They will be responsible for managing and mentoring a team of research scientists while actively contributing to the research community through publications. The role demands a strong background in machine learning, demonstrated through advanced degrees and publications at top AI conferences.

Abridge offers a comprehensive benefits package including unlimited PTO, full medical coverage, equity, learning budgets, and flexible working hours. The company culture emphasizes innovation, growth mindset, and diverse perspectives, bringing together engineers, scientists, and healthcare experts to transform the healthcare industry. Their mission-driven approach focuses on improving patient care and medical understanding through advanced AI technology.

Working at Abridge means joining a team that's setting industry standards for responsible AI deployment in healthcare, with opportunities to influence both technology and healthcare policy. The position requires occasional travel (up to 10%) for team retreats and offers relocation assistance for candidates moving to San Francisco.

Lead ML research team developing AI solutions for medical conversation understanding at Abridge, offering $250-300K salary plus equity in San Francisco.

Machine Learning Science Manager

AI-powered healthcare platform that transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations.

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As a Machine Learning Systems Engineer, you'll be at the forefront of scaling and deploying ML models that power this innovative healthcare solution. The role combines technical expertise in ML systems with practical implementation, requiring skills in Python, Kubernetes, and cloud infrastructure.

You'll be responsible for architecting and implementing ML software systems, ensuring they can handle increasing traffic demands while maintaining high availability and performance. The position offers a competitive salary range of $200K-$265K plus equity, along with comprehensive benefits including full medical coverage, learning budgets, and flexible PTO.

The ideal candidate brings 5+ years of ML model deployment experience, strong technical skills, and a passion for healthcare innovation. You'll work in a hybrid setting from the San Francisco office, collaborating with a diverse team of practitioners, scientists, and engineers. This is an opportunity to make a significant impact in healthcare while working with cutting-edge AI technology.

The company culture emphasizes growth, innovation, and a mission-driven approach to improving healthcare understanding. With a focus on patient-centric solutions and responsible AI deployment, Abridge offers a unique opportunity to work on meaningful problems while advancing your career in ML engineering.

Senior ML Systems Engineer role at Abridge, building scalable AI infrastructure for healthcare, offering $200K-$265K + equity, hybrid work in San Francisco.

Machine Learning Systems Engineer (Staff/Senior)

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As an ML Infrastructure Engineer, you'll be at the forefront of scaling and deploying machine learning models that power this innovative healthcare solution. The role combines technical expertise in ML systems with practical application in healthcare technology.

You'll be responsible for architecting and implementing scalable ML software systems, ensuring robust model deployment, and maintaining high-performance infrastructure. The position requires expertise in Python, Kubernetes, and cloud environments, with a focus on building fault-tolerant, highly available systems. You'll work closely with ML researchers and engineers to integrate models with various platforms and services.

The company offers an attractive compensation package including a competitive base salary range of $200K-$265K plus equity, comprehensive benefits, and a strong focus on work-life balance. The role is hybrid, requiring 3 days per week in the San Francisco office, with relocation assistance available.

Abridge's culture emphasizes innovation, growth, and collaboration, bringing together diverse expertise from engineering, science, design, and health policy. They're committed to transforming healthcare through technology while maintaining a strong focus on patient outcomes and user experience. The company provides numerous opportunities for professional development, including a generous learning budget and regular team retreats.

This is an excellent opportunity for an experienced ML engineer looking to make a meaningful impact in healthcare while working with cutting-edge AI technology in a supportive, mission-driven environment.

Senior ML Infrastructure Engineer role at Abridge, building scalable AI systems for healthcare, offering $200K-$265K + equity, hybrid work in San Francisco.

ML Infrastructure Engineer (Staff/Senior)

AI-powered healthcare platform that transforms patient-clinician conversations into structured clinical notes in real-time with EMR integrations.

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As an ML Systems Engineer, you'll be at the forefront of scaling and deploying machine learning models to handle increasing traffic demands and integrating them with various healthcare platforms. The role combines technical expertise in ML infrastructure with practical healthcare applications.

The position offers a competitive salary range of $200K-$265K plus equity, reflecting the company's commitment to transparent pay practices. Based in San Francisco with a hybrid work model requiring 3 days per week in office, the role demands 5+ years of experience in ML model deployment and scaling, with strong expertise in Python, Kubernetes, and cloud environments.

The ideal candidate will bring deep technical knowledge in designing fault-tolerant systems and ML infrastructure, while working closely with cross-functional teams to implement solutions that directly impact healthcare delivery. You'll be responsible for architecting ML software systems, managing model deployments, and ensuring seamless integration with services like Zoom and Athena.

Abridge offers comprehensive benefits including unlimited PTO, full medical coverage, equity, learning budgets, and flexible working hours. The company culture emphasizes growth, innovation, and diversity, making it an ideal environment for those passionate about using AI to transform healthcare. Join a team of practicing MDs, AI scientists, and engineers working together to make healthcare more accessible and understandable.

Senior ML Platform Engineer role at Abridge, building scalable AI infrastructure for healthcare conversations with competitive pay and comprehensive benefits.

ML Platform Engineer (Staff/Senior)

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As a Staff/Senior Full Stack Engineer, you'll be at the forefront of building internal UI products supporting LLM Model orchestration, evaluation, and dataset curation. The role combines cutting-edge AI technology with healthcare innovation, requiring expertise in TypeScript, Python, React, and cloud services.

Working in a hybrid environment in San Francisco, you'll collaborate with Applied AI and product teams to develop innovative ML-powered solutions. The position offers competitive compensation ($185K-$265K plus equity) and comprehensive benefits including unlimited PTO, full healthcare coverage, and professional development opportunities.

The ideal candidate brings 5+ years of experience in distributed systems, hands-on LLM experience, and strong leadership capabilities. You'll be joining a diverse team of practicing MDs, AI scientists, PhDs, and engineers working to empower people and make healthcare more sensible.

This role is perfect for someone passionate about healthcare transformation, AI technology, and building scalable solutions. You'll have the opportunity to make significant impact in a high-growth startup while working on meaningful healthcare solutions. The company culture emphasizes growth, innovation, and work-life balance, with flexible working arrangements and comprehensive benefits.

Staff/Senior Full Stack Engineer role at Abridge, building AI-powered healthcare solutions with TypeScript, Python, and React, offering $185K-$265K plus equity.

Full Stack Engineer (Staff/Senior)

Abridge, founded in 2018, is revolutionizing healthcare through their AI-powered platform that transforms patient-clinician conversations into structured clinical notes in real-time. As a Staff/Senior Full Stack Engineer, you'll be at the forefront of building internal UI products supporting LLM Model orchestration, evaluation, and dataset curation.

The role demands expertise in TypeScript, Python, and React, with a focus on creating highly scalable cloud-based services. You'll work closely with Applied AI and product teams to develop innovative ML-powered solutions advancing healthcare AI technology. Key responsibilities include designing scalable infrastructure for LLM model orchestration, making critical architecture decisions, and mentoring junior engineers.

The ideal candidate brings 5+ years of experience in distributed systems, hands-on LLM experience, and proficiency in cloud services. You'll be joining a diverse team of practicing MDs, AI scientists, PhDs, and engineers working together to make healthcare more accessible and understandable.

Working from the San Francisco office at least three times per week, you'll enjoy comprehensive benefits including unlimited PTO, equity, full medical coverage, and a generous learning budget. The compensation package ranges from $185,000 to $265,000 USD plus equity, reflecting the company's commitment to attracting top talent.

This is an opportunity to make a significant impact in healthcare technology while working with cutting-edge AI solutions. Abridge's culture emphasizes strong ideas, growth mindset, and cross-functional collaboration, making it an ideal environment for those passionate about transforming healthcare through technology.

Senior/Staff Full Stack Engineer position at Abridge, building AI-powered healthcare documentation solutions with TypeScript, Python, and React.

Abridge is a healthcare AI company founded in 2018 that transforms patient-clinician conversations into structured clinical notes in real-time, improving clinical documentation efficiencies.

Abridge, founded in 2018, is on a mission to power deeper understanding in healthcare. As a Machine Learning Systems Engineer at Abridge, you'll be responsible for scaling and deploying machine learning models to handle increasing traffic demands and integrating them with various platforms. You'll play a pivotal role in building a scalable infrastructure that supports current deployments and lays the foundation for long-term growth.

Key responsibilities include:
- Architecting, designing, and implementing ML software systems for deploying and managing models at scale
- Standing up ML models for inference, starting with critical models like the 'linkages' model
- Developing and maintaining infrastructure that supports efficient ML operations
- Collaborating with ML researchers, engineers, and cross-functional teams
- Optimizing and maintaining the performance of ML systems

Requirements:
- 5+ years of experience in ML model deployment and scaling
- Strong proficiency in Python and Kubernetes
- Expertise in designing fault-tolerant, highly available systems
- Experience with cloud environments and Infrastructure as Code (IaC)
- Bachelor's/Master's Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent

Abridge offers a competitive compensation package, including a base salary range of $200,000 - $265,000 USD per year, plus equity. The position requires a hybrid work model with at least 3 days per week in the San Francisco office and up to 10% travel for team retreats.

Benefits include flexible/unlimited PTO, medical insurance, dental & vision insurance, learning and development budget, 401k plan, paid parental leave, and more. Abridge values diversity and inclusion, welcoming applicants from all backgrounds to join their mission-driven organization.

Join Abridge as a Machine Learning Systems Engineer to scale and deploy AI models for healthcare, offering a competitive salary and benefits package.

Abridge, founded in 2018, is revolutionizing healthcare with its AI-powered platform for medical conversations. Our mission is to power deeper understanding in healthcare by transforming patient-clinician conversations into structured clinical notes in real-time. We're seeking a highly motivated Data Engineer to join our growing US-based Data Engineering team.

In this crucial role, you will:
- Build and maintain scalable data services, pipelines, and storage solutions for ML training and evaluation
- Manage OLAP databases, ELTs, and data tooling for analytics, business decisions, and product features
- Work closely with frontend and backend engineers, product managers, and analysts
- Optimize data infrastructure for enhanced throughput, latency, and reliability
- Investigate and correct issues in data operations
- Design data integrations and quality frameworks

The ideal candidate has:
- 5+ years of experience in Data Engineering or Backend Engineering
- Proficiency in a general-purpose programming language and SQL
- Experience with cloud providers and data services
- Knowledge of modern data infrastructure best practices
- Experience with distributed systems and processing frameworks
- Familiarity with Terraform, Kubernetes, and containerization technologies

We offer competitive compensation, including equity, and a comprehensive benefits package. Our culture values strong ideas, loosely held, and a growth mindset. Join us in transforming healthcare through AI and advanced technology!

Join Abridge as a Data Engineer to build scalable data infrastructure for AI-powered healthcare solutions.

Data Engineer (Staff/Senior)

Abridge is a healthcare AI company founded in 2018 that transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations.

Abridge, founded in 2018, is on a mission to power deeper understanding in healthcare. Our AI-powered platform transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. We're seeking a Staff/Senior Integrations Engineer to join our growing team. In this role, you'll design, build, and scale our integrations powering our product, working alongside engineers, implementation specialists, support, and product managers.

Key responsibilities include:
- Scaling up our business by designing, building, and supporting integrations and infrastructure
- Building robust healthcare integrations using REST-like APIs, FHIR, HL7v2, and other third-party APIs
- Collaborating with health system customers to deploy, troubleshoot, and support integrations
- Enhancing existing systems for improved functionality, performance, and security
- Advocating for high standards and making quality-of-life improvements to the codebase

Requirements:
- 5+ years of experience launching business-critical integrations with large enterprises
- Experience with REST-like APIs, OAuth2.0, mTLS
- Excitement about working with NodeJS/TypeScript and Google Cloud Platform
- Passion for healthcare integrations
- Strong communication skills and ability to work autonomously

The role offers a competitive salary range of $185,000 - $265,000 USD per year, plus equity. We prefer candidates willing to work from our SF or NYC offices 2-3x/week or based in the Verona, Wisconsin area. Relocation assistance is available.

At Abridge, we offer great benefits including unlimited PTO, comprehensive benefits package, learning and development budget, 16 weeks paid parental leave, flexible working hours, and more. Join us in our mission to bring understanding and follow-through to every medical conversation!

Abridge is hiring a Full Stack Engineer, Integrations (Senior/Staff) to design and build healthcare integrations using AI technology.

Abridge Engineering Jobs

AI-powered healthcare platform transforming patient-clinician conversations into structured clinical notes in real-time, founded in 2018.