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 its AI-powered platform that transforms medical conversations into structured clinical notes in real-time. As a Senior Software Engineer (Quality), you'll be instrumental in fostering a quality-first culture throughout the organization. The role combines hands-on testing with strategic quality initiatives, requiring expertise in both manual and automated testing approaches. You'll work in a hybrid environment, collaborating with a diverse team of MDs, AI scientists, and engineers.

The position offers a competitive salary range of $165,000-$175,000 plus equity, along with comprehensive benefits including unlimited PTO, full medical coverage, and professional development opportunities. You'll be part of a mission-driven organization that's setting industry standards for responsible AI deployment in healthcare.

Key responsibilities include developing automated testing frameworks, conducting thorough manual testing, and mentoring team members in quality practices. The ideal candidate brings 5+ years of relevant experience, strong JavaScript skills, and expertise with modern testing frameworks. You'll need to work from either SF or NY office three times per week and be willing to travel up to 10% for team retreats.

Abridge offers a unique opportunity to impact healthcare through technology, working in an environment that values strong ideas, growth mindset, and diverse perspectives. The company culture emphasizes doing things differently in a legacy system, focusing on patient outcomes and user experience rather than traditional healthcare metrics.

Senior Software Engineer (Quality) role at Abridge, focusing on quality assurance and test automation for healthcare AI platform, offering $165-175K plus equity.

Senior Software Engineer (Quality)

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 Senior Software Engineer (Quality), you'll be instrumental in driving quality throughout the organization, working with cutting-edge healthcare technology and AI systems.

The role combines hands-on testing expertise with strategic quality leadership, requiring both technical proficiency and the ability to foster a quality-first culture. You'll be responsible for comprehensive testing strategies, from manual testing to developing automated frameworks, while collaborating closely with developers and product managers to ensure quality is embedded from the start.

The position offers a competitive salary range of $165,000-$175,000 plus equity, along with comprehensive benefits including full medical coverage, learning budgets, and flexible work arrangements. The hybrid work model requires 3 days per week in either San Francisco or New York offices, with occasional travel for team retreats.

Ideal candidates bring 5+ years of quality assurance experience, strong JavaScript skills, and expertise with modern testing frameworks. You'll join a diverse team of practicing MDs, AI scientists, PhDs, and engineers working to transform healthcare technology. The role offers significant growth opportunities and the chance to impact healthcare delivery through innovative technology.

Abridge's culture emphasizes strong ideas, growth mindset, and inverse thinking in healthcare, focusing on patient outcomes rather than traditional system constraints. The company provides a collaborative environment where experts from various fields come together to solve complex healthcare challenges using AI and technology.

Senior Software Engineer role focused on quality assurance and testing at Abridge, an AI-powered healthcare platform.

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 Senior Software Engineer (Quality), you'll be instrumental in driving quality throughout the organization. The role combines hands-on testing with strategic quality initiatives, requiring expertise in both manual and automated testing approaches.

You'll work in a hybrid environment, collaborating with a diverse team of practicing MDs, AI scientists, PhDs, and engineers. The position offers a comprehensive compensation package including equity and extensive benefits. Your responsibilities will span from breaking products to find improvements, to developing automation frameworks and mentoring team members.

The ideal candidate brings 5+ years of experience in quality assurance or software development, with strong JavaScript skills and expertise in test automation tools. You'll be joining a mission-driven organization that's setting industry standards for responsible AI deployment in healthcare, working from either San Francisco or New York offices at least three times per week.

This role offers unique opportunities to impact healthcare technology while working with cutting-edge AI systems. You'll be part of a culture that values strong ideas, growth mindset, and diverse perspectives, contributing to a product that improves healthcare delivery and patient outcomes.

Senior Software Engineer (Quality) role at Abridge, focusing on quality assurance and test automation for an AI-powered healthcare platform.

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)

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 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.

Abridge Engineering Jobs

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