Level

Abridge

Member of Technical Staff, Data

AI in this role

Build and optimize large-scale data infrastructure and pipelines to support machine learning training and evaluation.

pythonsqlgcpawsazure
ai-researchdata-engineeringpipelinesetlmlopsinfrastructure

About Abridge

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.

The Role

Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Data Engineer to join our growing US-based Data Engineering team. In this crucial role, you will build and optimize large scale data infrastructure to drive business decisions and machine learning research.

What You’ll Do

  • Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.

  • Build and manage OLAP databases, ELTs and general data tooling for analytics , business decisions and products features.

  • Work closely with a team of frontend and backend engineers, product managers, and analysts.

  • Optimize data infrastructure to enhance the throughput, latency and reliability of the data system.

  • Investigate and correct issues identified through data operations monitors, tools, and reports.

  • Designs data integrations and data quality framework.

What You’ll Bring

  • 8+ years of experience in Data Engineering or Backend Engineering with a focus on data systems.

  • Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant)

  • Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services

  • Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types

  • Deep knowledge of modern data infrastructure best practices

  • Experience with distributed systems and different distributed processing frameworks

  • Experience with Terraform, Kubernetes, and containerization technologies.

  • Familiarity with the deploying ML models at scale a bonus

  • Experience in building data products that are well-modeled, documented and easy to understand and maintain.

  • Ability to prioritize amidst changing priorities in a fast moving environment

Why Work at Abridge?

At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.

Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.

Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.

We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.

If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.

How we take care of Abridgers:

  • Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees

  • Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.

  • Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.

  • Paid Parental Leave: Generous paid parental leave for all full-time employees.

  • Family Forming Benefits: Resources and financial support to help you build your family.

  • 401(k) Matching: Contribution matching to help invest in your future.

  • Personal Device Allowance: Tax free funds for personal device usage.

  • Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.

  • Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.

  • Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.

  • Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.

  • Compensation and Equity: Competitive compensation and equity grants for full time employees.

  • ... and much more!

Equal Opportunity Employer

Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process.

Staying safe - Protect yourself from recruitment fraud

We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

How we rate this

Member of Technical Staff, Data at Abridge rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI ResearchData EngineeringPipelinesETLMLOpsInfrastructurePythonSQL

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where data engineering was part of your work. What did you do?
  3. Tell me about a project where pipelines was part of your work. What did you do?
  4. Tell me about a project where etl was part of your work. What did you do?
  5. Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Research, Data Engineering, Pipelines, ETL, and MLOps. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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