Abridge
Senior Software Engineer, Data
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · SF Office
Employer listed it 3 weeks ago · Added 4 days ago
Been open since 3 weeks ago, still checked daily, but it has been live a while.
Salary
$210,800–$248,000
Location
Hybrid · SF Office
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around SF Office, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "SF Office, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
Requirements
- ·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
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Abridge, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$210,800–$248,000 · You'll be taken to the employer's careers page.