Senior Software Engineer, DeepScribe
Machine Learning Infrastructure
$150-200k
+ Equity
AI-powered medical scribe
Open for applications
AI-powered medical scribe
201-500 employees
Open for applications
$150-200k
+ Equity
201-500 employees
Company mission
To bring the joy of care back to medicine.
Role
Who you are
- You have 5+ years experience in building and scaling performant software infrastructure
- You have a track record of deploying ML models and and have familiarity of the full lifecycle of model development
- You’re an effective team player and communicator, and are able to work across functions to find effective solutions
What the job involves
- We are seeking a Senior Software Engineer for the ML Infrastructure team
- The ML Infra team is responsible for building the core platforms & infrastructure that power DeepScribe’s AI stack
- Develop and optimize infrastructure for audio processing, transcription, and LLM orchestration, ensuring scalability, reliability, and performance
- Build and maintain core inference infrastructure, including model serving pipelines for transcription and document generation
- Collaborate with product and AI engineering teams to integrate ML models into scalable, production-grade systems
- Design and manage infrastructure as code (IaC) using tools like Terraform to automate and standardize deployment and infrastructure management
- Leverage AWS services (e.g., EC2, Lambda, S3, EFS) to support high-availability, low-latency ML pipelines and processing systems
- Implement and maintain monitoring, alerting, and logging for production infrastructure, ensuring system reliability and quick issue resolution
- Ensure security best practices are enforced across ML infrastructure, with a focus on data protection, role-based access, and compliance with HIPAA & SOC-2
Our take
Medical professionals spend gargantuan amounts of time on clinical documentation, which is a vital tool in providing the right healthcare for individuals. However, this time spent on admin is not spent on patient care – which can be perceived as neglectful – and often eats into the personal time of practitioners. DeepScribe delivers an AI and NLP-led digital scribe to record conversations and examinations as they happen, saving doctors time and allowing them to focus on their patients.
DeepScribe was founded in 2017 to combat both the burden of documentation on doctors, and the impact it has on patient’s perception of their care, both of which the founders has experienced. Its ambient AI scribe, the first of its kind, is able to understand and summarize patient conversations, going beyond the speech-to-text capabilities of classic scribing tools. It then integrates the conversation into the health record system already employed by the practitioner, uploading directly into fields in the electronic health record so that they only need to review and sign off the notes, rather than writing them up.
DeepScribe’s platform is used by more than 400 physicians, and has processed around 500,000 conversations. It has established partnerships with big healthcare players such as Stanford Health Care and the Texas Medical Center, and has raised impressive funds that will accelerate growth, improve reach, and allow it to grow its teams.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Oct 2023
$24m
SERIES B
Jan 2022
$30m
SERIES A
Total funding: $61.2m
Company benefits
- Flexible Work Hours
- Meaningful Equity
- Medical, Dental & Vision: for you and your family/dependents
- Work from Home (100%)
- Unlimited Time Off
- 401k Plan (Guideline)
- Workstation Budget
- Apple Macbook Pro M1 or a windows equivalent
Company values
- We believe that the best companies are those that leverage the collective braintrust of its members
- Our diversity in race, age, sexuality, ethnicity, and world view help us bring out the most in each other and the most in DeepScribe
- It takes a committed team to bring the joy of care back to medicine
Company HQ
Fisherman's Wharf, San Francisco, CA
Articles
Leadership
Akilesh Bapu
(CEO)Worked as a NLP Research Scientist at Berkeley AI Research. Former iOS Lead at Berkeley Mobile.
Matthew Ko
(COO & President)Previously a Technology Consultant in the Financial Services Office at EY. Founded Delphi.
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