Lead Software Engineer, DeepScribe
ML Infrastructure
$150-250k
Plus equity
AI-powered medical scribe
Job no longer available
AI-powered medical scribe
201-500 employees
Job no longer available
$150-250k
Plus 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
- You have experience mentoring engineers across teams, including other senior engineers
What the job involves
- We are seeking a Lead ML Infrastructure Engineer to spearhead the development of our core ML training, inference, and evaluation platforms
- This role involves building robust infrastructure to power our AI-driven clinical documentation models, and crafting tools for rapid model development and deployment
- There is a people management opportunity for the right candidate
- You’ll lead the development of our ML infrastructure to support the development of our in-house LLM for clinical documentation
- You’ll be responsible for the reliability, performance, and security of our training data pipelines
- You’ll be responsible for building our core inference infrastructure
- You’ll partner across product engineering teams to build production systems at scale that power the products our customers use every day
- You’ll leverage industry best practices that will improve DeepScribe’s customer-facing AI models that our customers rely on
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
-35% employee growth in 12 months
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 HQ
Fisherman's Wharf, San Francisco, CA
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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