Principal Software Engineer-Natural Language Processing
Confirmed live in the last 24 hours
Memora Health

51-200 employees

Provides digitized & automated care programs
Company Overview
Memora Health is on a mission to make complex care journeys simple for patients and clinicians. They're assembling a world-class team of mission-driven Memorians who are energized by the problem we’re solving. It all began when their co-founders recognized that navigating care is challenging and care teams don’t have enough resources to support their patients.
Data & Analytics
B2B

Company Stage

N/A

Total Funding

$82.8M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

7%

2 year growth

146%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Node.js
Django
Docker
Flask
Tensorflow
Natural Language Processing (NLP)
Kubernetes
Python
TypeScript
UI/UX Design
FastAPI
CategoriesNew
Software Engineering
Requirements
  • 10+ years experience in shipping enterprise-grade software products
  • Experience leading complex projects from start to finish and across multiple release cycles, including conceptualization, product integration, deployment, monitoring, and upgrade
  • Proficient in at least one ML framework (TensorFlow, PyTorch, etc)
  • Experience in building and deploying modern Deep Learning and NLP models into production
  • Ability to write readable and maintainable Python code
  • Experience with at least one Python web framework - Flask (preferred), Django, FastAPI
  • Ability to collaborate with Product Management to clarify requirements, scope work, and drive product deliverables
  • Excels in mentoring junior engineers
  • B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
Responsibilities
  • Enhance and evolve Memora's NLP product architecture and implementation, including our patient message understanding pipeline, data collection, and patient feedback processes
  • Work with a unique dataset of 100M+ patient interactions, structured conversations, and natural / unstructured data sources
  • Keep current with SOTA conversational AI models and emerging architectures for LLM applications
  • Help drive strategy and thought leadership across the company around conversational AI industry trends
  • Develop models to solve conversational AI problems within our pipeline and work with backend and TechOps engineers to integrate and deploy the models into production
  • Work closely with cross-functional teams to understand product pain points and identify, prioritize, and implement solutions
  • Work with product managers, UX designers, and full-stack engineers to build tools for data labeling, content maintenance, etc
  • Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers
Desired Qualifications
  • Experience with Node.js and TypeScript
  • Experience with Docker and Kubernetes
  • Experience in healthcare
  • Experience working at a startup