Full-Time

Senior Software Engineer

Backend, Remote

Posted on 6/5/2024

Machinify

Machinify

51-200 employees

Automates healthcare data analysis with AI

AI & Machine Learning
Data & Analytics

Senior

Remote in USA

Required Skills
Python
Data Structures & Algorithms
SQL
Java
Scala
Requirements
  • 5+ years of backend focused experience in application programming
  • Strong working experience with Java
  • Working experience writing SQL queries
  • Additional experience in Python, Scala, C++, C# is a plus
  • Strong CS foundation (data structures, asynchronous programming)
  • Test writing discipline
  • Experience with reading and understanding complex enterprise-grade code
  • Critical thinking and problem-solving skills
  • BS or MS in Computer Science or equivalent experience
Responsibilities
  • Contribute to the underlying platform to ensure it is extensible, scalable, and secure
  • Recognize and prioritize between Customer deliverables & Tech debt
  • Design and architect complex frameworks for applying ML techniques to large data volumes
  • Deliver resilient enterprise software solutions

Machinify, Inc. specializes in developing software that harnesses machine learning, large language models, data analytics, and cloud processing to enhance healthcare delivery. Their primary focus is on automating the review of medical treatments, preventing unnecessary billing, and auditing medical claims for accuracy, thereby driving down healthcare costs and enhancing patient outcomes. This company offers a stimulative working environment where technology meets crucial healthcare challenges, making it an excellent workplace for those passionate about making a real-world impact through cutting-edge technology.

Company Stage

Series A

Total Funding

$13.5M

Headquarters

Palo Alto, California

Founded

2016

Growth & Insights
Headcount

6 month growth

10%

1 year growth

18%

2 year growth

57%

Benefits

Medical, dental, & vision

Flexible work environment

Generous PTO

Competitive salary

Equity

401(k)

Sponsorship

Generous L&D Reimbursement policy