Full-Time

Staff Software Engineer

Backend, ML

Confirmed live in the last 24 hours

Machinify

Machinify

51-200 employees

AI-driven solutions for healthcare administration

AI & Machine Learning
Healthcare

Compensation Overview

$240kAnnually

Senior, Expert

Remote in USA

Work from anywhere in the US!

Category
Backend Engineering
Software Engineering
Required Skills
Python
Data Structures & Algorithms
SQL
Machine Learning
Java
C#
Scala
C/C++

You match the following Machinify's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Extensive experience in the field of web application programming
  • ML background - production experience assisting in the build of ML/AI infrastructure or tools
  • Strong working experience with Java
  • Working experience writing SQL queries
  • Python, Scala, C++, C# is a plus
  • Strong CS foundation (data structures, asynchronous programming)
  • Strong test writing discipline
  • Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements
  • Critical thinking and problem solving skills working in a high growth environment
  • Comfortable with ambiguity and taking the initiative when required
  • BS or MS in Computer Science (or equivalent experience)
Responsibilities
  • Contribute to the underlying ML platform to ensure it is extensible, scalable, and secure
  • Build data platform infrastructure that is extensible, scalable, and secure
  • Recognize and prioritize between customer deliverables & tech debt to develop a sustainable software suite of products
  • Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
  • Deliver resilient enterprise software solutions
Desired Qualifications
  • Python, Scala, C++, C# is a plus

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Company Stage

Series A

Total Funding

$15.2M

Headquarters

Palo Alto, California

Founded

2016

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Machinify's acquisition by Evolent Health highlights the demand for AI in healthcare management.
  • The introduction of AI apps could save billions in administrative costs for healthcare organizations.
  • Machinify's focus on payment integrity aligns with industry needs to reduce administrative spending.

What critics are saying

  • Acquisition by New Mountain Capital may disrupt Machinify's operations and client relationships.
  • Integration into Evolent Health's platform could limit Machinify's autonomy and innovation.
  • Adoption of new AI apps may face resistance due to entrenched systems in healthcare.

What makes Machinify unique

  • Machinify leverages AI to optimize healthcare decision-making processes, enhancing efficiency and performance.
  • The company offers rapid deployment of AI-driven applications, ensuring immediate ROI for clients.
  • Machinify's comprehensive AI app suite addresses the entire healthcare claims lifecycle.

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Benefits

Medical, dental, & vision

Flexible work environment

Generous PTO

Competitive salary

Equity

401(k)

Sponsorship

Generous L&D Reimbursement policy