Transformative AI Engineer: Developing Scalable Healthcare Solutions

2 days ago


Palo Alto, California, United States Machinify Full time

Machinify is revolutionizing the healthcare industry with its cutting-edge AI-powered software products. By streamlining claims processing and increasing accuracy, Machinify is making a significant impact on reducing waste and frustration for patients, providers, and payers.

As a Staff Software Engineer, Backend | ML, you will play a crucial role in developing and deploying innovative AI-platforms that transform the landscape of healthcare. With a strong emphasis on building infrastructure or tooling for ML/AI Platforms, this hire will partner closely with our Tech Lead - ML Platform to deliver high-performing ML and AI products.

We're seeking a highly skilled engineer who can contribute to the underlying ML platform, ensuring it's extensible, scalable, and secure. You will also build data platform infrastructure that meets these same criteria. Your expertise will help us recognize and prioritize customer deliverables and tech debt, ensuring a sustainable software suite of products.

The ideal candidate will have extensive experience in web application programming, a strong background in ML, and production experience assisting in the build of ML/AI infrastructure or tools. Proficiency in Java, SQL queries, and a strong CS foundation are essential. Python, Scala, C++, and C# are also valuable skills.

We offer a competitive salary range of $240k +/-. This total compensation package includes meaningful equity, excellent healthcare, flexible time off, generous learning and development reimbursement policy, and a trusting environment where you'll feel empowered to do your best work.

We believe in equal employment opportunity and strive to create an inclusive workplace that values diversity and unique perspectives. Our engineering team is composed of the best and brightest software developers and data engineers, working together to write code that has a significant impact on our customers and future product lines.



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