Staff Software Engineer, Backend | ML (Remote)

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

We’re seeking a Staff Software Engineer, BE|ML to join our growing AI focused healthcare startup!

As a growing start-up, the ideal mix would be between a 60/40% split between backend web app development and ML platform infrastructure. There's an emphases on finding experience building infrastructure or tooling for ML/AI Platforms with proven success in getting LLM's production ready. Data modeling experience will also be beneficial as this hire will partner closely with our Tech Lead - ML Platform. We're looking to get connected if this sounds like you and have assisted in the development of AI platforms!

Our engineering team is composed of the best and brightest software developers and data engineers. They are responsible for writing code that has a significant impact on our customers and future product lines. Our teams are collaborative, high-performing, curious, aligned to our product goals, and impactful towards the success of the business. There's a strong focus on leveraging NLP/LLM techniques for our healthcare applications. We build highly performant ML and AI products that are transforming the landscape of healthcare.

What you’ll do:

• 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

What you’ll bring:

• 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)

What we offer:

• Work from anywhere in the US! Machinify is digital-first.

• Flexible and trusting environment where you’ll feel empowered to do your best work

• Unlimited PTO, recharge days and one no-meetings day a week

• 100% premium Medical/Dental/Vision benefits!

• Competitive salary, equity, 401(k) sponsorship

• Generous Learning and Development Reimbursement policy

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $240k +/-. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks to meet the needs of each individual.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.