Machinify

Sr./Staff Software Engineer [backend| ML]

Remote Palo Alto, CA
USD 200k - 250k
C# Machine Learning Java SQL Python Scala C++
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Description

Machinify is a revolutionary healthcare software company with a mission to ensure that patients get the right medical treatment, at the right time, at the right price.  Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.

We’re seeking a Sr./Staff Software Engineer [backend | ML] to join our growing AI focused healthcare startup!

The ideal background will have a ~70/30 split between BE services engineering and product experience assisting in developing infrastructure of ML/AI platform and/or tools. Data modeling experience will also be beneficial as this hire will partner closely with our Tech Lead - ML Platform.

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

  • 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 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

  • At least one of these: Java, Scala, C++, C#

  • 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

  • Medical/Dental/Vision for employees & their families

  • 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 $200k to $250k. 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. 

Machinify
Machinify
Analytics Artificial Intelligence (AI) Business Intelligence Machine Learning Mobile Predictive Analytics SaaS Software

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