Posted:
9/5/2024, 5:09:34 PM
Location(s):
California, United States ⋅ Palo Alto, California, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Remote
Pay:
$105/hr or $218,400 total comp
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 Sr/Staff Software Engineer, BE|ML with a focus not only in back-end web application development but also has experience with Machine Learning to join our growing AI focused healthcare startup!
The ideal background with have somewhere around 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
Build data platforms that are 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, 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
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 $180k to $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.
Website: https://www.machinify.com/
Headquarter Location: Palo Alto, California, United States
Employee Count: 11-50
Year Founded: 2016
IPO Status: Private
Last Funding Type: Series A