Software Engineer, Machinify
Machine Learning
AI & data-driven healthcare cost reduction platform
Open for applications
AI & data-driven healthcare cost reduction platform
101-200 employees
Open for applications
101-200 employees
Company mission
To develop software that helps people get the right medical care, at the right time, at the right price.
Role
Who you are
- Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments
- Production experience with big-data technologies and systems for handling sophisticated AI-driven workflows
- Proven track record in reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review
- Strong collaboration skills to work effectively with data scientists and other engineers in a cross-functional team environment. Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams
- A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts
- Bachelors of Science in CS or related field
- 3+ years building and shipping production AI/ML solutions and co-working with Data Scientists
- Experience with Java/Scala or similar languages
- 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
What the job involves
- Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions. You will work closely with data scientists on ensuring that state-of-the art AI systems, including LLM prompt engineering, RAG, agents, and other techniques can scale flexibly in Machinify services
- Build systems that enable high velocity and robust end-to-end data science experimentation cycles
- Drive projects aimed at significantly reducing manual audit review times and automating complex review types. Build upon our existing cutting-edge NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records
- Deeply collaborate with Data Science, Data Engineering in order to deliver results through end-to-end solutions
- Explore and implement advanced AI approaches like AI agents to automate workflows and support increasingly complex use cases
Our take
Founded in 2016, Machinify's original aims were to help re-tool business operations across industries, transform data into decisions, and enable established enterprises to keep up with the rapidly digitizing space. Nowadays, the company has pivoted to employ its AI expertise specifically in the healthcare industry, where it has already found success with Payers and secured several market-leader customers.
Healthcare is one of many industries where companies have vast pools of data but struggle to make the most of it due to operational restraints in deploying AI systems. Machinify makes it easier for Payers to implement AI-powered decision-making, applying it to the authorization of treatments, review of medical claims and bills, and diagnosis of underlying conditions.
The company's choice to focus on healthcare comes alongside a more pinpointed mission to help tackle overpayment and supply more affordable healthcare to a broader scope of patients, which is definitely commendable. With intelligent applications such as those Machinify provides seeing broader adoption in the market, the company will likely see more funding and growth in the coming years.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2018
$10m
SERIES A
Mar 2016
$2.8m
SEED
Total funding: $15.6m
Company benefits
- Work from anywhere in the US
- Home office stipend
- Work on big projects that impact millions of lives
- Premium medical, dental & vision benefits
- 401k plan sponsorship
- No-meeting day every week
- Individual Equity and Tax Advisory services
- Flexible PTO
- Home office stipend
- Mentorship from industry leaders
- Annual learning and development stipend
Company HQ
University South, Palo Alto, CA
Leadership
Prasanna Ganesan
(Co-Founder & CEO)Previously co-founded VUDU where they served as the CTO and General Manager. They also served as the CTO at Klip before founding Machinify.
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