Staff Software Engineer, Machinify

Backend / ML Platform

$200-250k

+ Equity

SQL

Python

Scala

Java

C++

Senior and Expert level

San Francisco Bay Area

Remote from US

AI cost reduction platform for healthcare

Job no longer available

AI cost reduction platform for healthcare

501-1000 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsMachine LearningSaaS

Job no longer available

$200-250k

+ Equity

SQL

Python

Scala

Java

C++

Senior and Expert level

San Francisco Bay Area

Remote from US

501-1000 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsMachine LearningSaaS

Company mission

To develop software that helps people get the right medical care, at the right time, at the right price.

Job

Company

Role

Who you are

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 teams are collaborative, high-performing, curious, aligned to our product goals, and impactful towards the success of the business
Extensive experience in the field of application programming
ML background - production experience assisting in the build of ML/AI infrastructure or tools
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 the job involves

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
There's a strong focus on leveraging NLP/LLM techniques for our healthcare applications
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

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. 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.

With intelligent applications seeing broader adoption in the healthcare market, the company will likely see more funding and growth in the coming years. Its acquisitions of companies such as Performant Healthcare will enable it to easily expand its AI-powered operating system, creating an even more robust offering for clients.

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, CTO & Board Member)

Previously co-founded VUDU where they served as the CTO and General Manager. They also served as the CTO at Klip before founding Machinify.

David Pierre

(CEO)

20 years of experience leading and scaling high-growth healthcare technology companies. Is also CEO at Rawlings, Apixio PI and VARIS.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job