Tech Lead/Senior Staff Software Engineer, Machinify

Salary not provided

The base salary range for this role is $235k +/-, Plus equity

SQL

Python

Scala

Java

Rust

Expert level

San Francisco Bay Area

Remote from US

AI & data-driven healthcare cost reduction platform

Be an early applicant

AI & data-driven healthcare cost reduction platform

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsMachine LearningSaaS

Be an early applicant

Salary not provided

The base salary range for this role is $235k +/-, Plus equity

SQL

Python

Scala

Java

Rust

Expert level

San Francisco Bay Area

Remote from US

101-200 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 candidate has proven track record of building complex software systems through the full lifecycle as well as proven leadership skills to be a guide, mentor and coach as well as be a tech lead for our projects in Payment Integrity space
10+ years of hands-on experience building complex distributed systems or large-scale backend platforms
Strong working experience with Java or Scala (additional experience with python, Rust, or C# are a plus)
Deep expertise with data-intensive systems, or real-time processing pipelines
Proven ability to drive high-impact , green field and / or ambiguous projects or architecture initiatives across teams
Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements
Working experience writing SQL queries
Strong CS foundation (data structures, asynchronous programming)
BS or MS in Computer Science (or equivalent experience)

What the job involves

We are looking for an experienced Staff or Principal level Software Engineer to join our growing engineering team
In this role you will be responsible for shaping and architecting the next generation of Payer related solutions driven by a foundation that is based on AI and use of LLMs to solve payment integrity across claims processing for Healthcare Payers
You’ll have the opportunity to work on a platform that sits at the intersection of engineering, AI, modeling, and real-world decision automation
As a cross-functional high impact role, you’ll influence foundational technical decisions and collaborate with a world-class engineering team solving meaningful and complex problems!
Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference
Shape long-term architectural direction, technology stack, and engineering best practices
Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform
Mentor and guide engineers across teams, fostering strong engineering culture and technical excellence
Partner with peers in product management, operations and data science to translate ambiguous business requirements into actionable technical plans
Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products

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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