Machine Learning Data Scientist, Machinify

$180-250k

+ Equity

SQL

Python

Senior 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

$180-250k

+ Equity

SQL

Python

Senior 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

You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while
You are comfortable measuring and optimizing the direct business impact of work
You are interested in learning about the healthcare industry and helping us improve the care millions of people receive
You are scrappy, and love solving hard problems that matter
You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.)
You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful
You are a critical thinker who can be strategic without losing attention to detail
You are comfortable taking the initiative and owning projects from start to finish
You can build positive relationships based on trust and value delivered

What the job involves

Advance Machinify’s capabilities to model and understand medical decisions which will power a range of products in the claims processing space
Make thoughtful decisions around which methods/algorithms are likely to work well in solving the business problem at hand
Consider the quality of the available input data and build robust systems that will work well in the presence of noise/errors
Measure the model output in practical real-world settings and iterate your approach
Learn about the healthcare industry and become an expert over time

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.

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