Natural Language Processing Scientist / Engineer, Machinify
$200-300k
Plus equity
AI & data-driven healthcare cost reduction platform
Open for applications
AI & data-driven healthcare cost reduction platform
21-100 employees
Open for applications
$200-300k
Plus equity
21-100 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
- You are an expert in NLP
- You're comfortable writing production code
- 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 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
What the job involves
- We’re seeking a high level NLP Scientist/Eng to join our AI focused healthcare startup
- Our team has deployed models that check for anomalies in medical claims, predict the trajectory of care of a particular patient and the next likely treatment and even “read and understand” medical record documents using state-of-the-art NLP and computer vision techniques to assist clinicians
- 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 to 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
Insights
Few candidates hear
back within 2 weeks
9% employee growth in 12 months
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
- Premium medical, dental & vision benefits
- 401k plan sponsorship
- No-meeting day every week
- Flexible PTO
- Inclusive paid parental leave (14 weeks)
- Company wide recharge days
- Bi-weekly open forum meetings
- Mentorship from industry leaders
- Annual learning and development stipend
Company HQ
University South, Palo Alto, CA
Articles
Leadership
Alain Rossmann
(Chairman of the Board)Founder and former CEO of several Startups including Klip, PSS Systems and vudu.
Prasanna Ganesan
(CEO)Founder and former CTO of vudu. Former CTO at Klip.
Tony S. M.
(President)Founder and former CEO of vudu. Former Board Member at CHILI and previously COO at Poynt.
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