AI/ML Job: Machine Learning Engineer

Pager

Machine Learning Engineer at Pager

New York City, New York, United States 🇺🇸   (Posted Jun 5 2018)
About the company
Founded by an experienced team of serial entrepreneurs from successful startups (Uber, Teladoc, Gilt, One Medical Group, Buzzfeed), we are passionate about improving access to high quality and personal health care.

From long days of perfecting a great product and long nights of happy hours or group dinners, we are looking for someone smart, energetic, and fun to join our tight-knit and growing team.

A passion for health care is not necessary to apply; however, a passion for improving the lives of people and living a better life through technology is a must.

Job position
Permanent

Job description
We are looking for a Machine Learning Engineer to build and deploy Machine Learning models to augment our clinicians and provide the best possible care to our patients.

ABOUT PAGER ENGINEERING

WE ARE

Independent

Decentralized in decision making

Learning culture

Accountable

Pragmatic

Security-focused

Quality-focused

Diverse

OUR TECH STACK

Node.js, Python, Go

Native iOS and Android

Vue.js, ember.js

Mongo, Postgres, Redis

RabbitMQ

Jenkins, Docker, AWS, Google Cloud

Microservice architecture

Open source

Skills & requirements
MUST HAVES

2+ years of experience in a production machine learning environment: You can Define, Prototype, Develop, Deploy, and Monitor ML Models

4+ yrs of experience in software engineering, building and maintaining APIs and production level systems

Professional command of Python (Numpy, Scipy, Pandas, Scikit-learn)

M.Sc. or Ph.D. in computer science, engineering, statistics, computational linguistics, or other quantitative field or relevant equivalent professional experience

NICE TO HAVES

Work experience in Healthcare

Hands-on experience with natural language processing libraries including (not limited to) SpaCy, GloVe, …

Experience with high performance and distributed computing (Apache Spark or Apache Arrow).

Experience working in a fast-paced startup environment: You take responsibility for your projects and pride in your work.

Experience with neural networks for natural language processing

Experience dealing with health system partners data (e.g. EHRs, CCDA, FHIR, HIEs, ADT feeds and claims/pre-auth feeds)

Experience in using Tensorflow and Keras in production

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via https://Jobhunt.ai
(Companies love to know recruiting strategies that work)
 

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