Remote Senior Machine Learning Engineer (Sydney, Australia) at Insight Timer Open Startup
RSS
API
Remote HealthPost a job

find a remote job
work from anywhere

The largest collection of Remote Jobs for Digital Nomads online. Get a remote job you can do anywhere at Remote Companies like Toptal, Zapier and Automattic who embrace the future. There are 43,500+ jobs that allow you to work anywhere and live everywhere.

The largest collection of Remote Jobs for Digital Nomads online. Get a remote job you can do anywhere at Remote Companies like Toptal, Zapier and Automattic who embrace the future. There are 43,500+ jobs that allow you to work anywhere and live everywhere.

Remote HealthPost a job

  Jobs

  People

👉 Hiring for a remote position?

Post a job
on the 🏆 #1 remote jobs board

trusted by

Remote Health by SafetyWing
Global health insurance for freelancers & remote workers
Remote Health by SafetyWing
Global health insurance for freelancers & remote workers

Insight Timer

 

Senior Machine Learning Engineer

closed

Senior Machine Learning Engineer  


Insight Timer


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe are the world's largest meditation community of 18 million people, from 120 countries speaking 50+ languages. We publish 60,000 free guided meditations and music tracks by 8,000 meditation teachers and musicians from around the world.\nWe have been featured by TIME, Forbes, The New York Times and Vogue, and our apps have picked up the Editors Choice award by Google, and App of the Day by Apple on multiple occasions throughout the world.\nThe Role\nMore time is spent on Insight Timer than all other meditation apps combined. Data is one of our key competitive advantages as we have more variety and more depth than any other meditation app. This is a unique opportunity to be an integral part of building the nascent Data Science function at Insight Timer. We are hiring Machine Learning engineers, Data Scientists, Data Engineers and Research Scientists who are passionate about using data, ML and AI to better understand users and to offer new products and experiences that can help improve their lives.\nAs a Senior Machine Learning Engineer you will be owning our entire ML pipeline from ideation to final implementation via countless iterations and improvements. You will have the opportunity to develop a cutting-edge recommendation engine using deep neural networks and modern wide-and-deep recommendation frameworks. You will be supported by Data Engineers, Feature Engineers, and Data Scientists to ensure that your models are powered with high-impact, quick data.\nThe team includes ex-Google and ex-Atlassian employees and is advised by the former Head of Data Science at LinkedIn. You will work cross functionally and collaborate with Engineers, Data Scientists and Product Managers to bring your insights and ideas to life.\nWhat youll do:\n * Implement cutting-edge ML technology to create the best recommendation system in the wellbeing/meditation space\n * Scope, design, create, deploy and tune ML models to improve key metrics that drive business value\n * Work closely with our Data Scientists to incorporate new features and insights that may improve our ML models\n * Own the end-to-end data pipeline with support from our data engineers and feature engineers to ensure seamless integration between our datasets, our ML models and the end-user APIs\n \n\n\nBenefits\n\nOur team is a global bunch of conscious creators who are passionate about building products that make a difference. Like most of the world, we've transitioned to working from home and were working hard to keep our team connected. We host team meditations, focus on our wellbeing, incorporate flexibility into our work week and celebrate our successes along the way. If your application matches what we are looking for we will be in touch.


See more jobs at Insight Timer

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.