Analyze experimental data, communicate analysis results, and develop product improvements
Design, code, deploy, and support scalable machine learning pipelines within a business context
Work closely with the team to scale and improve the performance of core machine learning systems and increase the team’s machine learning productivity
Full stack ownership of projects from design to implementation and deployment
Able to identify scalable & elegant solutions to complex problems that work at scale
Interest in working on machine learning systems; prior work or educational experience with machine learning is preferred
Experience with common machine learning techniques such as data pre-processing, feature engineering, and training/evaluation of classification and regression models
Experience with machine learning software packages (e.g. numpy/pandas, scikit-learn, TensorFlow)
Knowledge of OS internals, databases would be useful
Large distributed systems design and development experience is a bonus
ABOUT THE TEAM
Our team builds products to address Rubrik’s holistic ransomware response strategy. We make it easier and faster to recover from security attacks while providing greater intelligence on how an incident impacted enterprises’ global applications and data.
Our engineers are self-starters, driven and can manage themselves. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge you to do your best work. We encourage each engineer to try out new ideas. A lot of such ideas have become our products. All ideas, whether they are coming from newly graduated students or seasoned engineers, are all respected and valued the same way.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.