Staff Engineer - Machine Learning/Data Scientist

Cohesity

San Jose, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/17/2021
  • Website: cohesity.com
  • Company Address: 300 Park Ave, Suite 800, San Jose, CA, 95110

About Cohesity

We believe that simplicity is the foundation of modern data management. Our mission is to radically simplify how organizations manage their data and unlock limitless value.

Job Description

Cohesity eliminates mass data fragmentation with one web-scale  data management platform that radically simplifies the way companies protect, control and extract value from their data. This software-defined platform spans across Clouds and data centers, can be managed from a single GUI, and enables independent apps to run in the same environment. 

"We use web-scale design principles to revolutionize an area of IT that hasn’t seen innovation in decades" by Mohit Aron, CEO/Founder

Press Release  Cohesity announces Partnership with AWS

DMaaS  DMaaS Modern Data Management- At Your Service

Short Video How Cohesity Redefines Data Management 


About This Role:

At Cohesity, we are building the next generation data management and analytics platform as a service, a first of its kind in the industry. This builds upon the unique tech stack Cohesity is known for. Join us and be a part of this big company initiative, and help make the first release.  This is an amazing opportunity for a hands-on leader who can not only define but also lead and implement technical projects.

With the vision of revolutionizing data management, we have built platforms to collect huge volumes of user/machine generated data to power a variety of use cases. In this role, you will be responsible for proposing new hypotheses, designing experiments, building machine learning models, productionizing models at scale and be the subject matter expert and consult and guide company wide data/machine learning efforts.

Responsibilities:

  • Tech lead responsibility - own and drive initiatives
  • Establish best practices around productionizing ML based applications and drive/own technical strategy
  • Work with product management to understand customer pain points and translate them to data driven experiments and solutions
  • Work with functional leads to understand areas where machine learning and model based approaches can help and drive synergies.
  • Mentor junior ML (machine learning) engineers 

What we are looking for:

  • MS/PhD in Computer Science/Information Science
  • 5+ years experience
  • Hands-on machine learning experience (supervised/unsupervised)
  • Experience with Spark is a plus  
  • Experience with deep learning is a plus
  • Good coding skills (in one or more - python/scala/go)
  • Experience with Cloud based ML platforms is a plus
  • Knowledge of storage, filesystems, data protection are nice to have
  • Experience with NLP is nice to have
  • Experience with Sagemaker/MLflow/Kubeflow is a plus
  • Opening is for mid-senior level engineers who can take the lead and be hands-on building and productionizing ml based applications.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.