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Home›Jobs›Balbix›Staff AI Engineer
Balbix

About Balbix

AI-driven cybersecurity for proactive threat management

🏢 Tech👥 101-200 employees📅 Founded 2015📍 West Valley, San Jose, CA💰 $118.6m⭐ 4.3
B2BArtificial IntelligenceEnterpriseSaaSCyber Security

Key Highlights

  • $118.6M raised in Series B funding
  • Serves high-profile clients like Salesforce
  • Headquartered in West Valley, San Jose, CA
  • 101-200 employees with a focus on AI and SaaS

Balbix, headquartered in West Valley, San Jose, CA, is a pioneering company in AI-driven cybersecurity, helping organizations automate their cybersecurity posture and significantly reduce breach risks. With $118.6 million raised in Series B funding, Balbix serves high-profile clients like Salesforce...

🎁 Benefits

Balbix offers flexible work-from-home opportunities, comprehensive health insurance, life insurance, dental and vision coverage, long-term disability ...

🌟 Culture

Balbix fosters a unique culture focused on proactive cybersecurity measures through gamification, encouraging employee engagement and reducing human e...

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Balbix

Staff AI Engineer

Balbix • Delhi NCR

Posted 1 year ago🏛️ On-SiteLeadAi engineer📍 Delhi ncr
Apply Now →

Job Description

ABOUT THIS ROLE
As a Staff AI Engineer you will get to play with petabyte data gathered from a multitude of data sources including Balbix proprietary sensors and 3rd party threat feeds. You will leverage a variety of AI techniques including deep learning, probabilistic graphical models, graph learning, recommendation systems, reinforcement learning, NLP, etc. And of course, you will be part of a team building a world-class product addressing one of the grand challenges in the technology industry. 

DATA SCIENCE AT BALBIX
At Balbix we believe in using the right algorithms and tools to ensure correctness, performance and deliver an excellent user experience. We draw boldly from the latest in AI/ML research but are unafraid to go beyond bayesian inference and statistical models if the situation demands it. We are generalists, caring as much about storytelling with data, as about bleeding edge techniques, scalable model training and deployment. 

We are building a data science culture with equal emphasis on knowing our data, grokking security first principles, caring about customer needs, explaining our model predictions, deploying at scale, communicating our work, and adapting the latest advances. 

We look out for each other, enjoy each others’ company, and keep an open channel of communication about all things data and non-data. 

Interested in this role?

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