First, let's talk about you!

You will take part in:

• Explore, build, and deploy cutting-edge AI and machine learning models to drive innovation in our product.
• Clean, enrich, and optimize datasets for machine learning purposes, ensuring data quality and suitability.
• Collaborate with cross-functional teams to develop and implement AI solutions and language models.
• Utilize advanced mathematical, statistical, and machine learning methods to uncover valuable insights from large datasets.
• Leverage AI techniques to automate code generation, improving efficiency and accuracy.
• Enhance our Root cause Analysis system for better performance.
  
  

So if you Have:

• An open-minded and flexible mindset with a strong ability to execute ideas that provide significant business value.
• A combination of research-oriented thinking and a results-driven approach.
• An advanced degree in Mathematics, Statistics, or an equivalent field.
• Demonstrated experience with Python or R (at least 3 years of experience).
• Experience in maturing concepts and algorithms into production-level code.
• Familiarity (or ideally, experience) with cloud and cyber security concepts..
  
  

Now, what is Dazz? At Dazz, we're changing cloud security for the better. In an industry where virtually all of the innovation has been in finding security issues in the software development pipeline, we're focused on fixing them and reducing risk within the cloud. The Dazz Remediation Cloud takes aim at the single biggest problem in cloud security with a three-step process: We discover and visualize our customers’ code-to-production environment, reduce noise and find root causes and owners, and tee up a super dev-friendly fix that massively improves efficiency and builds trust between security and engineering teams. No small feat!

But we also realize it’s not just about what you can do for Dazz. We see your employment here as very much a two-way street. We want you to feel like you’re doing your best work, stretching yourself, learning new things, receiving relevant, timely feedback, and being given growth opportunities. We want Dazz to be a great place to be and a great place to be from, and that means making your experience here a transformative one.