Staff AI Engineer

About the job

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. You will: • Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment • Design and implement algorithms for statistical modeling of enterprise cybersecurity risk • Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation. • Build production quality solutions that balance complexity and performance • Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams • Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and Scikit-Learn You have: • A Ph.D./M.S. in Computer Science or Electrical Engineering with hands-on software engineering experience • 5+ years of experience in the field of Machine Learning and programming in Python. • Expertise in programming concepts and building large scale systems. • Knowledge of state-of-the-art algorithms combined with expertise in statistical analysis and modeling.

Requirements

• Python
• Machine Learning
• Deep Learning
• Probabilistic Graphical Models
• NLP

Qualifications

• Ph.D./M.S. in Computer Science or Electrical Engineering

Preferred Technologies

• Python
• Machine Learning
• Deep Learning
• Probabilistic Graphical Models
• NLP