Staff AI Engineer Jobs

Staff AI Engineer

Balbix

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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 ScikitLearn

Requirements:

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
Robust understanding of NLP, Probabilistic Graphical Models, Deep Learning with graphs structures, model explainability, etc.
Foundational knowledge of probability, statistics and linear algebra

Nice to have:

Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution
Product-focused and passionate about building truly usable systems
Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps
Responsible and like to take ownership of challenging problems
A good communicator, and facilitate teamwork via good documentation practices
Comfortable with ambiguity and thrive in designing algorithms for evolving needs
Intuitive in using the right type of models to address different product needs
Curious about the world and your profession, constant learner

Additional Information:

Job Posted:
December 23, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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