AI/ML Architect, Balbix
San Jose, CA
Predictive AI cyber security
Job no longer available
Predictive AI cyber security
101-200 employees
Job no longer available
San Jose, CA
101-200 employees
Company mission
To enable organizations to automate their cybersecurity posture and reduce their breach risk.
Role
Who you are
- 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
- A Ph.D. in Computer Science and Engineering or related field
- 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems
- Foundational knowledge of probability, statistics and linear algebra
- Expertise in state-of-the-art AI algorithms such as deep-learning, NLP, probabilistic graphical models, graphical algorithms, reinforcement learning and time-series analysis
- Knowledge of statistical analysis and modeling techniques, and model explainability
What the job involves
- 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
Our take
With high profile cyber attacks continuing to make headlines with increasing impact and frequency, global cybersecurity spending has skyrocketed over recent years to approach the trillion-dollar mark. The appetite for manageable, effective security systems has never been greater. Balbix is answering this by helping organizations continuously assess and improve their cybersecurity vulnerabilities using advanced AI, and swap out a risky reactive approach for a safer predictive one.
Part of its unique response is to leverage the appeal of gamified procedures to reduce the risk of attacks brought about by the error of individual employees. It is a novel approach, and Balbix is pioneering it in a way that is likely to win attention in a busy market. Balbix services big-name clients like SalesForce, and has won many industry accolades.
With its differentiated AI-powered approach to cybersecurity posture automation and excellent reference customer deployments, Balbix is very well poised to continue leading in the cybersecurity market.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Mar 2022
$70m
SERIES C
Jun 2018
$17.8m
SERIES B
Total funding: $115.4m
Company benefits
- Dental and Vision cover
- Life insurance
- Long-term disability coverage
- Flexible time off
- Work from home opportunities
- Health insurance
Company values
- Velocity
- Enterprising
- Lean
- Ownership
- Customer focus
- Innovation + integrity
- Tenacity
Company HQ
West Valley, San Jose, CA
Articles
Leadership
Gaurav Banga
(CEO)Co-founder and former CEO at Bromium. Former CTO at Phoenix technologies Ltd. Phd in Computer Science at Rice University.
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