- Utilize the state-of-the-art Graph Learning algorithms to generate important insights for users to enforce policy
- Build deep learning models and leverage graph embedding representations downstream tasks Auto-labelling, policy recommendation and anomaly detection
- Devise and run experiments to measure model performance on large-scale data
Skills and Qualifications:
- Familiar with modeling graph data and leveraging GNNs/Graph Transformers to generate embeddings
- Fine-tuning on downstream tasks like recommendations and anomaly detection
- Comprehensive grasp on machine learning fundamentals and deep learning algorithms
- Production-ready model building experience with PyTorch, PyG, DGL or other graph learning frameworks
About Illumio:
Illumio, the pioneer and market leader of Zero Trust segmentation, prevents breaches from becoming cyber disasters. Illumio protects critical applications and valuable digital assets with proven segmentation technology purpose-built for the Zero Trust security model. Illumio ransomware mitigation and segmentation solutions see risk, isolate attacks, and secure data
across cloud-native apps, hybrid and multi-clouds, data centers, and endpoints, enabling the world's leading organizations to strengthen their cyber resiliency and reduce risk. Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging.
Pay Range:$35 - $45 per hour
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, location, experience, knowledge, skills, abilities, as well as internal equity, alignment with market data, or applicable laws.
Benefits:
At Illumio we offer a wide range of benefits to our eligible team members. Our benefit programs vary by location and can include Medical, Dental, Vision Coverage – Health and Dependent Savings Accounts – Life and Disability Programs – Paid Parental Leave – Voluntary Benefit Programs – Company Sponsored Wellness Program – Wellness Reimbursement Program - Retirement Savings – Equity Opportunities – Paid time off and Paid Holidays – Employee Incentive Program. #LI-HYBRID
Illumio focuses on Enterprise Software, Security, Data Centers, Software, and Cyber Security. Their company has offices in Sunnyvale. They have a large team that's between employees. To date, Illumio has raised $457.5M of funding; their latest round was closed on February 2019.
You can view their website at or find them on Twitter, Facebook, and LinkedIn.
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Engineering Intern, Machine Learning - Sunnyvale, United States - Illumio
Description
On-site work model with 3 days in office/week in Sunnyvale, CA for the summer of 2024. As a Machine Learning Engineer, you will be working on the full lifecycle of data science and graph learning algorithms to solve cybersecurity issues faced by businesses of all scales. Your contributions will encompass developing and optimizing pipelines for machine learning algorithms in training and production. To excel in this role, you must possess competent knowledge of building data transformation pipelines, deep learning to support downstream tasks.About the Team:Engineering Intern, Machine Learning (Core ML)
About the Role:
Illumio's new Machine Learning (ML) team embodies a culture of thought leadership, independence, and responsibility, holding a significant and highly visible role within our Engineering division. This dynamic team is tasked with developing state-of-the-art ML solutions for complex cybersecurity challenges. You will be working in an innovative team that is shaping Illumio's strategic direction and reinforces its leadership in Zero Trust Segmentation. In a world facing some of the greatest cybersecurity threats in history, the impact of our ML team is profound and far-reaching.We're looking for engineers who are ready to bring diverse perspectives, innovate relentlessly, and tackle challenging enterprise security issues head-on, leaving a significant mark in the cybersecurity landscape.Key Responsibilities: