Machine Learning Engineer Intern, Illumio
Hourly pay rate: $ 47 USD. + Equity + Employee Incentive Program
More information about location
Office located in Sunnyvale, CA
Automated enforcement against cyberattacks
Be an early applicant
Automated enforcement against cyberattacks
501-1000 employees
Be an early applicant
Hourly pay rate: $ 47 USD. + Equity + Employee Incentive Program
More information about location
Office located in Sunnyvale, CA
501-1000 employees
Company mission
To enable every organization to realize a future without high-profile breaches.
Role
Who you are
- You hold a PhD in Computer Science, Machine Learning, or a related field—with deep expertise in areas like generative modeling, AI agents, reinforcement learning, or natural language processing (or have equivalent experience)
- Familiar with modeling graph data and leveraging GNNs/Graph Transformers to generate embeddings, efficient training, fine-tuning, and inference techniques
- Comprehensive grasp on machine learning fundamentals and deep learning algorithms
What the job involves
- This is a 12 week internship program beginning on May 27th 2025 or June 23rd 2025
- Illumio's 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
- Working directly with the leadership team, the team shapes Illumio's strategic direction and reinforces our 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 innovators and 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
- As a Machine Learning Engineer, you will be working on training algorithms on large scale data to solve cybersecurity issues faced by businesses of all scales
- Your contributions will encompass developing and optimizing open source state-of-the-art algorithms to detect and defend attack vectors Illumio’s Product and Engineering teams to help translate research advances into tangible benefits for our customers
- Study MITRE attack patterns and devise experiments to measure model performance on potential threat detection signals from large-scale data
- Evaluate and utilize state-of-the-art graph learning, reinforcement learning or deep learning algorithms to generate important insights for users to enforce policies
- Build end-to-end data and machine learning pipelines to support model training and inference
- Build deep learning models and leverage graph embedding representations downstream tasks labelling, policy recommendation and anomaly detection
Our take
Cybersecurity remains an ongoing battle, with evolving cyberthreats and ever-more determined cybercriminals, and major data breaches such as the SolarWinds hack have the potential to cause widespread disruption. Illumio is taking a different approach to most of the mainstream security companies, with a process called "microsegmentation". This makes it easier to guard companies from security breaches, and contain any breaches that occur.
Detection of viruses is no longer considered sufficient to keep companies and individuals safe. Illumio takes a “zero trust” approach, in which everything is viewed as suspicious, a similar approach to that which is used by the White House. The company operates at the cutting edge of microsegmentation, focusing on protecting cloud datacenters and workloads. With more and more companies moving to the cloud, this approach is crucial.
Illumio also protects endpoints, partnering with big players such as Citrix, Amazon Web Services, and Splunk. A collaboration with Appgate, a Zero Trust secure access company, delivers the industry's first integrated Zero Trust Network Access and Segmentation solution, which can reduce risk across hybrid infrastructure, and proves Illumio's dedication to innovating the space. Additionally, the company announced a Federal Risk and Authorization Management Program (FedRAMP), that is tailored to assist federal agencies in reducing risk.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$225m
SERIES F
Feb 2019
$65m
SERIES E
Total funding: $551.3m
Company benefits
- 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
Company values
- Seek Truth
- Run to challenges
- Bring your best
- Onwards Together
- Leverage differences
- Build trust
Company HQ
Sunnyvale, CA
Articles
Leadership
Andrew Rubin
(CEO)Started in Business Development, as an Analyst at VoiceNet Communications, and as a Director at VoiceNet. Worked at Cymtec Systems for over 8 years, promoted from VP of Sales to CEO. Seed Investor in Tory Burch, and Powermat. Current Strategic Advisor to Menlo Security, and Bolt.
PJ Kirner
(CTO)Studied Computer Science at Cornell. Worked as an Engineer Manager for over 6 years at Trilogy. Software Architect at Funkware for over 3 years. Was Principal Systems Engineer at Cluster File Systems. Distinguished Engineer for over 5 years at Juniper Networks. Was CTO of Cymtec Systems.
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