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Sr. Applied Research Scientist, Graph Learning

location icon Sunnyvale, California
Full Time

This role will require you to be onsite 5 days a week in our Sunnyvale office.

About the Team:

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. 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. 

About the Role:

As an Applied Research Scientist, you will be applying innovative data science and graph learning algorithms to generate insights from large-scale computer networks to solve cybersecurity issues faced by businesses of all scales. Your contributions will encompass developing advanced machine learning algorithms that would impact our customers directly. To excel in this role, you must possess competent knowledge of deep learning, graph representation learning and building pretrained embeddings models.  

Key Responsibilities:

  • Utilize the state-of-the-art Graph Learning algorithms to generate important insights for users to enforce policy 

  • Pretrain graph models and generate embedding representations for multi-label predictions 

  • Leverage embeddings for downstream tasks on dynamic temporal graph structures 

  • Devise and run experiments to measure model performance on large-scale data 

  • Proactively contribute to a new team and product domain, offering strategic insight into state-of-the-art machine learning techniques that can shape the roadmap and vision for the product 


  • Bachelor's in computer science or equivalent degree. Master's degree a plus

  • 2+ years of relevant experience

  • Proficiency in 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 

  • Building 0->1 ML products, transitioning initial prototypes to production-ready large-scale machine learning models 

  • 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:

$178,000 USD - $205,000 USD

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.


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-KD1 #LI-ONSITE

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Publication date: 2024-04-04
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