Staff Applied Research Scientist, Graph Learning, Core ML

1 week ago


Sunnyvale, California, United States Illumio Full time

About the Role:

We are seeking an Applied Research Scientist to join our Machine Learning team, where you will apply 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.

Key Responsibilities:

  • Utilize 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

About Illumio:

Illumio is a pioneer and market leader of Zero Trust segmentation, preventing breaches from becoming cyber disasters. Our segmentation technology is purpose-built for the Zero Trust security model, and we protect critical applications and valuable digital assets across cloud-native apps, hybrid and multi-clouds, data centers, and endpoints.

We believe 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.

Requirements:

  • Bachelor's in computer science or equivalent degree. Master's degree a plus
  • 8+ 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

Pay Range:

$200,000 USD - $240,000 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.

Benefits:

We offer a wide range of benefits to our eligible team members, including 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.



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