Staff Applied Research Scientist
Graph Learning, Core ML
Confirmed live in the last 24 hours
Illumio

501-1,000 employees

Business data center and cloud computing security
Company Overview
Illumio's mission is to enable every organization to realize a future without high-profile breaches. Illumio provides visibility, segmentation and control of all network communications across any data center, cloud and endpoint.
Fintech
Government & Public Sector
Energy

Company Stage

Series F

Total Funding

$557M

Founded

2013

Headquarters

Sunnyvale, California

Growth & Insights
Headcount

6 month growth

14%

1 year growth

13%

2 year growth

21%
Locations
Sunnyvale, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Pytorch
CategoriesNew
Lab & Research
Interdisciplinary Research
Physical Sciences
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
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