
About Us:
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback, challenges and opportunities
Accountable for results and best in class outcomes
Visionary in future focused problem-solving
Exceptional in execution and impact
Corporate Overview
Proofpoint is a leading cybersecurity company protectingorganisations’greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient againstcyber-attacks. Leadingorganisationsof all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. Thatiswhywe areleadersin next-generation cybersecurity.
TheRole
Proofpoint is looking for aSenior DataScientist to join ourMachine Learningteam.In this role,you'lldrive the evolution of our email threat detection engine, which protects some of the largest enterprises globally,from sophisticated email-based threats.
You will collaborate cross-functionallyand lead major initiatives end-to-end ensuring that we applystate-of-the-artmachine learning techniques toidentifyand solve the most impactful problems. You will also help promote machine learning best practices and encourageinnovative approachesto problem-solving within the team.
Key Responsibilities
Extract and derive actionable insights from massive volumes of unstructured email datasets using distributed computing tools (Spark, Iceberg, Athena) and AWS SageMaker
Engineer features that capture communication behaviors and patterns across billions of email records, translating domainexpertiseinto scalable feature pipelines
Fine-tune LLMs for domain-specific tasks (email topic detection, NER) and train neural network models from scratch on massive volumes of email data toidentifyanomalous patternsand behaviorsindicative of malicious threats
Apply classical machine learning techniques (e.g., boosting, bagging) to train models that classify large volumes of imbalanced datasets with low-latency inference
Deploy trained models to production using AWS SageMaker, directlyimpactingthe effectiveness of our core threat detection products
Partner with Product and Engineering teams toidentifyhigh-impact research areas and drive href="mailto:accessibility@proofpoint.com">accessibility@proofpoint.com.
How to Apply
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!