Applied Scientist

Microsoft • Redmond, WA

5h

About The Position

Microsoft Defender for Endpoint (MDE) is a product for preventative protection, post-breach detection, automated investigation, and response. Our team, the core machine learning and data science team, is looking to hire an Applied Scientist. We are a cross-discipline team responsible for building ML, LLM, and automation solutions that defend over a billion end users and enterprises from cybersecurity attacks through Microsoft Defender AntiVirus, Microsoft Defender Endpoint Detection and Response, and Network Protection products. We are a mix of machine learning engineers, data scientists, data engineers, and security researchers who develop big data pipelines, run experiments, and deploy our protection to production to protect customers at scale.

Requirements

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Nice To Haves

• 1+ years of experience working on bringing machine learning pipelines to production systems.
• 1+ years of experience developing large-scale data pipelines, utilizing either distributed data processing frameworks (e.g., Apache Spark, Hadoop), real-time data streaming platforms (e.g., Kafka), or query languages like SQL and KQL.
• 1+ years of experience with Large Language Models (LLMs).
• 1+ years of experience with classical machine learning application (eg Logistic Regression, LightGBM, XGBoost, etc) or custom deep-learning approaches using PyTorch or similar technology.
• Cybersecurity experience.
• 1+ years of experience developing on at least one cloud platform (e.g., Azure, AWS, GCP).
• 1+ years of experience in MLOps, including model deployment, monitoring, version control, and continuous integration/continuous delivery (CI/CD) pipelines for machine learning projects, using tools such as Azure Machine Learning, MLflow, Kubeflow, TensorFlow Serving, or similar.

Responsibilities

• Design, develop, and maintain the machine learning platform that powers cybersecurity protection machine learning models in our products and services.
• Collaborate with others to identify opportunities to optimize data tools used to transform, manage, and access data across teams. Ensures the effectiveness and placement of performance monitoring protocols across multiple data pipelines.
• Experiment with and apply large language models and agentic systems to protect our customers and improve our internal systems.
• Propose, design, experiment, and implement machine learning designs to protect our customers.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level