Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess a proven track record working with distributed compute systems such as Spark or Ray, running on cloud providers like AWS or GCP, and a thorough understanding of engineering best practices including testing paradigms, peer code reviews, and resilient architecture. Experience with extremely large datasets of high-dimensional data and a strong understanding of standard machine learning techniques, algorithms, and tuning methods are also required.
As a Senior Machine Learning Engineer, you will build scalable and resilient systems for training and evaluating machine learning models, apply machine learning knowledge to automate research workflows, produceize research projects by optimizing code and systems for performance, employ and evolve existing CrowdStrike tools for detecting cyber assaults, automate and visualize analyses, and own the end-to-end development, testing, deployment, and monitoring of machine learning solutions.
Cloud-native endpoint security solutions provider
CrowdStrike specializes in cybersecurity, focusing on protecting businesses from cyber threats through cloud-native endpoint security solutions. Their main product, the Falcon platform, includes services like Falcon Pro, which replaces traditional antivirus with next-generation antivirus that integrates threat intelligence, Falcon Insight for endpoint detection and response, and Falcon Device Control to manage connected devices. Unlike many competitors, CrowdStrike's services are subscription-based, allowing clients to choose different levels of protection based on their needs. The company serves a diverse clientele, including many Fortune 100 companies, and is recognized as a leader in the cybersecurity field, known for its effectiveness in threat detection and response.