Sumo Logic
Sumo Logic is a cloud-based machine data analytics company that offers a comprehensive platform for monitoring, troubleshooting, automating, and defending IT infrastructures. The company specializes in cloud security intelligence, leveraging AI and machine learning to provide enhanced observability and security threat detection. It is known for its powerful log management capabilities, which help organizations unlock cloud security and efficiently troubleshoot system issues. Sumo Logic's platform integrates seamlessly with cloud services, providing infrastructure monitoring and application observability to modernize IT operations. Their solutions are tailored to various use cases, including DevSecOps, cloud migration, and digital customer experience enhancement.
Log Management • Analytics • SaaS • Big Data • Machine Data
Senior Software Engineer - ML Engineer
January 22
Sumo Logic
Sumo Logic is a cloud-based machine data analytics company that offers a comprehensive platform for monitoring, troubleshooting, automating, and defending IT infrastructures. The company specializes in cloud security intelligence, leveraging AI and machine learning to provide enhanced observability and security threat detection. It is known for its powerful log management capabilities, which help organizations unlock cloud security and efficiently troubleshoot system issues. Sumo Logic's platform integrates seamlessly with cloud services, providing infrastructure monitoring and application observability to modernize IT operations. Their solutions are tailored to various use cases, including DevSecOps, cloud migration, and digital customer experience enhancement.
Log Management • Analytics • SaaS • Big Data • Machine Data
📋 Description
• The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. • As a Machine Learning Engineer at Sumo Logic, you will actively contribute in the design and development of innovative ML-powered product capabilities to help our customers make sense of their huge amounts of log data. • This involves working through the entire feature lifecycle including ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, and operations. • Responsibilities include identifying and validating opportunities for the application of ML or data-driven techniques, assessing requirements for large-scale data and ML platform components, and collaborating within and beyond the team to identify problems and deliver solutions.
🎯 Requirements
• B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline • 4+ years of industry experience with a proven track record of ownership and delivery • Experience formulating use cases as ML problems and putting ML models into production • Solid grounding in core ML concepts and basic statistics • Experience with software engineering of production-grade services in cloud environments handling data at large scale
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