The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data.As aStaff Software Engineer - Machine Learning,you will actively contribute and lead in the design and development of innovative ML-powered product capabilities. This team collaborates closely with other Product Development teams and works through the entire feature lifecycle including ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, and operations.Responsibilities:Identifying and validating opportunities for the application of ML or data-driven techniquesDriving technical delivery through the full feature lifecycle, from idea to production and operationsCollaborating within and beyond the team to identify problems and deliver solutions Assessing requirements and approaches for large-scale data and ML platform componentsCollaborating with UX/UI teammates on the usability of product featuresOwning the uptime and reliability of delivered services and capabilities, including on-call rotationDeveloping supporting tooling, automation, and microservices to accelerate the teamRequirements:B.S. / M.S. / Ph.D. in Computer Science or related disciplines6-8+ years of industry experience with a proven track record of ownership and deliveryExcellent collaboration and communication skillsExperience with software engineering of production-grade services in cloud environmentsExperience formulating use cases as ML problems and putting ML models into productionKnowledge of and/or curiosity to learn about specific Sumo Logic customer problem domainsOperational excellence orientation: SLIs/SLOs, monitoring and troubleshooting, on-call rotationsSolid grounding in core ML concepts, basic statistics, and the judicious use of abstractionDesirable:Cloud-based application and infrastructure deployment and managementCommon ML libraries (eg, scikit-learn, PyTorch) and components (eg, Airflow, MLFlow)Relevant cloud provider services (eg, AWS Sagemaker)LLM core concepts, libraries, and application design patternsAbout UsSumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com .Sumo Logic Privacy Policy The expected annual base salary range for this position is$190,000 - $235,000 + 15% bonus.In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, and equity awards. Compensation varies based on a variety of factors which include (but aren't limited to) role level, skills and competencies, qualifications, knowledge, location, and experience. Other detailsHealth, Dental, Vision- Insurance401k and Life Insurance optionsUnlimited PTO with 15+ days of recognized holidaysQuarterly Wellness days100% remote with the option to be in the office if you want (Bay Area, Austin, Denver, NYC)3 months of paid parental leave#LI-DNI
