Machine Learning Engineer

6 days ago


Redwood City, California, United States Sumo Logic Full time
About the Role

We are seeking a highly skilled Staff Engineer - Machine Learning to join our team at Sumo Logic. As a key member of our organization, you will play a critical role in designing and developing innovative ML-powered product capabilities.

Key Responsibilities
  • Identify and Validate Opportunities: Recognize and validate opportunities for the application of machine learning or data-driven techniques to drive business growth and improvement.
  • Drive Technical Delivery: Lead the technical delivery of ML-powered product capabilities through the full feature lifecycle, from ideation to production and operations.
  • Collaborate with Cross-Functional Teams: Work closely with Product Development teams, UX/UI teammates, and other stakeholders to identify problems and deliver solutions.
  • Assess Requirements and Approaches: Evaluate requirements and approaches for large-scale data and ML platform components to ensure scalability and reliability.
  • Develop Supporting Tooling and Automation: Create supporting tooling, automation, and microservices to accelerate the team's ability to deliver high-quality products.
Requirements
  • Education and Experience: B.S. / M.S. / Ph.D. in Computer Science or related disciplines, with 8+ years of industry experience and a proven track record of ownership and delivery.
  • Collaboration and Communication Skills: Excellent collaboration and communication skills to work effectively with cross-functional teams.
  • Software Engineering Experience: Experience with software engineering of production-grade services in cloud environments.
  • Machine Learning Experience: Experience formulating use cases as ML problems and putting ML models into production.
  • Operational Excellence: Solid grounding in core ML concepts, basic statistics, and the judicious use of abstraction, with an operational excellence orientation.
Desirable Skills
  • Cloud-Based Application Deployment: Experience with cloud-based application and infrastructure deployment and management.
  • Machine Learning Libraries and Components: Familiarity with common ML libraries (e.g., scikit-learn, PyTorch) and components (e.g., Airflow, MLFlow).
  • Cloud Provider Services: Knowledge of relevant cloud provider services (e.g., AWS Sagemaker).
About Sumo Logic

Sumo Logic empowers the people who power modern, digital business. Our Sumo Logic SaaS Analytics Log Platform helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures.



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