Staff Software Engineer – Machine Learning

At SolarWinds, we’re reimagining how enterprises monitor, manage, and secure complex IT environments. We’re seeking a Staff Software Engineer – Machine Learning to join our Platform Machine Learning team. In this role, you will provide technical leadership in designing, developing, and deploying scalable ML systems that power next-generation observability solutions.

What You’ll Do

• Lead the end-to-end ML lifecycle—from data preprocessing and analysis of telemetry data to algorithm design, model training, optimization, and production deployment.
• Drive architectural decisions and provide technical guidance for large-scale ML systems.
• Collaborate with cross-functional engineering teams and product managers to shape technical solutions aligned with business needs.
• Leverage Large Language Models (LLMs) with frameworks such as LangChain and Hugging Face to build advanced, agentic AI systems.
• Implement and enforce MLOps best practices, ensuring models are reliable, reproducible, and monitored in production.
• Design experiments, including A/B testing, to validate model performance.
• Mentor and support other engineers, fostering best practices across the ML engineering function.
• Explore and integrate modern ML approaches such as vector databases and Retrieval-Augmented Generation (RAG).
• Stay ahead of industry trends, applying emerging ML techniques to IT operations and observability.

What We’re Looking For

• Deep expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Demonstrated experience building and deploying ML systems at scale.
• Strong track record applying LLMs and modern AI frameworks in production settings.
• Proven ability to lead projects, make architectural decisions, and mentor engineers.
• Experience with MLOps, large-scale data pipelines, and production model lifecycle management.
• Familiarity with observability, IT operations, or infrastructure monitoring is a plus.