Senior Software Engineer – Machine Learning

At SolarWinds, we’re reimagining how enterprises monitor, manage, and secure complex IT environments. We’re seeking a Senior Software Engineer – Machine Learning to join our Platform Machine Learning team. In this role, you will design, build, and deploy ML systems that deliver intelligent insights for our observability platform.

What You’ll Do

• Contribute to the full ML lifecycle—from preprocessing telemetry data and experimenting with algorithms to training, optimization, and deploying models into production.
• Work closely with cross-functional engineering teams and product managers to translate requirements into ML-driven solutions.
• Develop and fine-tune ML models using TensorFlow, PyTorch, and scikit-learn.
• Apply Large Language Models (LLMs) with frameworks like LangChain or Hugging Face to build practical AI-driven systems.
• Implement MLOps practices, ensuring smooth model training, deployment, and monitoring in production.
• Maintain and scale data pipelines, integrate vector databases, and support Retrieval-Augmented Generation (RAG) use cases.
• Run A/B testing and experiments to validate models and optimize performance.
• Stay updated on new ML techniques relevant to IT operations and observability.

What We’re Looking For

• Strong programming expertise in Python with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience building and deploying ML models in production environments.
• Exposure to LLM-based applications and familiarity with frameworks such as LangChain or Hugging Face.
• Experience with data processing, model lifecycle management, and MLOps practices.
• Strong analytical skills, problem-solving mindset, and eagerness to grow in ML system design.
• Familiarity with observability, IT operations, or infrastructure monitoring is a plus.