Senior Machine Learning Engineer

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.

The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!

Staff Software Engineer – Machine Learning

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.

SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.

All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice