Staff Machine Learning Engineer

Who you are

You have a strong background in machine learning and software engineering, with at least 5 years of experience in designing and deploying ML systems. Your expertise in Python and familiarity with frameworks like TensorFlow and Keras enable you to build robust models that can handle complex data sets. You thrive in collaborative environments, working closely with cross-functional teams to drive innovation and improve product offerings. Your ability to analyze telemetry data and optimize algorithms is complemented by your strong problem-solving skills and attention to detail. You are passionate about leveraging technology to create impactful solutions and are eager to take on leadership responsibilities in your next role.

Desirable

Experience with cloud platforms such as AWS or Azure is a plus, as is familiarity with data preprocessing techniques and the end-to-end ML lifecycle. You understand the importance of data quality and have a keen interest in staying updated with the latest advancements in machine learning and AI technologies. Your leadership skills will help guide junior engineers and foster a culture of learning and growth within the team.

What you'll do

In this role, you will lead the end-to-end machine learning lifecycle, from data preprocessing and analysis to algorithm design, model training, optimization, and production deployment. You will drive architectural decisions for large-scale ML systems, ensuring they are scalable and efficient. Collaborating with product managers and engineering teams, you will shape the direction of our observability solutions, ensuring they meet customer needs and industry standards. Your technical leadership will be crucial in mentoring junior engineers and fostering a collaborative team environment. You will also be responsible for conducting experiments to validate model performance and iterating on designs based on feedback and results.

What we offer

At SolarWinds, we prioritize a people-first culture that values collaboration, accountability, and empathy. You will have the opportunity to work with a talented team dedicated to innovation and excellence. We offer competitive compensation and benefits, along with opportunities for professional development and career growth. Join us in our mission to help customers accelerate business transformation with powerful and secure solutions. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.