Machine Learning Engineer

XperiencOps Inc (XOPS) is at the forefront of revolutionizing IT operations for Global 2000 companies. As the first observability and runbook automation platform designed for the complete employee lifecycle, we're on a mission to bring autonomous IT to the world.

We're seeking a talented Machine Learning Engineer to join our team in the San Francisco Bay Area. This role offers an exciting opportunity to work on cutting-edge technology that's transforming how large enterprises manage their IT operations.

As a Machine Learning Engineer at XOPS, you'll be instrumental in developing and implementing advanced ML algorithms and models that power our autonomous IT solutions. You'll work closely with our engineering and product teams to create innovative features that enhance our platform's capabilities.

This position is perfect for someone who is passionate about applying machine learning to solve real-world problems in IT operations. You'll have the chance to work with large datasets, develop predictive models, and contribute to the evolution of our AI-driven platform.

Join us in our mission to revolutionize IT operations and make a significant impact in the industry. At XOPS, you'll be part of a dynamic team that values innovation, collaboration, and continuous learning. If you're ready to take on challenging problems and help shape the future of autonomous IT, we want to hear from you!

Note: This role is based in our Pleasanton, California office, offering an on-site work environment that fosters collaboration and innovation.