Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning and data analysis, with a strong background in building and deploying ML models that enhance user experience and engagement. You are skilled in feature engineering and understand the intricacies of model observability and performance metrics. Your expertise allows you to work end-to-end across the ML stack, ensuring that models not only perform well but also align with business objectives.

You thrive in collaborative environments, partnering closely with product, infrastructure, and design teams to create impactful solutions. You possess excellent problem-solving skills and can communicate complex technical concepts to non-technical stakeholders effectively. You are passionate about leveraging data to drive decisions and improve user experiences, and you are always eager to learn and adapt to new technologies and methodologies.

What you'll do

As a Senior Staff Machine Learning Engineer at Patreon, you will lead the development of the intelligence layer that powers discovery and personalization across the platform. You will be responsible for designing and implementing ML-driven systems that enhance search, recommendations, and notifications, helping millions of fans connect with creators. Your role will involve conducting data analysis to inform feature engineering and model training, ensuring that the models you develop are robust and scalable.

You will collaborate with cross-functional teams to define project goals and deliverables, and you will mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and innovation. You will also be involved in the deployment of models into production, monitoring their performance, and making necessary adjustments to optimize their effectiveness. Your contributions will directly impact the way creators engage with their audiences and help shape the future of the creator economy.

What we offer

Patreon offers a competitive salary and benefits package, including flexible work arrangements that allow you to balance your professional and personal life. You will be part of a mission-driven company that is dedicated to supporting creators and their communities. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.