[2026] Senior Machine Learning Engineer, Recommendation Systems - PhD Early Career

Who you are

You hold a PhD in a relevant field and have early career experience in machine learning, particularly in recommendation systems. Your background includes a strong foundation in algorithms and data structures, and you are comfortable working with large datasets to derive insights and build models. You have hands-on experience with Python and are familiar with libraries such as TensorFlow or PyTorch, which you have used to implement machine learning solutions. You are passionate about applying cutting-edge research to real-world problems and have a keen interest in user experience and engagement metrics.

You thrive in collaborative environments and enjoy working with cross-functional teams, including engineers and product managers, to deliver impactful solutions. Your communication skills allow you to articulate complex technical concepts to non-technical stakeholders effectively. You are driven by the mission to enhance user experiences and are excited about the potential of machine learning to transform how users interact with digital content.

Desirable

Experience with deep learning frameworks and reinforcement learning techniques is a plus. Familiarity with generative AI concepts will help you contribute to innovative projects at Roblox. You are also encouraged to bring any experience with A/B testing and data analysis to the table, as these skills will be valuable in optimizing recommendation algorithms.

What you'll do

In this role, you will design and implement algorithms that power recommendation systems for millions of users on the Roblox platform. You will tackle high-scale ranking, retrieval, and personalization challenges, ensuring that users discover engaging content tailored to their preferences. Your work will directly influence user retention and monetization strategies, making your contributions critical to the company's success.

You will collaborate closely with data scientists and engineers to bridge the gap between research and production, ensuring that your models are not only innovative but also scalable and efficient. You will engage in rigorous experimentation, utilizing A/B testing to validate your hypotheses and refine your algorithms based on user feedback and engagement metrics.

As part of a dynamic team, you will stay updated on the latest advancements in machine learning and AI, applying these insights to enhance the capabilities of Roblox's recommendation systems. You will also have the opportunity to mentor junior team members, sharing your knowledge and fostering a culture of learning and innovation.

What we offer

Roblox provides a unique opportunity to work at the intersection of technology and creativity, where your contributions will shape the future of user interaction in immersive digital experiences. You will be part of a mission-driven company that values optimism and civility, and you will have the chance to make a meaningful impact on a global scale.

We offer competitive compensation and benefits, including opportunities for professional development and growth within the organization. You will work in a collaborative and inclusive environment that encourages innovation and values diverse perspectives. Join us at Roblox and help redefine how people connect and engage in the digital world.