Sr. Manager, Applied ML For Systems

Who you are

You have a strong background in machine learning and optimization algorithms, with at least 5 years of experience leading teams in a technical environment. Your expertise allows you to apply advanced ML techniques to improve system performance and efficiency, particularly in infrastructure settings. You are skilled in managing high-performing teams, fostering talent development, and aligning technical strategies with business goals. Your leadership style encourages collaboration and innovation, ensuring that your team tackles the most impactful challenges effectively.

You possess a deep understanding of the complexities involved in managing large-scale systems, including cluster management, job scheduling, and resource optimization for deep learning workloads. Your experience enables you to navigate technical challenges and drive initiatives that enhance the performance of data infrastructure. You are passionate about leveraging data insights to solve real-world problems and improve customer outcomes.

Desirable

Experience with large language models and GPU resource optimization is a plus, as is familiarity with cloud-based infrastructure and data processing frameworks. You are comfortable working in a fast-paced environment and can adapt to changing priorities while maintaining a focus on delivering high-quality results.

What you'll do

As the Senior Manager for Applied ML For Systems at Databricks, you will set the vision and strategy for ML-for-Systems initiatives, ensuring alignment with product and infrastructure priorities. You will lead a team of machine learning engineers, guiding them in applying ML and optimization algorithms to enhance the efficiency and performance of Databricks’ infrastructure. Your role will involve tackling complex problems related to cluster management, job scheduling, and query compilation, making significant contributions to the overall performance and cost-efficiency of the company's products.

You will be responsible for shaping the technical direction of your team, driving initiatives that help customers run optimized workloads at scale. This high-visibility role requires you to collaborate closely with cross-functional teams, including product management and engineering, to ensure that your team's work aligns with broader company goals. You will also focus on talent development, mentoring team members, and fostering a culture of innovation and excellence.

What we offer

At Databricks, you will be part of a dynamic team that is dedicated to solving some of the toughest challenges in data and AI infrastructure. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a collaborative environment that values diversity and encourages creative problem-solving. Join us in our mission to empower data teams and drive impactful solutions for our customers.