Software Engineering • Senior

Who you are

You have 5+ years of experience in software engineering, with a strong focus on building scalable systems and applications. Your background includes working with AI and machine learning technologies, and you are comfortable collaborating with diverse teams to solve complex technical challenges. You are passionate about open-source contributions and have a solid understanding of the AI/ML ecosystem. Your expertise in Python and familiarity with various AI/ML frameworks make you a valuable asset to any team. You thrive in environments that encourage innovation and collaboration, and you are eager to share your knowledge with others.

Desirable

Experience with AIOps and familiarity with the latest advancements in AI/ML tooling are highly desirable. You may also have a background in contributing to open-source projects, showcasing your commitment to the community and your ability to work collaboratively with others in the field.

What you'll do

As a Senior Software Engineer on the AI OSS Ecosystem Team, you will design and implement platform capabilities that support the AI/ML development lifecycle, including training, evaluation, deployment, monitoring, and management of models and agents. You will collaborate with the AI/ML community globally to advance the state-of-the-art in AIOps, ensuring that the latest tooling advancements are available to Databricks’ customers. Your role will involve integrating various frameworks within the AI/ML ecosystem, allowing users to effectively train and deploy their models at scale. You will also be responsible for maintaining the open-source platforms, ensuring they meet the needs of users and contribute to the overall growth of the AI/ML community.

What we offer

At Databricks, you will be part of a team that is dedicated to solving the world's toughest problems through data and AI. We offer a collaborative work environment where your contributions will have a direct impact on our customers and the industry. You will have opportunities for professional growth and development, as well as the chance to work on cutting-edge technologies that are shaping the future of AI and machine learning. We value diversity and encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to empower data teams and make a difference in the world.