Staff Software Engineer , Machine Learning (Search)

Who you are

You have a strong background in computer science, holding at least a BS degree, with a preference for an M.S. or PhD. With over 10 years of experience, you've developed search relevance systems at scale, demonstrating your ability to work in high-impact research or production environments. Your expertise in machine learning and natural language processing allows you to design and implement automated ML pipelines effectively.

You thrive in collaborative settings, working closely with product managers and cross-functional teams to drive technology-first initiatives. Your experience enables you to contribute to novel business strategies and product roadmaps, particularly in enhancing search and discovery experiences. You are passionate about building robust frameworks for evaluating search ranking improvements, both offline and online.

Desirable

Experience with large-scale data systems and familiarity with Databricks' products will be advantageous. You are comfortable with rapid experimentation and iteration, and you have a keen interest in advancing AI/ML-powered products. Your ability to communicate complex technical concepts to non-technical stakeholders will be a key asset in this role.

What you'll do

As a Staff Software Engineer at Databricks, you will lead the development and deployment of machine learning-based search and discovery relevance models. Your role will involve designing and implementing automated ML and NLP pipelines for data preprocessing, query understanding, ranking, and retrieval. You will enable rapid experimentation and iteration, ensuring that the search product evolves to meet customer needs effectively.

Collaboration is at the heart of this role. You will work closely with product managers and cross-functional teams to drive initiatives that enhance the search experience. Your contributions will help shape the technology roadmap, focusing on improving search ranking and query understanding. You will also be responsible for building a robust framework for evaluating search ranking improvements, ensuring that both offline and online evaluations are conducted effectively.

What we offer

At Databricks, you will be part of a dynamic team that is at the forefront of AI and machine learning innovation. We offer a collaborative work environment where your contributions will directly impact our customers' success. You will have the opportunity to work on cutting-edge technologies and be involved in projects that push the boundaries of what's possible in search and discovery.

We encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to advance AI/ML-powered products and make a significant impact in the industry.