Empowering data teams with unified analytics
Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...
Databricks • Bengaluru, India
Databricks is seeking a Senior Machine Learning Engineer to enhance their Search product by developing ML-based search and discovery relevance models. You'll work with technologies like Python and SQL to drive improvements in search quality. This role requires 6+ years of experience in search relevance systems.
You have a strong background in machine learning and natural language processing, with over 6 years of experience developing search relevance systems. Your expertise in Python and SQL allows you to design and implement automated ML and NLP pipelines effectively. You are comfortable collaborating with product managers and cross-functional teams to drive technology-first initiatives that align with business strategies. You have a solid understanding of search ranking improvements and can contribute to building robust evaluation frameworks for search quality.
A Master's or PhD in Computer Science or a related field is preferred, as well as experience with large-scale data processing and machine learning frameworks. Familiarity with cloud platforms and data engineering practices would be a plus. You are passionate about advancing AI/ML-powered products and are eager to contribute to a team that values innovation and collaboration.
In this role, you will drive the development and deployment of machine learning-based search and discovery relevance models integrated with Databricks' products and services. You will design and implement automated ML and NLP pipelines for data preprocessing, query understanding, ranking, and retrieval, enabling rapid experimentation and iteration. Collaborating closely with product managers and cross-functional teams, you will help shape the technology-first initiatives that enhance the search and discovery experience for Databricks' customers. You will also contribute to building a robust framework for evaluating search ranking improvements, both offline and online, ensuring that the search product evolves to meet user needs effectively.
At Databricks, you will be part of a dynamic team that is at the forefront of AI/ML innovation. We offer a collaborative work environment where your contributions will directly impact our customers' experiences. You will have opportunities for professional growth and development, working alongside experts in the field. Our commitment to diversity and inclusion means that we value different perspectives and backgrounds, fostering a culture where everyone can thrive. Join us in advancing the future of data and AI-powered products.
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