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Sr Software Engineer - BE+Data

Backend, Engineering
in Bangalore, India

About the Role

We are seeking a talented and entrepreneurial Sr Software Engineer for Uber's Delivery Search Data Foundations and Measurement team. The team seeks to supercharge the quantity, quality, freshness, and reliability of the data and measurements backing the Uber Eats search experience, across both our established online food delivery business and our early-lifecycle grocery & retail vertical.

What the Candidate Will Do:

Design and implement scalable pipelines for ML data preparation, training, and prediction; and/or for LLM-driven measurement of Search result quality.

Collaborate with Science and Product partners to define and prioritize next generation measures of search quality.

Define engineering standards for end-to-end lifecycle of LLM-backed search quality measurement systems, from prototyping to reliable productionization at scale. Collaborate with ML partners to implement this lifecycle.

Work with machine learning engineers to advance the internal state of the art of AI model capabilities, data scale, and data freshness.

Platformize quality measurement systems to enable self-service operations by stakeholders and scale the team.

Basic Qualifications:

5+ years of engineering experience spanning backend and/or data systems. Either deep in one domain or balanced across both.

Demonstrated experience translating cross-team technical and product goals into detailed design and project plans, and in mentoring other engineers.

Experience operating with stateful and/or pipeline-based systems at high scale, with demonstrated impact reflecting a thoughtful design orientation and an understanding of the tradeoffs in data-intensive systems.

Preferred Qualifications:

Deep experience across both backend and data systems.

Knowledge of statistics (e.g., sampling techniques) and/or information retrieval quality assessment techniques.

Experience with Search technologies, e.g., OpenSearch, Elasticsearch, or other Lucene-based systems.

Experience with ML data preparation, training, and prediction pipelines.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.


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