Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Leading the design, development, and deployment of AI-powered systems for customer support and documentation platform with an accent on evaluation, answer retrieval, and quality improvement. Focus on ensuring performance, reliability, and accuracy of knowledge systems while contributing to long-term technical planning.

Salary: $190,000—$260,000 USD

Company

Databricks is the data and AI company that provides a Data Intelligence Platform to unify and democratize data, analytics, and AI.

What you will do

• Lead the design, development, and deployment of systems for evaluation, answer retrieval, and quality improvement for helping customers.
• Lead architectural decisions to ensure performance, reliability, and accuracy of the knowledge systems.
• Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
• Deliver high-quality, production-ready code and services end-to-end, including performance tuning, resiliency improvements, and debugging in live environments.
• Contribute to longer-term technical planning and support strategic initiatives in Assistant and Support organizations.

Requirements

• 6+ years of industry experience building and operating large-scale distributed systems.
• Demonstrated technical proficiency in machine learning and software engineering, coupled with a strong product-oriented approach.
• The capacity to define and structure solutions in ambiguous problem domains.
• Ability to mentor and guide junior engineers, as well as to effectively collaborate across various team boundaries.
• Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value.
• Prior experience with retrieval systems and search technologies is a plus.

Culture & Benefits

• Databricks is committed to fostering a diverse and inclusive culture where everyone can excel.
• Comprehensive benefits and perks are provided to meet the needs of all employees.