Sr. Staff Engineer - Search Platform

    • Uber Corporate
  • Sunnyvale, CA
  • Posted 60+ days ago | Updated 4 hours ago

Overview

On Site
USD 252,000.00 - 280,000.00 per year
Full Time

Skills

C++
Machine Learning (ML)
Continuous improvement
Computer science
Programming languages
Problem solving
Data structure
Apache Lucene
Search technologies
Data storage
Data processing
Cloud storage
Distributed computing
Algorithms
Scalability
Leadership
Roadmaps
Natural language processing
Design
Collaboration
Specification
Art
Mentorship
Microsoft Exchange
Java
C
Scripting
Pick
Elasticsearch
Apache Solr
Management
Law
Legal

Job Details

About the Role

The Search Platform team is responsible for the Search experience on several product surfaces at Uber, enabling millions of users to find, discover, and explore rides, food, etc. Search has played an increasingly important role in bringing Uber closer to its vision. The ideal candidate will bring extensive expertise in search infrastructure, showcasing a profound understanding of search algorithms, distributed systems, and scalability.

We are looking for an experienced Sr. Staff Engineer to take a lead role in refining and optimizing our search capabilities while keeping a close tie with our stakeholders. You will be in the center of the action through building solutions that drive our business by building the search roadmap, scaling our current search system (SIA), exploring venture bets and collaborating with experts in machine learning (LLMs), NLP, infrastructure and product managers to deliver results

Responsibilities:
  • Lead the design and architecture of a high-performance search infrastructure, prioritizing scalability, reliability, and efficiency.
  • Collaborate with several cross-functional teams to define requirements and translate them into technical specifications.
  • Develop and implement state-of-the-art search algorithms, enhancing search performance and relevance.
  • Optimize existing search infrastructure for efficiency, speed, and accuracy.
  • Devise and implement solutions that seamlessly scale with the growing needs of our user base.
  • Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement
Basic Qualifications
  • BS or MS in Computer Science or a related technical discipline, or equivalent experience.
  • Highly proficient in one of the following programming languages: Java, Go, C/C++. Good scripting skills and ability to pick up new ones.
  • Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
Preferred Qualifications
  • Under the hood experience with Apache Lucene, ElasticSearch, OpenSearch, Solr and other Search technologies is a strong plus
  • Experience with highly available/fault tolerant, replicated data storage systems, large scale data processing systems or enterprise/cloud storage systems is also a strong plus
  • 8+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals
For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .

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.