Sr Software Engineer

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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 .
  
  

What The Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• Develop Security Solutions: designing, developing, and implementing software solutions to enhance the security posture of the organization.
• Develop and evaluate large-scale machine learning models systems
• Research: Researching new techniques and tools to enhance the organization's cyber defense capabilities.
• Present findings to business and executive audiences
• Collaborate with engineers and product managers to implement ideas and plan future roadmaps
• Optimize retrieval-augmented generation (RAG) systems for enhanced performance and relevance.
• Fine-tune large language models (LLMs) to improve predictive accuracy and operational efficiency.
• Implement agentic workflows to streamline processes and enhance decision-making.
• Collaboration and Communication: Work closely with cross-functional teams such as IAM, network operations, incident response, and compliance to implement ideas, plan future roadmaps and ensure a cohesive approach to cybersecurity.
  
  

Basic Qualifications

• Ph.D., MS or Bachelors degree in Statistics, Operations Research, Computer Science, Engineering, or other quantitative field
• 5+ years of industry experience in software engineering
• Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
• Hands-on experience building and deployment ML models.
• Knowledge of experimental design and analysis
• Ability to use a language like Python or R to work efficiently at scale with large data sets
  
  

Preferred Qualifications

• Knowledge in modern machine learning techniques applicable to Cybersecurity domain
• Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop
• Advanced understanding of statistics, causal inference, and machine learning
• Experience designing and analyzing large scale online experiments
• Experience working with large scale data sets using technologies like Hive, Presto, and Spark
• Experience with synthetic data generation.
• Proficiency in fine-tuning and optimizing large language models (LLMs).
• Experience in retrieval-augmented generation (RAG) systems.
• Familiarity with agentic workflows and their applications in machine learning and AI systems.