Uber Senior Software Engineer - ML Threat Detection 

United States, West Virginia 

83816420

About the Role

You will drive the development and operations of security services and frameworks to support user-facing products and platforms across Uber. You are passionate and pragmatic technologists who are able to design scalable systems while delivering high-quality code. The security landscape is constantly evolving, and with the adoption of ML/GenAI backed by extensive heterogeneous data, security threats are inevitably broadened. With your deep and comprehensive expertise across major technology stacks, you will architect, implement and scale industry-leading security solutions for the entire company. You will collaborate with security leaders and with the broader engineering organization to ensure that the technologies and systems that Uber depends on are built with security-by-design in mind.

What you will do

• Developing Security Solutions: designing, developing, and implementing software solutions to enhance the security posture of the organization.
• Threat Analysis and Detection: Analyzing security threats and vulnerabilities to develop strategies for detection and mitigation.
• Code Review and Testing
• Research: Researching new techniques and tools to enhance the organization's cyber defense capabilities.
• Collaboration and Communication: Working closely with cross-functional teams such as network operations, incident response, and compliance to ensure a cohesive approach to cybersecurity.

Basic Qualifications

• BS/MS Degree in Computer Science or related field
• 5+ years of industry experience in a software development environment
• Proficiency in programming languages like Java, Golang, or Python
• Hands-on experience with distributed systems
• Hands-on experience with machine learning
• Experience leading projects across global cross-functoinal stakeholders
• Experience leading and mentoring junior engineers

Preferred Qualifications

• Prior experience with big data processing, such as Spark
• Prior experience with streaming data processing, such as Flink
• Prior experience with deep learning
• Prior experience with anomaly detection

* 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 .