Senior Software Engineer - ML Threat Detection

As a Senior Software Engineer in ML Threat Detection at Uber, you will play a crucial role in developing and operating security services and frameworks to support user-facing products and platforms across the company. Your responsibilities will include:

1. Driving the development of scalable security solutions using ML/GenAI to combat evolving threats.
2. Designing and implementing industry-leading security systems with a security-by-design approach.
3. Collaborating with security leaders and engineering teams to ensure robust security across Uber's technologies.
4. Analyzing security threats and vulnerabilities to develop detection and mitigation strategies.
5. Conducting code reviews and testing to maintain high-quality standards.
6. Researching new techniques and tools to enhance Uber's cyber defense capabilities.
7. Working closely with cross-functional teams to ensure a cohesive approach to cybersecurity.

You should have:

• BS/MS Degree in Computer Science or related field
• 5+ years of industry experience in software development
• Proficiency in Java, Golang, or Python
• Hands-on experience with distributed systems and machine learning

Preferred qualifications include experience with big data processing (e.g., Spark), streaming data processing (e.g., Flink), deep learning, and anomaly detection.

Uber values diversity and welcomes applicants from all backgrounds who are passionate about building the future of independent movement. The role offers a blend of in-office and remote work, with at least half of the work time expected to be spent in the assigned office.

Join Uber to help move the world forward and be part of a team that's shaping the future of cybersecurity in the transportation and technology sectors.