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Senior Software Engineer - ML Threat Detection
UberAmsterdam, Netherlands
Onsite
Full-time
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 the Candidate Will Need / Bonus Points
- 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
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
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.
Senior Software Engineer - ML Threat Detection
Location
Amsterdam, Netherlands
Workplace
Onsite
Type
Full-time
