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Senior Software Engineer - ML Threat Detection

Uber

About The Role

As a Senior Software Engineer specializing in ML Threat Detection at Uber, you will be at the forefront of developing and operating security services and frameworks that support user-facing products and platforms. Your role will involve designing scalable systems and delivering high-quality code to enhance Uber's security posture. With the ever-evolving security landscape, particularly with the adoption of ML/GenAI backed by extensive heterogeneous data, your expertise will be crucial in broadening and strengthening Uber's security measures.

Key Responsibilities

  • Developing Security Solutions: Design, develop, and implement software solutions to enhance the security posture of the organization.
  • Threat Analysis and Detection: Analyze security threats and vulnerabilities to develop strategies for detection and mitigation.
  • Code Review and Testing: Conduct thorough code reviews and testing to ensure robust security measures.
  • Research: Stay abreast of new techniques and tools to enhance the organization's cyber defense capabilities.
  • Collaboration and Communication: Work 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 and machine learning.
  • Experience leading projects across global cross-functional 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 and anomaly detection.

Join us at Uber and be part of a team that is dedicated to reimagining how we can move better and safer. Your contributions will be pivotal in ensuring that Uber's technologies and systems are built with security-by-design in mind.

Benefits
Extracted with AI

  • Flexible work hours
  • Professional development opportunities
  • Collaborative work environment

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