Uber

About Uber

Reimagining transportation for a better world

🏒 TechπŸ‘₯ 1001+ employeesπŸ“… Founded 2009πŸ“ Mission Bay, San Francisco, CAπŸ’° $15.8b⭐ 3.9
B2CTravelMarketplaceTransportRidesharingDelivery

Key Highlights

  • Public company (NYSE: UBER) since May 2019
  • Completed over 1.5 billion trips globally
  • Generated $4.8B in revenue from Uber Eats in 2020
  • Raised $15.8 billion in funding

Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...

🎁 Benefits

Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...

🌟 Culture

Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...

Overview

Uber is hiring a Senior Software Engineer to drive the development of security services and frameworks. You'll work with machine learning techniques to enhance security systems and data pipelines. This position requires a strong software engineering background and experience in security.

Job Description

Who you are

You are a seasoned software engineer with a strong background in machine learning, eager to apply your skills to real-world security challenges. With 5+ years of experience in software development, you have a deep understanding of building scalable systems and data pipelines that enhance security measures. You thrive in collaborative environments, working closely with cross-functional teams to embed security-by-design across technology stacks.

Your expertise in machine learning allows you to develop innovative solutions that improve security posture, focusing on detection, classification, and risk scoring. You are proficient in Python and have experience with data ingestion and transformation processes, ensuring that security analytics workflows are robust and efficient. You understand the importance of maintaining high standards in model performance and data quality in production environments.

What you'll do

In this role, you will design and build ML-powered security systems that protect Uber’s user-facing products and core platforms. You will develop backend infrastructure and ETL pipelines to support security analytics and machine learning workflows, ensuring that data is processed reliably and efficiently. Your responsibilities will include productionizing machine learning models for security use cases, taking them from experimentation to deployment while monitoring their performance and scalability.

You will collaborate closely with security leadership and partner engineering teams to create actionable security insights from noisy telemetry data. Your role will involve code reviews and testing to maintain high-quality standards in the software you develop. You will also contribute to the evolution of Uber’s security landscape, adapting to the constantly changing threat environment and leveraging heterogeneous signals to enhance security measures.

What we offer

Uber provides a dynamic work environment where you can make a significant impact on security practices. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals in the field. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to enhance security and protect our users while enjoying a flexible work arrangement that balances in-office and remote work.

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