Uber

About Uber

Reimagining transportation for a better world

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mission Bay, San Francisco, CA💰 $15.8b3.9
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 Applied Scientist to lead the development of secure AI/ML-based solutions. You'll work with technologies like machine learning and adversarial machine learning to enhance AI security. This position requires a strong foundation in AI technologies and experience in developing security controls.

Job Description

Who you are

You have a strong foundation in both traditional machine learning and advanced LLM technologies — your expertise allows you to develop secure AI systems that are resilient against adversarial attacks. You possess experience in evaluating security controls for large-scale machine learning models and have a deep understanding of adversarial machine learning principles. Your background includes working with retrieval-augmented generation (RAG) systems, and you are adept at alignment-tuning large language models (LLMs). You are passionate about building robust defense mechanisms that protect the entire AI lifecycle, ensuring model integrity and preventing data leakage.

You thrive in collaborative environments and are skilled at leading cross-functional teams to drive the development of secure AI solutions. Your communication skills enable you to articulate complex technical concepts to both technical and non-technical stakeholders. You understand the importance of user trust in AI systems and are committed to creating a secure and trustworthy AI ecosystem. You are proactive in identifying potential security vulnerabilities and are dedicated to implementing effective solutions.

What you'll do

In this role, you will lead efforts to develop and evaluate security controls for large-scale machine learning models, ensuring that Uber's AI systems remain resilient against adversarial attacks. You will work closely with engineering teams to harden retrieval-augmented generation (RAG) systems and secure agentic workflows across internal and external boundaries. Your responsibilities will include driving the development of secure AI/ML-based solutions that support user-facing products and internal downstream services. You will collaborate with various teams to implement engineering standards and policies that enhance AI safety and security.

You will also be responsible for conducting research on emerging threats to AI systems and developing strategies to mitigate these risks. Your work will involve evaluating the effectiveness of existing security measures and proposing improvements based on the latest advancements in AI security. You will play a key role in shaping Uber's approach to AI safety and security, ensuring that the company remains at the forefront of industry standards.

What we offer

Uber offers a dynamic work environment where you can make a significant impact on the future of AI security. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals in the field. The company values innovation and encourages employees to explore new ideas and approaches to enhance AI safety. Additionally, Uber provides competitive compensation and benefits, along with opportunities for professional growth and development.

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