Senior AI/ML Engineer

About the Team

Our mission is to make Uber the industry model for secure and seamless access through differentiated, highly scalable, and extensible products and services, engineering standards, policy, and open communications. We are focusing on building both an identity and access management technology platform and user-facing products that give our users more control over their access, build trust, advance security, and enable our business.

About the Role

Lead efforts to develop and evaluate large-scale traditional machine learning models, optimize retrieval-augmented generation (RAG) systems, fine-tune large language models (LLMs), and implement agentic workflows. 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 AI/ML 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.

What you will do

• Developing Security Solutions: Designing, developing, and implementing software solutions to enhance the security posture of the organization.
• Develop and evaluate large-scale machine learning models systems.
• Research: Researching new techniques and tools to enhance the organizations cyber defense capabilities.
• Optimize retrieval-augmented generation (RAG) systems for enhanced performance and relevance.
• Fine-tune large language models (LLMs) to improve predictive accuracy and operational efficiency.
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  Implement agentic workflows to streamline processes and enhance decision-making.
• Collaboration and Communication: Work closely with cross-functional teams such as IAM, network operations, incident response, and compliance to ensure a cohesive approach to cybersecurity. Actively participate in code and design reviews, providing constructive feedback and incorporating suggestions to enhance solution quality and maintainability.
• Propose, design, and analyze large scale online experiments
• Define and implement metrics to measure product performance
• Present findings to business and executive audiences
• Collaborate with engineers and product managers to implement ideas and plan future roadmaps.
• Leading efforts in creating and promoting comprehensive technical documentation, including API specifications, onboarding guides, operational runbooks, and user-facing content.

Basic Qualifications

• Ph.D., MS or Bachelors degree in Statistics, Economics, Operations Research, Computer Science, Engineering, or other quantitative field
• Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
• Hands-on experience building and deployment ML models.
• Knowledge of experimental design and analysis
• Experience with exploratory data analysis, statistical analysis and testing, and model development
• Ability to use a language like Python or R to work efficiently at scale with large data sets
• Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop

Bonus Qualifications

• Knowledge in modern machine learning techniques applicable to Cybersecurity domain
• Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop
• Advanced understanding of statistics, causal inference, and machine learning
• Experience designing and analyzing large scale online experiments
• Experience working with large scale data sets using technologies like Hive, Presto, and Spark
• Experience with synthetic data generation.
• Proficiency in fine-tuning and optimizing large language models (LLMs).
• Experience in retrieval-augmented generation (RAG) systems.
• Familiarity with agentic workflows and their applications in machine learning and AI systems.

Ubers mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - lets move it forward, together.

Offices continue to be central to collaboration and Ubers 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 .