Uber Jobs in California

Senior Staff Engineer

• Marketplace Competitive Intelligence

Uber is looking for a Senior Staff Engineer to lead the technical vision and execution for our Competitive Intelligence domain. A mission-critical space at the intersection of core business strategy and market-level decision systems such as pricing, incentives, and marketplace configuration. This role spans both offensive and defensive workstreams, requiring a systems thinker who can operate across high-stakes ambiguity and deep technical complexity.

On the offensive side, you'll help us derive meaningful, actionable insight from incomplete, noisy, and often unreliable data sources to better understand market dynamics, competitor behavior, and pricing strategy. The systems you build must extract signal from chaos, integrating low-trust external data into internal pricing and incentive systems, and shaping coherent narratives that guide Uber's most strategic decisions.

On the defensive front, you'll oversee the architecture and technical leadership needed to prevent scraping and data abuse, protecting the integrity of our platform and preserving the value of Uber's proprietary data. This includes work in adversarial machine learning, bot detection, and the design of resilient, real-time defenses at scale.

This role offers a rare opportunity to define the direction of critical, high-impact systems that shape Uber's competitive edge, while mentoring engineers and partnering closely with senior leadership across product, engineering, data science, and security.

What You Will Do

Lead the design and development of systems that extract strategic insights from unreliable and fragmented market data

Architect and guide the implementation of real-time defenses against scraping and data abuse, working on adversarial machine learning and bot detection solutions to protect Uber's data and platform integrity at scale.

Drive critical cross-functional initiatives by partnering with data science, security, product, and engineering teams to align technical solutions with business priorities and long-term strategy.

Mentor senior engineers across multiple teams, providing technical direction, setting engineering standards, and fostering a culture of high-quality system design, experimentation, and resilience.

Basic Qualifications

Master's Degree or equivalent in Computer Science, Engineering, Mathematics or related field with 7

• years of software development experience.

Proficiency in one of the programming languages (e.g. C, C

•

Preferred Qualifications

Cybersecurity Knowledge: Understanding of web scraping techniques and countermeasures.

Awareness of network security, HTTP protocols, and API security.

Proficiency in unsupervised learning techniques, such as clustering, anomaly detection, and neural networks.

Familiarity with supervised learning, as it often complements unsupervised methods.

Familiarity with machine Learning software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib

Causal ML and Reinforcement Learning

Ethical Considerations and Compliance: awareness of ethical issues and regulatory compliance related to data privacy and machine learning.

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year

For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.

You will also be eligible for various benefits. More details can be found at the following link.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.