Uber
Senior Staff Engineer - Marketplace Competitive Intelligence
Uber, Seattle, Washington, us, 98127
About The Role
Uber is looking for a Senior Staff Engineer to lead the technical vision and execution for our Competitive Intelligence domain. This role operates at the intersection of core business strategy and market-level decision systems such as pricing, incentives, and marketplace configuration. The 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 will help derive meaningful, actionable insight from incomplete, noisy, and often unreliable data sources to better understand market dynamics, competitor behavior, and pricing strategy. You will build systems that extract signal from chaos, integrating low-trust external data into internal pricing and incentive systems, and shaping narratives that guide Uber\'s most strategic decisions. On the defensive front, you will oversee the architecture and technical leadership needed to prevent scraping and data abuse, protecting the integrity of the 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 the 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, including adversarial machine learning and bot detection to protect Uber\'s data and platform integrity at scale. Drive 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++, Java, Python, or Go). Experience driving large-scale system modernization, performance optimizations, and deployment safety improvements. Ability to lead large technical initiatives and drive cross-team collaboration across platform, security, and infrastructure teams. Preferred Qualifications
Cybersecurity knowledge: understanding of web scraping techniques and countermeasures. Awareness of network security, HTTP protocols, and API security. Experience in modern machine learning algorithms (e.g., tree-based, supervised, deep, or probabilistic learning) and unsupervised learning techniques (e.g., clustering, anomaly detection, neural networks). Familiarity with machine learning libraries such as TensorFlow/PyTorch, Scikit-Learn, or Spark MLlib; understanding of feature engineering and dimensionality reduction. Understanding of causal ML and reinforcement learning; awareness of ethical considerations and regulatory compliance related to data privacy and machine learning. Note: For San Francisco, CA-based roles and Seattle, WA-based roles, the base salary range is USD 257,000 to USD 285,500 per year. All US locations include eligibility for Uber\'s bonus program, potential equity awards, and other compensation; benefits details are available at https://www.uber.com/careers/benefits.
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Uber is looking for a Senior Staff Engineer to lead the technical vision and execution for our Competitive Intelligence domain. This role operates at the intersection of core business strategy and market-level decision systems such as pricing, incentives, and marketplace configuration. The 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 will help derive meaningful, actionable insight from incomplete, noisy, and often unreliable data sources to better understand market dynamics, competitor behavior, and pricing strategy. You will build systems that extract signal from chaos, integrating low-trust external data into internal pricing and incentive systems, and shaping narratives that guide Uber\'s most strategic decisions. On the defensive front, you will oversee the architecture and technical leadership needed to prevent scraping and data abuse, protecting the integrity of the 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 the 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, including adversarial machine learning and bot detection to protect Uber\'s data and platform integrity at scale. Drive 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++, Java, Python, or Go). Experience driving large-scale system modernization, performance optimizations, and deployment safety improvements. Ability to lead large technical initiatives and drive cross-team collaboration across platform, security, and infrastructure teams. Preferred Qualifications
Cybersecurity knowledge: understanding of web scraping techniques and countermeasures. Awareness of network security, HTTP protocols, and API security. Experience in modern machine learning algorithms (e.g., tree-based, supervised, deep, or probabilistic learning) and unsupervised learning techniques (e.g., clustering, anomaly detection, neural networks). Familiarity with machine learning libraries such as TensorFlow/PyTorch, Scikit-Learn, or Spark MLlib; understanding of feature engineering and dimensionality reduction. Understanding of causal ML and reinforcement learning; awareness of ethical considerations and regulatory compliance related to data privacy and machine learning. Note: For San Francisco, CA-based roles and Seattle, WA-based roles, the base salary range is USD 257,000 to USD 285,500 per year. All US locations include eligibility for Uber\'s bonus program, potential equity awards, and other compensation; benefits details are available at https://www.uber.com/careers/benefits.
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