Uber · 1 day ago
Senior Staff Engineer - Marketplace Competitive Intelligence
San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$257K/yr - $286K/yr
7+ years expUber is looking for a Senior Staff Engineer to lead the technical vision and execution for their Competitive Intelligence domain. The role involves deriving insights from complex data sources and overseeing technical defenses against data abuse, while mentoring engineers and collaborating with senior leadership.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
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
Qualification
Required
Master's Degree or equivalent in Computer Science, Engineering, Mathematics or related field with 7+yrs 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
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 techniques, supervised, deep, or probabilistic learning)
Proficiency in unsupervised learning techniques, such as clustering, anomaly detection, and neural networks
Familiarity with supervised learning, as it often complements unsupervised methods
Understanding of feature engineering and dimensionality reduction
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
Benefits
You will be eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
You will also be eligible for various benefits.
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10001+ employees
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B
Leadership Team
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
2026-01-09
2026-01-08
2026-01-08
Company data provided by crunchbase