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Uber

Quick summary

Work type: On-site
Location: San Francisco, CASeattle, WA
Posted: 35 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $193k

$136k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $159,962–$225,425.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 362 open roles on FindRole.

Listed pay typically runs $209,000–$209,000 across 50 roles with salary data.

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At a glance

TL;DR · Page Not Found | Uber

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As a Senior Staff Engineer at Uber in the Competitive Intelligence domain, you will lead the technical vision and execution for systems that extract strategic insights from unreliable market data while also architecting real-time defenses against scraping and data abuse. This role involves designing and implementing solutions using adversarial machine learning and bot detection to protect platform integrity. You will collaborate closely with cross-functional teams including data science, security, product, and engineering to align technical strategies with business goals. Additionally, you will mentor senior engineers and set high standards for system design and resilience. The ideal candidate has a Master's degree in Computer Science or related field, 7+ years of software development experience, and proficiency in languages like Python or Go. Preferred qualifications include expertise in cybersecurity, machine learning frameworks such as TensorFlow or PyTorch, and an understanding of ethical considerations and regulatory compliance.

Skills

Python Java Go Kubernetes Terraform AWS CI/CD Prometheus Grafana Docker Adversarial_Machine_Learning Bot_Detection TensorFlow Pytorch Scikit-Learn Spark_MLLib Causal_Inference Reinforcement_Learning API_Security

What you'll do

Lead the design and development of systems extracting strategic insights from unreliable market data.
Architect real-time defenses against scraping and data abuse, including adversarial machine learning solutions.
Partner with cross-functional teams to align technical solutions with business priorities and long-term strategy.
Mentor senior engineers across multiple teams, setting engineering standards and fostering high-quality system design.
Drive large-scale system modernization and performance optimizations for critical initiatives.
Protect Uber’s platform integrity by designing resilient defenses against data abuse at scale.

What we're looking for

Master's Degree in Computer Science, Engineering, Mathematics or equivalent with 7+ years of software development experience.
Proficiency in programming languages such as C, C++, Java, Python, or Go.
Experience leading large-scale system modernization and performance optimizations.
Expertise in adversarial machine learning and bot detection solutions.
Strong background in both unsupervised and supervised machine learning techniques.
Familiarity with ethical considerations and regulatory compliance in data privacy.