Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
57 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $180k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $152,150–$207,350.

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 343 open roles on FindRole.

Listed pay typically runs $202,000–$202,000 across 55 roles with salary data.

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At a glance

TL;DR · Page Not Found | Uber

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Senior Software Engineer at Uber's Maps team, you will work on developing and scaling the company’s core mapping technologies. Your day-to-day responsibilities include designing robust systems that enhance navigation accuracy and efficiency, collaborating with cross-functional teams to integrate real-time data into maps, and implementing cutting-edge algorithms for route optimization. The role requires expertise in Python, C++, and JavaScript, along with experience in cloud services like AWS or GCP. You should be familiar with geospatial databases such as PostGIS and have a strong background in machine learning frameworks like TensorFlow or PyTorch. This position addresses the critical need to provide accurate and reliable mapping solutions for Uber’s global user base, ensuring seamless transportation experiences across diverse urban environments.

Skills

No skills listed

What you'll do

  • Analyze data to optimize ride-sharing algorithms.
  • Develop features enhancing user experience on mobile apps.
  • Implement machine learning models for predictive analytics.
  • Ensure compliance with regulatory standards in all operations.
  • Monitor system performance and implement scalability solutions.

What we're looking for

  • Minimum 5 years of experience in logistics or transportation industry.
  • Proven track record in managing large-scale operations and teams.
  • Strong analytical skills with ability to optimize processes and reduce costs.
  • Excellent communication and negotiation skills for stakeholder engagement.
  • Experience with data analytics tools and software for performance tracking.

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