Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 38 days ago
Market check
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–$208,800.
Based on 238 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 391 open roles on FindRole.
Listed pay typically runs $202,000–$202,000 across 56 roles with salary data.
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At a glance
TL;DR · Page Not Found | Uber
Senior Software Engineer at Uber's Maps team, you will work on developing and enhancing the company’s mapping technologies that power navigation and location services. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms, and collaborating with cross-functional teams to integrate real-time data into our map solutions. Proficiency in Python, C++, or Java is essential, along with experience in machine learning frameworks like TensorFlow or PyTorch. Knowledge of geospatial databases such as PostGIS and familiarity with cloud services like AWS or GCP are highly valued. This role involves tackling complex challenges related to large-scale data processing and real-time analytics to improve user experiences across Uber’s global platforms.
Skills
What you'll do
- Manage and optimize delivery routes using advanced logistics software.
- Analyze rider data to improve driver efficiency and reduce wait times.
- Develop algorithms to predict demand spikes in real-time urban settings.
- Implement machine learning models to enhance the accuracy of ETA predictions.
- Collaborate with cross-functional teams to integrate new features into the app.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale projects and teams.
- Strong analytical skills with ability to interpret complex data sets.
- Excellent communication and negotiation skills with stakeholders.
- Experience in developing and implementing strategic business plans.
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