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Staff Optimization Engineer, Dynamic Pricing

Uber

Software and Technology Jobs

Staff Optimization Engineer, Dynamic Pricing

full-timePosted: Apr 18, 2025

Job Description

Staff Optimization Engineer, Dynamic Pricing

📋 Job Overview

The Staff Optimization Engineer, Dynamic Pricing role at Uber involves working on the Surge team to balance supply and demand through dynamic pricing. The role requires building scalable real-time systems for pricing across global marketplaces and setting technical direction. This position significantly impacts Uber's marketplace efficiency and customer experience.

📍 Location: San Francisco, California, United States

🏢 Department: Engineering

📄 Full Description

**About the Role**

The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session.

Surge plays a critical role in service of Uber’s mission to make transport accessible. We generate billions of dollars in annual gross bookings for the company by optimizing network efficiency and make a significant contribution to driver earnings. What we do has an outsized impact on our riders because prices and reliability are two of the most important elements of customer experience.

**What You'll Do**

- You will work with a mixed team of Engineers, Operations Researchers, and Economists.
- You will build new scalable algorithms for real-time pricing of Ubers products across hundreds of global marketplaces.
- You will help set the team's technical direction and roadmap.
- You will communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers.

**Basic Qualifications**

- PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling.
- 5+ years of industry experience developing algorithms and models for large-scale deployment.
- Experience with optimization packages such as Gurobi, CPLEX, and OR Tools.
- Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc…
- Strong communication skills and ability to work effectively with cross-functional partners.
- Proficiency in one or more coding languages such as Python, Java, Go, or C++.

**Preferred Qualifications**

- Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
- Experience with real-time optimization systems (optimization under tight time constraints)
- Experience mentoring and growing junior engineers
- Experience with creating and defining technical direction and roadmaps

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

🎯 Key Responsibilities

  • Work with a mixed team of Engineers, Operations Researchers, and Economists
  • Build new scalable algorithms for real-time pricing of Uber's products across hundreds of global marketplaces
  • Help set the team's technical direction and roadmap
  • Communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers

✅ Required Qualifications

  • PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling
  • 5+ years of industry experience developing algorithms and models for large-scale deployment
  • Experience with optimization packages such as Gurobi, CPLEX, and OR Tools
  • Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc.
  • Strong communication skills and ability to work effectively with cross-functional partners
  • Proficiency in one or more coding languages such as Python, Java, Go, or C++

🛠️ Required Skills

  • Optimization modeling
  • Algorithm development
  • Large-scale deployment
  • Use of optimization packages (Gurobi, CPLEX, OR Tools)
  • Two-sided marketplace design
  • Pricing optimization
  • Matching/allocation
  • Communication
  • Proficiency in coding languages (Python, Java, Go, C++)

🎁 Benefits

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits (details at https://www.uber.com/careers/benefits)

Locations

  • San Francisco, California, United States

Salary

223,000 - 248,000 USD / yearly

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Optimization modelingintermediate
  • Algorithm developmentintermediate
  • Large-scale deploymentintermediate
  • Use of optimization packages (Gurobi, CPLEX, OR Tools)intermediate
  • Two-sided marketplace designintermediate
  • Pricing optimizationintermediate
  • Matching/allocationintermediate
  • Communicationintermediate
  • Proficiency in coding languages (Python, Java, Go, C++)intermediate

Required Qualifications

  • PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling (experience)
  • 5+ years of industry experience developing algorithms and models for large-scale deployment (experience)
  • Experience with optimization packages such as Gurobi, CPLEX, and OR Tools (experience)
  • Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc. (experience)
  • Strong communication skills and ability to work effectively with cross-functional partners (experience)
  • Proficiency in one or more coding languages such as Python, Java, Go, or C++ (experience)

Preferred Qualifications

  • Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference (experience)
  • Experience with real-time optimization systems (optimization under tight time constraints) (experience)
  • Experience mentoring and growing junior engineers (experience)
  • Experience with creating and defining technical direction and roadmaps (experience)

Responsibilities

  • Work with a mixed team of Engineers, Operations Researchers, and Economists
  • Build new scalable algorithms for real-time pricing of Uber's products across hundreds of global marketplaces
  • Help set the team's technical direction and roadmap
  • Communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers

Benefits

  • general: Eligible to participate in Uber's bonus program
  • general: May be offered an equity award & other types of comp
  • general: Eligible for various benefits (details at https://www.uber.com/careers/benefits)

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Uber logo

Staff Optimization Engineer, Dynamic Pricing

Uber

Software and Technology Jobs

Staff Optimization Engineer, Dynamic Pricing

full-timePosted: Apr 18, 2025

Job Description

Staff Optimization Engineer, Dynamic Pricing

📋 Job Overview

The Staff Optimization Engineer, Dynamic Pricing role at Uber involves working on the Surge team to balance supply and demand through dynamic pricing. The role requires building scalable real-time systems for pricing across global marketplaces and setting technical direction. This position significantly impacts Uber's marketplace efficiency and customer experience.

📍 Location: San Francisco, California, United States

🏢 Department: Engineering

📄 Full Description

**About the Role**

The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session.

Surge plays a critical role in service of Uber’s mission to make transport accessible. We generate billions of dollars in annual gross bookings for the company by optimizing network efficiency and make a significant contribution to driver earnings. What we do has an outsized impact on our riders because prices and reliability are two of the most important elements of customer experience.

**What You'll Do**

- You will work with a mixed team of Engineers, Operations Researchers, and Economists.
- You will build new scalable algorithms for real-time pricing of Ubers products across hundreds of global marketplaces.
- You will help set the team's technical direction and roadmap.
- You will communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers.

**Basic Qualifications**

- PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling.
- 5+ years of industry experience developing algorithms and models for large-scale deployment.
- Experience with optimization packages such as Gurobi, CPLEX, and OR Tools.
- Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc…
- Strong communication skills and ability to work effectively with cross-functional partners.
- Proficiency in one or more coding languages such as Python, Java, Go, or C++.

**Preferred Qualifications**

- Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
- Experience with real-time optimization systems (optimization under tight time constraints)
- Experience mentoring and growing junior engineers
- Experience with creating and defining technical direction and roadmaps

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

🎯 Key Responsibilities

  • Work with a mixed team of Engineers, Operations Researchers, and Economists
  • Build new scalable algorithms for real-time pricing of Uber's products across hundreds of global marketplaces
  • Help set the team's technical direction and roadmap
  • Communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers

✅ Required Qualifications

  • PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling
  • 5+ years of industry experience developing algorithms and models for large-scale deployment
  • Experience with optimization packages such as Gurobi, CPLEX, and OR Tools
  • Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc.
  • Strong communication skills and ability to work effectively with cross-functional partners
  • Proficiency in one or more coding languages such as Python, Java, Go, or C++

🛠️ Required Skills

  • Optimization modeling
  • Algorithm development
  • Large-scale deployment
  • Use of optimization packages (Gurobi, CPLEX, OR Tools)
  • Two-sided marketplace design
  • Pricing optimization
  • Matching/allocation
  • Communication
  • Proficiency in coding languages (Python, Java, Go, C++)

🎁 Benefits

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits (details at https://www.uber.com/careers/benefits)

Locations

  • San Francisco, California, United States

Salary

223,000 - 248,000 USD / yearly

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Optimization modelingintermediate
  • Algorithm developmentintermediate
  • Large-scale deploymentintermediate
  • Use of optimization packages (Gurobi, CPLEX, OR Tools)intermediate
  • Two-sided marketplace designintermediate
  • Pricing optimizationintermediate
  • Matching/allocationintermediate
  • Communicationintermediate
  • Proficiency in coding languages (Python, Java, Go, C++)intermediate

Required Qualifications

  • PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling (experience)
  • 5+ years of industry experience developing algorithms and models for large-scale deployment (experience)
  • Experience with optimization packages such as Gurobi, CPLEX, and OR Tools (experience)
  • Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc. (experience)
  • Strong communication skills and ability to work effectively with cross-functional partners (experience)
  • Proficiency in one or more coding languages such as Python, Java, Go, or C++ (experience)

Preferred Qualifications

  • Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference (experience)
  • Experience with real-time optimization systems (optimization under tight time constraints) (experience)
  • Experience mentoring and growing junior engineers (experience)
  • Experience with creating and defining technical direction and roadmaps (experience)

Responsibilities

  • Work with a mixed team of Engineers, Operations Researchers, and Economists
  • Build new scalable algorithms for real-time pricing of Uber's products across hundreds of global marketplaces
  • Help set the team's technical direction and roadmap
  • Communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers

Benefits

  • general: Eligible to participate in Uber's bonus program
  • general: May be offered an equity award & other types of comp
  • general: Eligible for various benefits (details at https://www.uber.com/careers/benefits)

Target Your Resume for "Staff Optimization Engineer, Dynamic Pricing" , Uber

Get personalized recommendations to optimize your resume specifically for Staff Optimization Engineer, Dynamic Pricing. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Staff Optimization Engineer, Dynamic Pricing" , Uber

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

UberSan FranciscoUnited StatesEngineeringEngineering

Answer 10 quick questions to check your fit for Staff Optimization Engineer, Dynamic Pricing @ Uber.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.