Urgent! Optimization Engineer II - Delivery Marketplace Job Opening In New York – Now Hiring Uber
**About the Role**
Delivery Marketplace is a central pillar to Uber's delivery products.
As the central brain of the company, we are the decision makers that make moving from point A to point B possible for every order that Uber serves, from UberEats to new verticals such as Grocery.
We handle all the logic from making the dispatch decisions, predicting how long a delivery might take, and estimating optimal pickup times for orders.
We build products that directly impact Uber's top and bottom lines.
Optimization Engineers lead efforts within the team and broader Delivery Marketplace organization to drive ideation, development and productionization of optimization solutions with real-time and ML-based signals that solve strategically important problems.
Some existing problem spaces that the team works on:
+ Using statistical/machine learning/forecasting models for demand and supply models
+ Develop the objective function which balances magical user experience and economics of the business
+ Design dispatch timing algorithms
It is a challenging yet rewarding job.
You will have a lot of opportunities to work with product managers, data scientists and engineers from other teams.
You will be in charge of solving Uber-scale problems with the right techniques like reinforcement learning, deep learning, and optimization methods.
**What You Will Do**
+ You will build new scalable algorithms for real-time delivery matching products across hundreds of global marketplaces.
+ You will take things from mathematical formulation through to prototype and experiment to production.
+ You will help identify new opportunities for improving our algorithms and models
**Basic Qualifications**
+ Bachelors (or higher) in Computer Science, Engineering, Mathematics or a related field
+ Experience in programming with a language such as Python, C, C++, Java, Go, etc.
+ Experience with SQL and database systems such as Hive, Kafka, Cassandra, etc.
**Preferred Qualifications**
+ 1 year or more of industry experience developing algorithms and optimization models for large-scale deployment.
+ Experience with two or three-sided marketplace design, matching/allocation, pricing optimization, etc
+ 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)
+ Strong communication skills and ability to work effectively with cross-functional partners.
For New York, NY-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For all US locations, 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.
Uber is proud to be an Equal Opportunity/Affirmative Action 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://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
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Unlock Your Optimization Engineer Potential: Insight & Career Growth Guide
Real-time Optimization Engineer Jobs Trends in New York, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Optimization Engineer in New York, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 172254 jobs in United States and 4658 jobs in New York. This comprehensive analysis highlights market share and opportunities for professionals in Optimization Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Uber is currently hiring and seeking a Optimization Engineer II Delivery Marketplace to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Uber adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Optimization Engineer II Delivery Marketplace Jobs United States varies, but the pay scale is rated "Standard" in New York. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Optimization Engineer II Delivery Marketplace typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Optimization Engineer II Delivery Marketplace interview at Uber, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Uber's products or services and be prepared to discuss how you can contribute to their success.
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