Overview
On Site
USD 149,000.00 - 165,500.00 per year
Full Time
Skills
Machine Learning Operations (ML Ops)
Collaboration
Machine Learning (ML)
Design of experiments
Operations research
Product development
Data Analysis
Statistics
Programming languages
Geospatial analysis
Data
Algorithms
Pivotal
Backbone.js
Pricing
Innovation
Optimization
Metrics
Roadmaps
Presentations
Leadership
Research
Testing
Python
Apache Spark
SQL
Java
Communication
Documentation
Prototyping
Law
Legal
Job Details
About the Team
The Uber Maps team is at the forefront of advancing Uber's geospatial technologies, crucial for driving the efficiency and reliability of Uber services. We work across a diverse array of problem domains, including: curating and improving precision of location (i.e. 'Places') data, developing cutting-edge location search algorithms for each Rides pickup/dropoff and Eats delivery, building base maps and correcting map errors, as well as optimizing routes and travel time predictions, and more. These pivotal technologies are the backbone of every decision made in our marketplace, influencing dispatch and pricing strategies directly.
If you're passionate about driving innovation and have relevant experiences in tech or marketplace settings, we sincerely welcome you to join our team and shape the future of Uber's geospatial technologies together.
You can learn more about our team through:
We are looking for applied scientists who thrive in solving complex, large-scale challenges to advance Uber's geospatial capabilities. Our ideal candidates are professionals with substantial hands-on experience from the tech industry, with solid knowledge in machine learning, statistics, experimental design, and/or operations research. Experiences with solving multi-sided marketplace problems is a plus.
In this role, you will apply your expertise to a variety of critical tasks, including
For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 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 .
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 .
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.
The Uber Maps team is at the forefront of advancing Uber's geospatial technologies, crucial for driving the efficiency and reliability of Uber services. We work across a diverse array of problem domains, including: curating and improving precision of location (i.e. 'Places') data, developing cutting-edge location search algorithms for each Rides pickup/dropoff and Eats delivery, building base maps and correcting map errors, as well as optimizing routes and travel time predictions, and more. These pivotal technologies are the backbone of every decision made in our marketplace, influencing dispatch and pricing strategies directly.
If you're passionate about driving innovation and have relevant experiences in tech or marketplace settings, we sincerely welcome you to join our team and shape the future of Uber's geospatial technologies together.
You can learn more about our team through:
We are looking for applied scientists who thrive in solving complex, large-scale challenges to advance Uber's geospatial capabilities. Our ideal candidates are professionals with substantial hands-on experience from the tech industry, with solid knowledge in machine learning, statistics, experimental design, and/or operations research. Experiences with solving multi-sided marketplace problems is a plus.
In this role, you will apply your expertise to a variety of critical tasks, including
- Developing models to address ambiguous challenges using statistical, machine learning, and optimization techniques.
- Collaborating closely with product development teams to prototype and productionize models, enhance data observability and metrics, and conduct experiments.
- Driving team roadmap and vision through identifying opportunities and building data-driven solutions.
- Delivering insightful presentations on models, solutions, and data analytics findings to stakeholders and leadership.
- M.S.'s degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.
- 2+ years of industry experiences an Applied Scientist or equivalent (waived1+ if holding an Ph.D. degree in a related quantitative field)
- Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
- Experience in experimental design and analysis.
- Proficiency using Python, Spark at scale with large data sets.
- Experience with tools like SQL, Rk in a production environment
- Experience working in a marketplace environment within the technology industry
- Ph.D. Degree in Statistics, Machine Learning, Operations Research, or other quantitative field
- Experience in tech or marketplace industries
- Proficiency in programming languages including Java and Go.
- Professional communication skills through documentation and presentations.
- Experienced in partnering with cross-functional stakeholders to execute decisions.
- Industry experience in algorithm development and prototyping.
For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 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 .
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 .
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.