About the RoleThe Scaled Solutions Tech org at Uber is seeking a highly experienced Staff Software Engineer to join our team in India. As a leader in full-stack development, you will architect and build scalable, high-performance systems that drive Ubers core business functions. You will play a crucial role in designing and implementing both backend and frontend solutions while integrating complex data workflows. Your expertise will directly influence the strategic direction of our technology stack, enabling Uber to innovate and deliver exceptional user experiences. This role provides an opportunity to make a significant impact on the companys technological advancements and operational efficiencies.What you'll do:Architect, design, and develop robust backend services and scalable APIs.Lead the development and optimization of frontend applications using modern JavaScript frameworks.Oversee the integration of complex data workflows and ETL pipelines.Ensure the scalability, performance, and reliability of software applications.Conduct code reviews, design discussions, and technical mentorship.Collaborate with cross-functional teams to deliver comprehensive, end-to-end solutions.Stay current with emerging technologies and industry trends to drive innovation.Troubleshoot and resolve critical issues in production and development environments.Provide strategic technical leadership to influence the direction of Ubers technology stack.Develop and maintain comprehensive documentation for software projects and processes.What you'll need:10+ years of experience in full-stack software development.Expert proficiency in backend technologies such as Java, Python, Node.js, or Go.Extensive experience with frontend frameworks like React, Angular, or Vue.js.Deep understanding of database technologies, including SQL and NoSQL databases.Strong knowledge of data engineering principles and ETL processesProficiency with cloud platforms like AWS, GCP, or Azure.Experience with designing and developing RESTful APIs.Mastery of version control systems such as Git.Exceptional problem-solving skills and ability to lead collaborative teams.Excellent communication skills, both verbal and written.

About the RoleWe are looking for exceptional engineers to build systems for our very own employees and our customers. Our mission is to enhance Ubers corporate speed, reliability and worker happiness by building products, integrations and platforms. You will work closely with a highly capable team of engineers, data scientists, designers and product managers to ensure Uber's internal products and platforms are a powerful and innovative business advantage. The uSearch team is a part of BizTech that builds scalable, reliable, near realtime and robust enterprise integrations of a plethora of applications and services we build and use at Uber.What You'll do:Apply leading Models to solve business problemsUse models from GPT-* to LLama-* to solve wide range of business problems from sales tech, employee productivity, coding and automationBuild RAG frameworksBuild Langchain modulesModel Development and Implementation:Design, develop, and deploy machine learning models to solve complex problems and improve user experiences, operational efficiency, or system performance.Utilize a variety of data sources, types, and structures to extract actionable insights through predictive analytics and data mining techniques.Research and Innovation:Stay abreast of the latest developments in the field of machine learning and artificial intelligence. Evaluate emerging trends and technologies for potential adoption to maintain and expand competitive advantage.Lead research initiatives that test new algorithms, evaluate new methodologies, and explore innovative uses of data that can lead to scalable solutions.Team Leadership and Development:Lead and mentor a team of machine learning engineers and data scientists. Ensure the continuous professional growth of team members through clear goal-setting, regular feedback, and development opportunities.Foster a collaborative and inclusive team environment that encourages innovation and iterative learning.Cross-Functional Collaboration:Work closely with product management, software engineering, and data engineering teams to integrate machine learning models into larger software systems and product offerings.Partner with stakeholders across the organization to understand business needs and translate them into technical requirements and actionable machine learning projects.Project Management:Oversee the full project lifecycle for multiple machine learning initiatives, from ideation and data collection to model development and deployment.Manage resources, timelines, and risks effectively, ensuring that projects meet their objectives and are delivered on schedule.Performance Monitoring and Model Optimization:Continuously monitor the performance of deployed models, identifying opportunities for improvement and optimization.Implement robust testing and validation strategies to ensure model accuracy and reliability over time.What You'll Need:Experience in applying Gen-AI/LLM in productionManaged at least a team 4+ engineers for end-to-end deliverables, for more than 2 yearsEducation: Bachelor's degree in Computer Science, Engineering, or a closely related field. Advanced degrees (Masters or PhD) in fields that emphasize software engineering or machine learning are preferred.Professional Experience: At least 8 years of experience in software development with a proven track record in both software engineering and research or applied machine learning projects.Technical Expertise:Expertise in programming using languages such as Python, Java, C++, or Scala.Proficient with modern software engineering tools and methodologies (e.g., version control, CI/CD, agile development practices).Extensive experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras.Data Proficiency:Strong capabilities in handling large datasets, with skills in SQL, NoSQL databases, data modeling, and ETL processes.Experience designing and implementing systems that collect, manage, and convert raw data into actionable insights through machine learning models.Machine Learning Application Experience:Solid foundation in applying machine learning algorithms to real-world problems, optimizing algorithms for scalability and performance.Hands-on experience in building, scaling, and maintaining production-level machine learning models.

About the RoleWe are looking for exceptional engineers to build systems for our very own employees and our customers. Our mission is to enhance Ubers corporate speed, reliability and worker happiness by building products, integrations and platforms. You will work closely with a highly capable team of engineers, data scientists, designers and product managers to ensure Uber's internal products and platforms are a powerful and innovative business advantage. The uSearch team is a part of BizTech that builds scalable, reliable, near realtime and robust enterprise integrations of a plethora of applications and services we build and use at Uber.What You'll Do:Apply leading Models to solve business problemsUse models from GPT-* to LLama-* to solve wide range of business problems from sales tech, employee productivity, coding and automationBuild RAG frameworksBuild Langchain modulesModel Development and Implementation:Design, develop, and deploy machine learning models to solve complex problems and improve user experiences, operational efficiency, or system performance.Utilize a variety of data sources, types, and structures to extract actionable insights through predictive analytics and data mining techniques.Research and Innovation:Stay abreast of the latest developments in the field of machine learning and artificial intelligence. Evaluate emerging trends and technologies for potential adoption to maintain and expand competitive advantage.Lead research initiatives that test new algorithms, evaluate new methodologies, and explore innovative uses of data that can lead to scalable solutions.Team Leadership and Development:Lead and mentor a team of machine learning engineers and data scientists. Ensure the continuous professional growth of team members through clear goal-setting, regular feedback, and development opportunities.Foster a collaborative and inclusive team environment that encourages innovation and iterative learning.Cross-Functional Collaboration:Work closely with product management, software engineering, and data engineering teams to integrate machine learning models into larger software systems and product offerings.Partner with stakeholders across the organization to understand business needs and translate them into technical requirements and actionable machine learning projects.Project Management:Oversee the full project lifecycle for multiple machine learning initiatives, from ideation and data collection to model development and deployment.Manage resources, timelines, and risks effectively, ensuring that projects meet their objectives and are delivered on schedule.Performance Monitoring and Model Optimization:Continuously monitor the performance of deployed models, identifying opportunities for improvement and optimization.Implement robust testing and validation strategies to ensure model accuracy and reliability over time.What You'll Need:Experience in applying Gen-AI/LLM in productionEducation: Bachelor's degree in Computer Science, Engineering, or a closely related field. Advanced degrees (Masters or PhD) in fields that emphasize software engineering or machine learning are preferred.Professional Experience: At least 7 years of experience in software development with a proven track record in both software engineering and research or applied machine learning projects.Technical Expertise:Expertise in programming using languages such as Python, Java, C++, or Scala.Proficient with modern software engineering tools and methodologies (e.g., version control, CI/CD, agile development practices).Extensive experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras.Data Proficiency:Strong capabilities in handling large datasets, with skills in SQL, NoSQL databases, data modeling, and ETL processes.Experience designing and implementing systems that collect, manage, and convert raw data into actionable insights through machine learning models.Machine Learning Application Experience:Solid foundation in applying machine learning algorithms to real-world problems, optimizing algorithms for scalability and performance.Hands-on experience in building, scaling, and maintaining production-level machine learning models.

About the RoleAs a Senior Product Manager for B2B Partner Growth for , you will be building one of Ubers fastest growing independent lines of business that provides small to large enterprise businesses around the world with access to Ubers best in class logistics network so they can offer on-demand local delivery to their customers.You will be responsible for the product strategy and end-to-end product experience for our business customers including setting the growth strategy for acquiring business of all sizes globally to use Uber Direct and ensuring a high quality, delightful and frictionless experience using our delivery service. You will work with a broad set of cross-functional stakeholders across business development, sales, account management, operations, data science, design, engineering, partner engineering and more.---- What the Candidate Will Do ----The Uber Direct world is vast, and we are only just getting started. This is a representative sampling of the areas you might be tackling on the team:Empower any business from a small business to the largest global enterprise businesses to sign-up and onboard and create their first Direct trips as frictionlessly as possibleBuild an outstanding developer platform to enable seamless integration for businesses of all types including merchants, aggregators and middleware players, e-commerce platforms and B2C and C2C marketplacesBuild a seamless end-to-end product experience post-onboarding including delivery management, pricing, billing, reporting, account management, support, fraud and moreCreate a sustainable and differentiated end customer offering that Uber Direct a ubiquitous product anyone can access when shopping on their favorite sites---- Basic Qualifications ----Minimum 5+ years of product experience delivering successful and innovative products with your fingerprints all over themTechnical savviness. Can manifest in different ways: a computer science undergraduate degree, hands-on software engineering experience, or experiences building sophisticated software products side by side with engineers. Technical understanding to go from the highest abstractions down to the metalAttention to detail. The ability to obsess over every single part of the delivery process, anywhere in the worldCustomer obsession. The ability to take on complex product challenges and find elegant, simplifying solutions, so they dont become our users problemsFinger-tippiness with data. You find a way to get the data you need and whip it into an insightful story with no help. You know how to demonstrate this data to make decisions without getting stuck in analysis paralysisA high bar across the board -- from your own contributions to the people you work with, to the products you work onA true passion for Uber's mission, our products, and the company's hybrid technology/operations natureA never-ending desire to grow and learn---- Preferred Qualifications ----Experience building products from 0-1Minimum 2+ years of B2B product experience including sign-up onboarding, integrations, developer platform, complex entity structures and architectureOwning and leading strategy for lines of business

About the RoleSolution Architect at Business Technology Engineering, People Technology, will be responsible for shaping and delivering stellar cloud solutions on Oracle HCM Cloud Applications. This role involves collaborating with Product Managers, business stakeholders to help drive solution definition, gain confidence from stakeholders, and then help deliver the solution working alongside other application developers and Engineers.This role serves as SME for Core HR, Payroll, Time & Absence, Talent Management functional areas within Oracle HCM Cloud, responsible to lead solution design, configuring, and implementing Oracle HCM Cloud solutions to support and enable the business with considerations towards best architecture practices, efficiency, scalability, and supportability.This role will be part of the Global People Technology team consisting of engineering managers, solution architects, program managers, Application Developers, Data & Integration Engineers, and Software Engineers.What You'll Do:Advise internal business stakeholders and product managers on HR technology enhancements and transformationBe the ambassador for ?architecture standards and guidelines; Ensure end-to-end solutions align with standards and guidelines.Create and maintain system architecture and solution documentation according to Uber standardsServe as the SME for Oracle HCM solution architecture, ensuring scalability and avoiding tech debtDiagnose problems and recommend appropriate solutions, and help faster decision-makingLead proof of concepts and document potential solutionsSpearhead solution Proof of concepts and documenting all potential solutions for a given problemCollaborate with enterprise, data, and application architects to advance long-term IT engineering strategyWork alongside application developers and engineers to contribute to deliveryProvide guidance and review throughout delivery phase to ensure solutions meet requirements and standardsStay up-to-date with Oracle HCM Cloud releases and continuously looks opportunities to improve tech solutions and landscapeSupport hiring processes for the team, help drive current and future team performanceBuild and leverage strategic relationships within the organization to navigate a complex matrix environmentDevelop and coach team members to excel in their roles.Work with global and remote teams and stakeholdersWhat You'll Need:8+ years of Oracle HCM Cloud implementation experience, with 5+ years as a solution architect and/or technical lead across across at least 2 to 3 Core HR, Payroll, Time & Absence, Talent Management functional areas within Oracle HCM CloudProven experience of delivering at least 2 end-to-end HR transformation projects on Oracle HCM cloudDeep knowledge of Oracle HCM cloud capabilities, configurability, and extensibility to meet complex requirementsStrong understanding of Oracle HCM Fusion Cloud implementation methodologies.Hands-on experience configuring and building solutions across multiple Oracle HCM Cloud functional areas.Excellent problem-solving skills for troubleshooting multi-platform technical issues.Bachelor's degree in Engineering, Computer Science, or a related field.Expertise in all phases of application development with ability to identify system dependencies as part of solution architecture.Strong communication and relationship-building skills.Experience using JIRA, Lucidchart, and other project management tools in the context of Agile deliveryBroad business and technology knowledge with awareness of HR technology industry trends.Skilled at managing conflicting demands and performing well in complex situations

As an EM, You will lead a dedicated group of engineers in building a best-in-class data solutions.WHAT YOU WOULD DOTeam Empowerment:Foster a collaborative, inclusive team culture that values creativity, diversity, and excellence.Empower your team to excel in their roles by providing mentorship, guidance, and professional development opportunities.ENGINEERING LEADERSHIP:Promote the culture of continuous improvement, emphasizing code reviews, design reviews, and knowledge sharing within the team.MULTI-FUNCTIONAL COLLABORATION:Collaborate with product managers, data teams, business, and customers to develop a vision and roadmap for the teamCollaborate with data scientists and other engineering teams to understand requirements and integrate different ad products into the data and reporting platformOPERATIONAL EXCELLENCE:Implement thorough Data Engg betst practices to ensure trust in the data platform. Robust mechanisms to detect issues and recover from failuresWe welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently! If you have the curiosity, passion, and collaborative spirit, work with us, and lets move the world forward, together.Offices continue to be central to collaboration and Ubers 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 encouraged to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and lets move the world forward, together.Offices continue to be central to collaboration and Ubers 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.*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .

About the RoleThe FinTech - Data Science team at Uber is looking for an experienced Data Scientist to join our data science team in Hyderabad, India and make significant contributions to ourmission to streamline and optimize Ubers Tax infrastructure & reporting. In this position, you will get an amazing opportunity to play a critical role in implementing/building a wide array of financial systems processing tax and related financial data. You will work closely with senior leaders in Product, Engineering, Compliance, Tax Operations and Data Science on fast moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities is a must for this role. Your performance is measured by the insights you give, effectiveness of communication, and the initiative to drive ideas and implement them into action.What the Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Work with tax operations, product, compliance, engineering, ops, accounting and other business stakeholders in mining and analyzing tax financial and entity-level data to extract key trends and insights.Investigate and resolve discrepancies in tax data, generate reports for external data sharing.Build effective visualizations to communicate data to key decision-makers. Be a trusted advisor to stakeholders cross-functionally.Build models to automate detection of anomalies/inconsistencies in tax data and resolve the same;Understand critical interdependencies across functions and divisions, and facilitate business decisions.Explore FinTech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies.Communicate your findings to cross-functional peers and management.Get a deep understanding about the Tax systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practice.---- Basic Qualifications ----M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitaxtive fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseBasic understanding of statistical methodsAbility and experience in extracting insights from data, and summarizing learnings / takeaways to cross-functional stakeholders.Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)---- Preferred Qualifications ----Experience with either Python or RExperience working on analytics in accounting, finance areasStrong communication and organization skillsAbility to multi-task while maintaining quality and detailBasic understanding of experimental design (such as A/B experiments) and statistical methodsDemonstrated aptitude toward data storytelling and root cause analysis using dataAbility to build models to detect anomalies and resolve financial imbalancesAbility to understand critical interdependencies across functions and divisions, as well as the short and long-term trade-offs of business decisions.

About the RoleThe mission of U4B Science is to help the team build and improve Uber's B2B products through data insights. We own complex projects from end-to-end, including exploratory analysis, experimentation, and measurement foundations for tracking how our products are doing. Candidates are expected to be technical and full-stack, covering everything from strategic product analysis to logging design and measurement.---- What You Will Do ----Generate product insights through analysis to influence decisions and what / how the team buildsDesign and analyze experiments to help the team learn, ship, and measure impactLead product measurement for the team, including metrics design, implementation, and goal settingScale data visibility and access through dashboards or other tools---- What You Will Need ----Coding with data (SQL, Python / R)Data visualizationStatistics and experimentation---- Preferred Qualifications ----Technology and product experienceMarketplace experimentationModeling or causal inference

About the RoleUber for Business (U4B) brings the utility and convenience of Uber to organizations. We build innovative products on top of Ubers rides and delivery platforms, including Uber Health and Vouchers, and are a key part of the companys next phase of growth. The U4B Science teams mission is to understand and improve U4B products through data insights. We own complex projects from end-to-end, including analysis and experimentation, and we are a full-stack team covering everything from strategic product analysis to data foundations.---- What You Will Do ----Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our businessDesign experiments and interpret the results to draw detailed and impactful conclusions.Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and EngineeringDevelop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.---- What You Will Need ----Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.5+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functionsExcellent understanding of statistical principles backed by an academic foundationExperience with SQL and either Python or R for data analysisProven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.Experience with dashboarding and data visualisation (i.e. Tableau, Mixpanel, Looker, or similar)---- Preferred Qualifications ----Significant experience in setting up and evaluating complex experiments, especially in marketplacesExperience in modeling or causal inference

About the RoleThe Security Engineering team at Uber is focused on making the production and corporate environments secure by default to provide industry-leading solutions for Uber's production services and infrastructure. We are looking for a Software Engineer to join our Enterprise Security team. This team is dedicated to protecting Ubers digital assets by designing and deploying secure architectures across enterprise applications. In this role, you'll leverage your software engineering skills to develop systems that enhance the security posture and elevate security standards. This is a unique opportunity to collaborate with both seasoned and emerging talent, make a tangible impact on Ubers security, and further refine your technical and security expertise.What the Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Design features and systems that solve problems related to enterprise application securityWrite clean, modular, and maintainable code.Deploy, configure, and manage a variety of enterprise security solutions, and the Enterprise Application Security Posture Management (SSPM) platform.---- Basic Qualifications ----Bachelors or Masters degree in Computer Science, Engineering, or related field.3+ years of experience in software engineeringStrong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++).Strong problem solving, service architecture, coding and code reviews skills---- Preferred Qualifications ----Experience building out integrations with open-source and vendor productsExperience with AI/ML technologies / frameworks and incorporating them into production systemsExperience with automation and scripting (e.g., Python, Bash) for security operations.

About the RoleUber Design teams are dedicated to not only functionality but also to creating joy and delight. Our work sparks opportunity and transforms the way the world moves. We design for people of all backgrounds and abilities across the globe.Uber is seeking a Design Manager II to lead and grow a team of designers in India focused on shaping the future of our Hailables, Vehicles, and Sustainability experiences. In this role, you will have the opportunity to impact how millions of Uber's Fleets, Drivers, and Couriers earn their livelihood while supporting Ubers global operations. Youll collaborate with engineers, data scientists, product managers, and some of the worlds best designers and researchers in a dynamic, fast-paced environment.As a Design Manager II, you will lead the creation and delivery of delightful, user-centric experiences for people worldwide.This role requires systems thinking, exceptional execution, >What the Candidate Will Need / Bonus Points---- What the Candidate Will Do ----You'll collaborate with design and cross-functional collaborators to help craft the vision and strategies behind some of the most important and exciting initiatives in the company.Set the bar high by knowing what quality looks like and how to help product teams ship at that quality with minimal impact on velocity.Hire and coach designers to become the collaborative glue that inspires product management and engineering while also developing their competencies at envisioning what could be.Be the voice of the customer and champion solving user problemsHelp designers develop a wide array of hard and soft skills based on their career goals and what the team needsRun design reviews, crits, sprints, and own some of your own projects.You should feel comfortable changing elevations quickly, from high-level critical thinking to evaluating research, interaction, and design execution.---- Basic Qualifications ----7+ years of Product Design experience3+ years of management experience, leading and growing product design teamsClear and effective written, verbal, and visual communication skillsExperience building products for mobile apps, tablets, and web interfaces---- Preferred Qualifications ----Demonstrate long-term thinking around strategic and business-focused activities.Will have shipped many successful software products with a significant impact on the user experience and business. 0-1 experience is a plus.Extensive experience conducting and/or collaborating with user research, product management and marketing, engineering, and data science to demonstrate their respective insightsWill have managed and mentored both junior and more senior product designers.Proven track record to provide thought leadership and guide a team towards achieving a common goal.Excellent communication and analytical skills.Experience in multi-sided marketplaces, AI, or autonomous vehicles is a plus.

About the RoleUber is changing the way people think about transportation. Not that long ago, we were just an app to request premium black cars in a few metropolitan areas. Now were a part of the logistical fabric of cities everywhere. Whether its a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.Were looking for engineers to join our team to help support the Tax & Compliance Team. Youll work with teams behind apps used by millions globally every day and be a part of the technical foundations of a new product.---- What the Candidate Will Do ----Work on distributed backend systems to support Tax & Compliance EngineeringBuild data processing pipelines to process large amount of data---- Basic Qualifications ----Technical strength with 2+ years of experience developing and shipping code for production systemsAbility to learn quickly on the go. We're looking for software engineers who thrive while learning new technologies and don't believe in one-size-fits-all solutions. You should be able to easily adapt to meet the needs of our massive growth and rapidly-evolving business environment.You have a strong command of a backend stack (eg. Golang, Java, Node.js, Python, etc) & optionally Data/Frontend StackDeep system design skills. You know how to build highly-scalable, robust, and fault-tolerant services that support our unique exponential growth requirements.---- Preferred Qualifications ----Bias toward action. You believe that speed and quality aren't mutually exclusive. You've shown good judgment about shipping as fast as possible while ensuring your products and platforms are built in a sustainable, responsible way--and you're comfortable making mistakes, provided you learn from them.Passion and energy. You bring infectious enthusiasm to all your endeavors. You always perform at your best and drive those around you to do the same. You see new challenges as an opportunity to contribute, make an impact, and grow.Strong collaboration in the way you develop and ownership of the systems and products you build.Pride in the code you write and have a strong sense of engineering craftsmanship

About the RoleAs a member of the GSS DAS PgM team, you will have the opportunity to drive the analysis behind various operations and product-related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in Program Managing multiple data-driven projects.---- What You Will Do ----Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globallyPerforming analytical deep dives to drive product/strategy road-mapBuild data products from scratch using tech stacks like GenAI, NLP, ML, DE, etcApply expertise in statistical analysis, data mining and visualization to own and deliver end to end analytical solution developmentTranslate analytical solution into actionable insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive wayMaintain and continue to raise the bar for quality/efficiency of analytical solution delivery across the teamFocus on long term improvements by building, maintaining, and documenting best practices within the team and seek continuous improvement opportunitiesLead vendor data analysts in project executionDo all that it takes to drive and deliver multiple analytical and data engineering projects to partner teams across Uber---- What You Will Need ----BA/BS/MS in Physics, Economics, Applied Math, Statistics, Engineering, OR, Computer Science, or any other quantitative fieldProficient in writing and understanding complex SQL queriesKnowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systemsStrong multi-tasking & project management skills, Keen sense of prioritization.Ability to thrive and deliver in an ambiguous environmentSelf-motivated and driven to deliver agreed results on-time.Good story-telling & articulation skills ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audienceStrong influence and relationship management skills; comfortable interacting across all levels of stakeholdersA minimum 2+ years experience in an analytics/DE delivery role---- Preferred Qualifications ----Programming background and expertise in solving a business problem using at least one of the following languages: Python, RDeep knowledge of NLP theory and an understanding of the latest innovations in Generative AIExperience with Big Data platforms like Spark, Hadoop, and their ecosystems (Hive, Pig)Experience working with large data sets and Hive databaseExperience of successfully managing small to medium-scale projects

---- What the Candidate Will Do ----Design, develop, and maintain frontend services, and trackability related to web events and analytics.Lead the development of new foundational capabilities in support of enabling our users to interact with, analyze, and derive insights from their data.Solve complex and challenging problems in the intersection between low latency, high correctness, and full determinism.Participate in code reviews, provide mentorship to junior team members, and enforce coding standards.Investigate, diagnose, and resolve software defects and issues, ensuring a high level of product quality.Contribute to the overall architecture and design of data ingestion frameworks---- Basic Qualifications ----Bachelor's or Master's degree in Computer Science or a related field.3+ years of professional experience software development experienceExperience working on systems operating at large scaleWe are looking for someone that like to think outside the box, has perseverance to not give up until the customer issue root cause is identified, can build bridges across all of the Uber as necessary with the goal of helping the end customer.Attention to detail, particularly around software engineering fundamentals, testing methodologies, and quality---- Preferred Qualifications ----We are looking for someone that like to think outside the box, has perseverance to not give up until the customer issue root cause is identified, can build bridges across all of the Uber as necessary with the goal of helping the end customer.Experience with adtech or growth platforms

About the RoleSenior Software Engineer at Uber plays a critical role in enhancing the engineering experience and maintaining high standards across the team(s). They serve as an escalation point for incident management, helping direct on-call rotations and refining incident response processes. Additionally, Senior Engineers contribute significantly to code and design review processes by providing high-quality feedback and advocating for and defining best practices and standards. They are recognized as multipliers, identifying and advocating for improved performance, efficiency, and reduced technical debt in software, systems, and processes across teams.Furthermore, these engineers lead efforts to promote training and documentation best practices within the team(s), including technical writing for engineers and user-oriented content. Their role involves collaboration with a broad range of stakeholders both internally and externally, raising the hiring bar, and consistently delivering on organizational goals through all lifecycle stages of engineering projects. This makes them pivotal in driving engineering excellence and influencing positive outcomes in Uber's ambitious projects.---- What You Will Do ----Senior Software Engineer at Uber plays a critical role in enhancing the engineering experience and maintaining high standards across the team(s). They serve as an escalation point for incident management, helping direct on-call rotations and refining incident response processes. Additionally, Senior Engineers contribute significantly to code and design review processes by providing high-quality feedback and advocating for and defining best practices and standards. They are recognized as multipliers, identifying and advocating for improved performance, efficiency, and reduced technical debt in software, systems, and processes across teams.Furthermore, these engineers lead efforts to promote training and documentation best practices within the team(s), including technical writing for engineers and user-oriented content. Their role involves collaboration with a broad range of stakeholders both internally and externally, raising the hiring bar, and consistently delivering on organizational goals through all lifecycle stages of engineering projects. This makes them pivotal in driving engineering excellence and influencing positive outcomes in Uber's ambitious projects.---- What You Will Need ----- Candidates must demonstrate the ability to solve business problems with simple and elegant designs and architectures. They should be adept at using software design principles and methods and understand the limitations of existing software solutions to build effective architectures that integrate with existing solutions.- Prospective engineers should have the ability to improve company and industry tools and best practices related to software architecture. They should identify and solve architectural gaps and reduce technical debt across teams.- At the Senior level, candidates are expected to have successfully delivered multiple projects from inception to production readiness. They should be directly responsible for one or more cross-team projects.- Solid foundations in computer science, including data structures, algorithms, and system design. Experience with multithreaded programming and memory management is crucial.- Strong capability in analyzing system logs and debugging complex software systems is essential.---- Preferred Qualifications ----- Candidates with experience in environments with similar scale and complexity to Uber are preferred, as this demonstrates the ability to handle Ubers unique technical challenges.- Candidates who exhibit the ability to make intelligent bets on high-impact innovations and possess good judgment to fail fast when necessary will be highly valued.- Demonstrated ability to improve key metrics related to their previous projects or platforms significantly and consistently raising the hiring bar in interviews

About the RoleUber Eats makes it easy to get the food you love delivered. The Ads & Offers team plays a key role in helping customers discover new favorites and affordable dishes while supporting merchants in expanding their reach and building customer loyalty.As a Senior Product Designer on the Ads & Offers SMB Merchants team, you will craft intuitive ad and promotion tools that empower small and medium-sized businesses to thrive on Uber Eats. Youll focus on campaign creation, creative management, and performance analytics, making it seamless for SMBs to attract new customers and drive sales. Working across a global user base, your designs will directly impact local restaurants, grocery stores, and brands, helping them attract customers and build loyalty.What the Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Own design problems from beginning to end, from the initial concept through to shipping and beyondCreate wireframes, visual designs, and prototypes to address complex UX problemsDesign systems to create simple, elegant experiencesCollaborate with product to define requirements, not just translate them into designIdentify future opportunities and work as a key thought partner with your counterparts in product, engineering, and operationsPartner with our UX research team to better understand our customers' needs---- Basic Qualifications ----4+ years of product design experienceA portfolio showcasing high-quality designs and problem-solving abilityStrong written and verbal communication skillsExcellent presentation and storytelling skillsAbility to manage stakeholders, requirements, and deliverables independently---- Preferred Qualifications ----Experience working on consumer facing marketplaces, commerce, or ads ecosystemExperience in leading product design for complex systems, enterprise tools or data-rich or workflow-heavy productsExperience working on a global product

About the RoleSenior Software Engineer at Uber plays a critical role in enhancing the engineering experience and maintaining high standards across the team(s). They serve as an escalation point for incident management, helping direct on-call rotations and refining incident response processes. Additionally, Senior Engineers contribute significantly to code and design review processes by providing high-quality feedback and advocating for and defining best practices and standards. They are recognized as multipliers, identifying and advocating for improved performance, efficiency, and reduced technical debt in software, systems, and processes across teams.Furthermore, these engineers lead efforts to promote training and documentation best practices within the team(s), including technical writing for engineers and user-oriented content. Their role involves collaboration with a broad range of stakeholders both internally and externally, raising the hiring bar, and consistently delivering on organizational goals through all lifecycle stages of engineering projects. This makes them pivotal in driving engineering excellence and influencing positive outcomes in Uber's ambitious projects.---- What the Candidate Will Do ----- Sr Engineers at Uber leads complex engineering projects through all lifecycle stages, from idea inception to production. They define technical directions and make key tradeoff decisions that balance priorities.- They build strategic relationships with stakeholders like product managers, designers, and operations representatives to align and deliver on organizational goals, both within their team and across different teams.- Senior engineers embrace and promote Uber's cultural values. They are instrumental in defining and fostering the engineering and people culture within their teams.- They actively recruit, onboard, and mentor engineers, consistently raising the hiring bar and enhancing interviewing skills to attract top talent.- These engineers set high standards in code and design reviews, soliciting and providing feedback that optimizes both. They define, evangelize, and lead the adoption of best practices across teams.- Senior engineers identify opportunities to improve performance, efficiency, and reduce technical debt both within their team and across multiple teams. They solve business problems using advanced software design principles and architecture suited to Uber's needs.- They represent the organisation and its engineering teams in broader internal and external technical communities, helping shape the technical landscape at Uber and beyond---- Basic Qualifications ----- Candidates must demonstrate the ability to solve business problems with simple and elegant designs and architectures. They should be adept at using software design principles and methods and understand the limitations of existing software solutions to build effective architectures that integrate with existing solutions.- Prospective engineers should have the ability to improve company and industry tools and best practices related to software architecture. They should identify and solve architectural gaps and reduce technical debt across teams.- At the Senior level, candidates are expected to have successfully delivered multiple projects from inception to production readiness. They should be directly responsible for one or more cross-team projects.- Solid foundations in computer science, including data structures, algorithms, and system design. Experience with multithreaded programming and memory management is crucial.- Strong capability in analyzing system logs and debugging complex software systems is essential.---- Preferred Qualifications ----- Candidates with experience in environments with similar scale and complexity to Uber are preferred, as this demonstrates the ability to handle Ubers unique technical challenges.- Candidates who exhibit the ability to make intelligent bets on high-impact innovations and possess good judgment to fail fast when necessary will be highly valued.- Demonstrated ability to improve key metrics related to their previous projects or platforms significantly and consistently raising the hiring bar in interviews

About the RoleWe are seeking a Senior IAM Operations Engineer to enhance security, streamline identity lifecycle management, and improve access governance. This role will also focus modernization of Operations by leveraging AI/ML-based toolings to optimize identity analytics, support identity threat detection, and patternize recurring end-user issues by building durable operational toolings. The ideal candidate will have strong experience in IAM Operations, security automation, and AI-powered identity intelligence while ensuring compliance with security policies and industry regulations to ensure high operational SLAs are met for Uber global workforceWhat the Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Lead the administration, monitoring, and optimization of IAM platforms, ensuring secure user access and identity governance.Manage Single Sign-On (SSO), Multi-Factor Authentication (MFA), and Privileged Access Management (PAM) solutions.Maintain and optimize IAM infrastructure, including SSO, MFA, PAM, Sailpoint IIQ and directory services (Active Directory, Azure AD, Okta, etc.).Design, implement, and manage Cloud IAM solutions across AWS IAM, Azure AD, Oracle Cloud and Google Cloud IAM.Develop and enhance IAM automation using PowerShell, Python, Java, and API integrations.Implement AI-powered identity analytics to detect anomalies, automate risk-based access decisions, and reduce manual intervention.Implement AI-powered identity analytics to detect anomalies, automate risk-based access decisions, and reduce manual intervention.Enforce Zero Trust Architecture (ZTA) and Least Privilege Access (LPA) security models.Implement AI-driven identity threat detection and behavioral analytics for real-time anomaly detection and risk-based authentication.Automate user provisioning, de-provisioning, access reviews, and role management using AI/ML-based identity governance solutions.Integrate IAM workflows with RPA (Robotic Process Automation) tools and AI-driven decision engines to improve efficiency.Utilize AI-driven security insights to monitor, detect, and respond to identity-based threats.Implement automated incident response playbooks to remediate IAM-related security incidents.Work closely with IT, Security, Core Engineering, and Compliance teams to align IAM strategies with business needs.Lead IAM-related projects, including AI-driven IAM modernization initiatives.Provide mentorship and technical leadership to junior IAM engineers and security teams.Ensure compliance with SOX, GDPR, HIPAA, PCI-DSS, NIST, and ISO 27001 by integrating AI for risk-based access control and governance.Optimize IAM workflows using AI-powered automation tools to enhance efficiency and security.Build dashboards to track and gather metrics using Tableau, Jira, and Google Data Studio.---- Basic Qualifications ----Bachelors/Masters degree in Cybersecurity, Computer Science, a related field, or equivalent experience.6+ years of experience in IAM operations, security administration, or automation.Strong expertise in IAM platforms such as SailPoint, Okta, Microsoft Azure AD, AWS IAM, Google IAM, Oracle Cloud IAM.Experience in AI-driven IAM analytics, risk-based authentication, and user behavior analytics (UBA).Proficiency in automation and scripting (Python, PowerShell, Bash, Java, REST APIs, Terraform).Hands-on experience with AI/ML-based security tools for identity threat detection and access management.Strong understanding of authentication protocols (SAML, OAuth, OIDC, LDAP, Kerberos, RADIUS).Experience with SIEM, SOAR, RPA, and AI-driven IAM automation.Familiarity with regulatory compliance standards and IAM security frameworks.Strong problem-solving, analytical, and leadership skills.---- Preferred Qualifications ----Microsoft Certified: Security, Compliance, and Identity FundamentalsOkta Certified ProfessionalSailPoint Certified IdentityNow Engineer

About the RoleDeveloper productivity and product quality are two key investment areas for Uber. This senior staff engineer role involves focusing on improving feature velocity productivity through various verification techniques specifically improving our defense-in-depth testing strategy . In addition to direct engineering work, youll be expected to prescribe company-wide tooling or process changes to the development / release / deployment flow to increase efficiency and product quality.You will help delight our engineering teams, and enable the whole engineering organization to iterate rapidly. The ideal candidate will be a thought leader influencing investments across the organization, including investments in (but not limited to):Appropriately leveraging advanced technologies (static analysis, ML and GenAI) to our test infrastructureInner-loop process improvements (build / test / run)If you enjoy enabling other engineers to be productive, discussing anything from developer tools to kernels, you measure the success of your projects in nines, and want to have a direct impact on all developers Uber-wide, we would like to talk to you!What You'll do:Partner with fellow engineers to innovate, architect, develop and scale Uber's mobile testing and release process, testing infrastructure and toolingsProvide initiative and technical leadership to build reliable, high-quality solutions that scale with Uber's engineering processes.Deliver and review technical design, code and documentation.Drive ongoing efficiency and reliability improvements through design and automation: availability, performance, scaling, monitoring and capacity.Set technical directions and build roadmap for mobile testing infrastructure and toolingsManage upstream and downstream dependencies, collaborate with other engineering teams, capture requirements and enable successful adoption of development tools and best practices.Solve sophisticated technical challenges involving multiple technology stacksMentor and support your fellow teammates.What You'll need:BS, MS or PhD degree in computer science, similar technical field of study or equivalent practical experience12+ years professional software development experience, 5+ years of tech lead experience for multiple engineering podsA strong ability to architect and design robust, high-scale systems and to challenge engineers to think bigger and more generically in developing their solutionsExperience in developer tooling and developer productivityDemonstrated experience using metrics to measure and improve product quality, as well as the quality of verification systemsPreferred Qualifications:Experience in building testing infrastructure, production monitoring and debugging toolsExperience in leveraging Generative AI and Machine Learning to improve software quality and engineering productivityExperience in both backend and mobile developmentExperience working with teams spanning geographic locations and time-zones

About the RoleAs part of our tech transformation and go external approach in the space of AI and ML within GSS (Global Scaled Solutions) Org, we are looking for a Senior Program Manager Tech who will help scale the existing AI evaluations training and bench marking to the next level by establishing best practises, mentor and coach, tech transform, define quality, collaborate with other teams to deliver world class experience for the stakeholders.---- What You Will Do ----Primary domain responsibility is AI Engineering, specifically evaluations and fine tuning for coding.Ability to manage multiple streams and clients related to prompt engineering and evaluations.Ability to disambiguate, scope the work, establish success, quality and evaluation criteria for the team.Templatize the work so it can be replicated across streams and clients.Ability to influence and motivate the team to think out of the boxAbstract and build tooling and efficiencies to improve the process.Strong program management skills - Stakeholder management, risk management, team building, program tracking and reportingStrong problem solving skills - process, governance and toolingCoach, mentor, support and groom various pocs managing multiple streams of work.Brings maturity in terms of process, people management, Tech domain aptitude, problem solving and delivery---- What You Will Need ----Overall 8+ years of experience with at least3-4 years of software engineering experience, frontend/backend,3+ years of program management experience.People management experience is bonus---- Preferred Qualifications ----Having worked in hyper scale and/or startup like environmentTech and problem solving skillsIdentify code quality (don't have to write but able to read and judge)Templates and tooling for process and efficiencySoftware Engineering hands on experienceExposure to AI Engineering or ML is preferred

About the RoleThe Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.---- What the Candidate Will Do ----Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our businessDeliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide.Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketingDesign experiments and interpret the results to draw detailed and impactful conclusions.Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.Present findings to senior leadership to drive business decisions---- Basic Qualifications ----Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functionsKnowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analyticsHands-on experience building and deployment ML modelsAbility to use a language like Python or R to work efficiently at scale with large data setsSignificant experience in setting up and evaluation of complex experimentsExperience with exploratory data analysis, statistical analysis and testing, and model developmentKnowledge in modern machine learning techniques applicable to marketplace, platformsProficiency in technologies in one or more of the following: SQL, Spark, Hadoop---- Preferred Qualifications ----Advanced SQL expertiseProven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.Proven aptitude toward Data Storytelling and Root Cause Analysis using dataAdvanced understanding of statistics, causal inference, and machine learningExperience designing and analyzing large scale online experimentsAbility to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detailAbility to work in a self-guided mannerAbility to mentor, coach and develop junior team membersSuperb communication and organisation skills