Uber

A leading technology company is seeking a Senior Software Engineer to lead technical direction and platform architecture for AI solutions. The role involves designing scalable backend infrastructures that integrate human expertise and machine learning for high-quality datasets. Ideal candidates have strong software engineering backgrounds, particularly in Java, Go, Python, or C++, and are comfortable with system design. This position offers a competitive salary range of $198,000 to $220,000 annually, with additional benefits and bonuses.

A leading technology company is seeking a candidate to lead program delivery and client engagement within AI training and evaluations. The role involves engaging clients, managing program delivery, and collaborating with supply teams for sourcing skilled workers. The ideal candidate has 7+ years of experience in software or ML engineering, strong client interaction skills, and the ability to drive innovation in AI solutions. Competitive salary range between $162,000 and $180,000 annually will be offered.

About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 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 this form-

About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 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 this form-

About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 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 this form-

About the Role At Uber, we're building a future where autonomous vehicles and human drivers seamlessly work together to make transportation more reliable, affordable, sustainable, and safer. Our vision is one of a hybrid future, with AVs operating alongside drivers and couriers, each bringing their unique capabilities to the table. As the largest on-demand mobility and delivery platform in the world, with our deep expertise in marketplace management, fleet utilization, and local operations - Uber is uniquely positioned to help AV companies deploy and scale their technology globally. What the Candidate Will Do Deeply Understand Users: dive deep into user archetypes and how they interact with autonomous delivery form factors Define the Product Vision: Own the product roadmap for the Eater-facing autonomous delivery lifecycle, including discovery, education, tracking, and the physical handoff Build Trust Through UX: Design intuitive experiences that meld robotic capabilities with Eater expectations Handle the Unexpected: Architect resilient "unhappy paths" and recovery flows which ensure that, when something goes wrong, consumers have a path to make things right. Cross-Functional Leadership: Serve as the connector between the Engineering, Design, Operations, and external AV Partner teams. Basic Qualifications Minimum 6+ years of product management experience, with a track record of shipping consumer-facing mobile products. User-Centricity: Deep empathy for the user and experience working closely with Product Designers to solve complex UI/UX interactions. Technical Fluency: Ability to discuss API constraints, hardware-software integration, and latency issues with engineering teams and external Partners. You don't need to be a roboticist, but you must be able to speak their language. Strategic Execution: Proven ability to break down ambiguous problems into actionable milestones and ship them while working with numerous cross-functional teams. Data-Driven: Experience using data to drive product prioritization, setting success metrics, and iterating based on results. Preferred Qualifications Prior experience in robotics or autonomous vehicles Strong understanding of multi-sided marketplaces Ability to iterate quickly, test hypotheses, be incorrect, and adapt based on results A strong consumer intuition where your best guess proves to be correct much more often than not For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 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 this form-

A leading mobility technology company is seeking a Senior Staff Software Engineer to architect growth strategies utilizing autonomous vehicles in San Francisco. The role demands 8+ years of software engineering experience focusing on product-driven development, showcasing a track record of launching new products. Key responsibilities include leading technical discovery, optimizing marketplace efficiencies, and designing frameworks for scaling. Competitive salary range is between $267,000 to $297,000, alongside participation in bonus programs and equity awards.

About The Role Uber is looking for a Senior Staff Engineer to lead the technical vision and execution for our Competitive Intelligence domain. This role operates at the intersection of core business strategy and market-level decision systems such as pricing, incentives, and marketplace configuration. The role spans both offensive and defensive workstreams, requiring a systems thinker who can operate across high-stakes ambiguity and deep technical complexity. On the offensive side, you will help derive meaningful, actionable insight from incomplete, noisy, and often unreliable data sources to better understand market dynamics, competitor behavior, and pricing strategy. You will build systems that extract signal from chaos, integrating low-trust external data into internal pricing and incentive systems, and shaping narratives that guide Uber's most strategic decisions. On the defensive front, you will oversee the architecture and technical leadership needed to prevent scraping and data abuse, protecting the integrity of the platform and preserving the value of Uber's proprietary data. This includes work in adversarial machine learning, bot detection, and the design of resilient, real-time defenses at scale. This role offers the opportunity to define the direction of critical, high-impact systems that shape Uber's competitive edge, while mentoring engineers and partnering closely with senior leadership across product, engineering, data science, and security. What You Will Do Lead the design and development of systems that extract strategic insights from unreliable and fragmented market data. Architect and guide the implementation of real-time defenses against scraping and data abuse, including adversarial machine learning and bot detection to protect Uber's data and platform integrity at scale. Drive cross-functional initiatives by partnering with data science, security, product, and engineering teams to align technical solutions with business priorities and long-term strategy. Mentor senior engineers across multiple teams, providing technical direction, setting engineering standards, and fostering a culture of high-quality system design, experimentation, and resilience. Basic Qualifications Master's Degree or equivalent in Computer Science, Engineering, Mathematics or related field with 7+ years of software development experience. Proficiency in one of the programming languages (e.g., C, C++, Java, Python, or Go). Experience driving large-scale system modernization, performance optimizations, and deployment safety improvements. Ability to lead large technical initiatives and drive cross-team collaboration across platform, security, and infrastructure teams. Preferred Qualifications Cybersecurity knowledge: understanding of web scraping techniques and countermeasures. Awareness of network security, HTTP protocols, and API security. Experience in modern machine learning algorithms (e.g., tree-based, supervised, deep, or probabilistic learning) and unsupervised learning techniques (e.g., clustering, anomaly detection, neural networks). Familiarity with machine learning libraries such as TensorFlow/PyTorch, Scikit-Learn, or Spark MLlib; understanding of feature engineering and dimensionality reduction. Understanding of causal ML and reinforcement learning; awareness of ethical considerations and regulatory compliance related to data privacy and machine learning. Note: For San Francisco, CA-based roles and Seattle, WA-based roles, the base salary range is USD 257,000 to USD 285,500 per year. All US locations include eligibility for Uber's bonus program, potential equity awards, and other compensation; benefits details are available at

About the Role Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked? If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace. We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us! About the Team Earners (drivers and couriers) are an integral part of Uber's multi sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere. Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting. Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience. What You'll Do Build statistical, optimization, and machine learning models Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend Optimize Uber's background check spend and onboarding funnel Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content Develop matching algorithms for driver to driver mentorship program Model and predict earner behaviors to improve earner experience throughout the onboarding funnel The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi armed bandits, genAI LLM to deep learning embeddings to build impactful data products. Work closely with multi functional leads to develop technical vision, new methodological approaches, and drive team direction. Collaborate with cross functional teams such as product, engineering, operations, and marketing to drive ML system development end to end from conceptualization to final product. Basic Qualifications PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field 4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling. Proficiency in multiple object oriented programming languages (e.g. Python, Go, Java, C++). Experience with any of the following: Spark, Hive, Kafka, Cassandra. Experience building and productionizing innovative end to end Machine Learning systems. Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design. Experience working with cross functional teams(product, science, product ops etc). Preferred Qualifications 5+ years of industry experience in machine learning, including building and deploying ML models. Publications at industry recognized ML conferences. Experience in modern deep learning architectures and probabilistic modeling. Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM. Expertise in the design and architecture of ML systems and workflows. 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. 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. 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 . For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 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.

About the Role As a Staff Security Engineer, you will be the lead architect for Uber's next-generation cloud security infrastructure. Operating at the intersection of Cloud Architecture and Applied AI, you will move beyond static controls to build a dynamic, autonomous security ecosystem across our multi-cloud estate, especially GCP and OCI. Your mission is to transform Cloud Security Posture Management (CSPM) from a reactive alerting system into a proactive, self-healing machine. You will spearhead the use of GenAI and AI Agent Orchestration to automate complex security reasoning-building intelligent agents that can independently analyze, prioritize, and remediate exploitable risks at scale. You will also provide security design solutions to support Uber's new business initiatives to ensure secure-by-design and compliance. What the Candidate Will Need / Bonus Points What the Candidate Will Do Strategic Architecture: Define the long-term roadmap for Identity-centric security and automated posture management for tens of thousands cloud users. AI Orchestration: Design and deploy Multi-Agent systems and RAG pipelines to automate the end-to-end security remediation lifecycle. Scaling Control: Implement "LLM-as-a-Judge" frameworks to ensure the safety and precision of autonomous security actions. Harden the Perimeter: Eliminate security hotspots and enforce secure-by-default baselines across all cloud platforms. Technical Leadership: Serve as a force-multiplier, mentoring engineers and bridging the gap between security research and production engineering. Basic Qualifications Multi-Cloud Expertise: 5+ years of experience in Cloud Security, with direct, hands-on experience architecting and securing Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). Security Posture Management: Expert-level understanding of CSPM frameworks, Deep knowledge of IAM, Network, vulnerability management (CVE reachability), and the automation of security baselines at scale. Backend Systems Engineering: Proven track record of building scalable distributed systems (Go, Python, or Java) and managing complex security pipelines in large-scale environments. Applied GenAI: Professional experience with LLM application development, including RAG patterns, vector databases, and AI Agent orchestration frameworks (e.g., LangChain, AutoGen). Preferred Qualifications Strategic Translation & Execution: Proven ability to translate complex business objectives and regulatory compliance requirements (e.g., SOX, GDPR, PCI) into high-level architectural designs and actionable technical roadmaps. You should have a track record of bridging the gap between legal/audit stakeholders and engineering execution. Security Innovation: Experience pioneering the use of emerging technologies to solve legacy security debt, specifically using AI/ML to automate compliance auditing or to perform predictive risk analysis. Cross-Functional Influence: A history of leading large-scale security transformations by influencing senior leadership and partnering with DevOps/Infrastructure teams to adopt "Security-as-Code" practices. CNAPP Proficiency: Extensive experience operationalizing Cloud-Native Application Protection Platforms (CNAPP) such as Wiz or Orca. Must be able to leverage these tools for deep visibility, risk prioritization (attack path analysis), and automated compliance monitoring. For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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 this form-

A leading technology company in San Francisco is looking for a talented Software Engineer to design, develop, and maintain backend services. You will collaborate with diverse teams, mentor junior engineers, and work on impactful projects that enhance user experiences. The ideal candidate has a degree in a related field and at least 3 years of backend development experience. This position offers a competitive salary, eligibility for bonuses, stock options, and comprehensive benefits.

About the Role Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products. About the Team (We are hiring for multiple teams) We are building the future of Uber's mobility and logistics platforms. As a software engineer, you will contribute to high-scale, strategically critical systems that impact millions of users and redefine the global transportation and membership landscape. Our teams drive innovation across critical areas including: Maps & Routing: Building the core technologies for location accuracy, sensor data processing, and state-of-the-art routing algorithms to power ETAs, navigation, and matching for all Uber products. Uber One Membership: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform. Delivery Marketplace: Delivery Marketplace is a central pillar of Uber's delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B - from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We're responsible for everything: from dispatch decisions, predicting food ready time, delivery times, and optimizing pickup times, to ensuring we deliver the most efficient and impactful solutions for Uber's most critical business goals Autonomous Mobility & Delivery (AM&D): Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats. What You'll Do Design, develop, andierz maintain robust and scalable software solutions previstas with product managers, cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to deployment Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements Participate in periodic on call rotations and be available for critical issues Basic Qualifications Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 1 year of full time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field Proficiency in at least one programming language such as Java, C++, Python, or Go 1 year of experience with backend development, building and delivering end user products. Preferred Qualifications Master's degree or higher in Computer Science, Engineering, Mathematics or related field More than 3 years of full time movies? Actually: 'More than 3 years of full time Software Engineering work experience' VH? Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services Experience working on scalable backend systems utilizing a microservices architecture High bar for quality as demonstrated by code reviews, documentation, unit and integration testing Experience with optimization techniques and algorithmic development Strong problem solving skills, with expertise in algorithms, data structures, Gespräch? Actually: 'Strong problem solving skills, with expertise in algorithms марказ, data structures, and complexity analysis' For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-basedач roles: The base salary range for this role is USD$171,000 per year - USD$190,000 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 this form-

About the Role The role will be within the pricing and incentives domain in Uber's marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, and dynamic trip pricing based on marketplace conditions. The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that directly impact Uber's global business. What You Will Do Lead the design and architecture of a high-performance infrastructure, prioritizing scalability, reliability, and efficiency. Collaborate with several cross-functional teams to define requirements and translate them into technical specifications. Optimize existing tech stack for efficiency, speed, and accuracy. Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement Basic Qualifications BS or MS in Computer Science or a related technical discipline, or equivalent experience. 8+ years of full-time engineering experience Highly proficient in one of the following programming languages: Python, Java, Go, C/C++ and ability to pick up new ones. Systematic problem-solving approach and knowledge of algorithms, data structures and complexity analysis. Preferred Qualifications 5+ years of experience building and managing distributed systems. Experience building an Observability or Metrics system. Experience integrating end-to-end ML models at scale. For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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'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. 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.

Senior Machine Learning Engineer - Ranking and Recommendations Join to apply for the Senior Machine Learning Engineer - Ranking and Recommendations role at Uber About The Role The Shopping Ranking Team mission is enabling eaters to effortlessly make shopping decisions and find what they need. We pursue this mission via an ML driven algorithmic approach, applying state of the art Machine Learning (ML), Optimization techniques to learn from massive datasets Uber has, and building a scalable and reliable shopping intelligence ranking and recommendation systems. What The Candidate Will Need / Bonus Points What the Candidate Will Do Design and build Machine Learning models in Ranking and Recommendation domain. Productionize and deploy these models for real world application. Review code and designs of teammates, providing constructive feedback. Collaborate with Product and cross functional teams to brainstorm new solutions and iterate on the product. Basic Qualifications Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full time engineering experience. 4+ years of ML experience and building ML models. Experience working with multiple multi functional teams (product, science, product ops, etc). Expertise in one or more object oriented programming languages (e.g., Python, Go, Java, C++). Experience with big data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, etc. Working knowledge of latest ML technologies and libraries, such as PyTorch, TensorFlow, Ray, etc. Proven track record of being a fast learner and go getter, with willingness to get out of the comfort zone. Preferred Qualifications Experience with building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility. Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact. Experience with design and architecture of ML systems and workflows. Experience owning and delivering a technically challenging, multi quarter project end to end. For all US locations, the base salary range for this role is USD$198,000 per year - USD$220,000 per year. You will be eligible to participate in Uber's bonus program, may be offered an equity award and other types of compensation, and you will also be eligible for various benefits. More details can be found at Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Internet Marketplace Platforms

About the Role The Ads Machine Learning (Ads ML) team at Uber is responsible for providing relevant ad recommendations to the users across the different applications within the Uber ecosystem. We focus on building a deep understanding of both user and merchant behavior to generate accurate ML signals that enhance the Ads auction system providing accurate pricing for our advertisers. Our goal is to maximize the benefits for both users and merchants within Uber's Ads distribution system. You will directly impact Uber's Ads systems by defining and executing the Ads ML roadmap, with a focus on enabling and accelerating large-scale improvements to our recommendation and auction systems. Developing relevant, robust, and observable ad recommendations is crucial to Uber's fast growing Ads Business strategy, making this a highly impactful role. What the Candidate Will Do Design and implement machine learning models and algorithms to optimize ad recommendations and auction mechanisms. Develop and maintain scalable ML pipelines and data infrastructure to support real-time and batch processing of large-scale datasets. Apply advanced statistical and machine learning techniques to generate insights and improve the effectiveness of ad targeting and delivery. Collaborate with data scientists and engineers to build and refine predictive models that enhance user engagement and merchant benefits. Conduct rigorous experimentation and A/B testing to validate model performance and iterate on improvements. Define success metrics and develop dashboards to monitor and visualize the performance of ML models in production. Work closely with cross-functional teams, including Product, Engineering, and Data Science, to translate business requirements into ML solutions. Mentor and provide technical guidance to junior ML engineers and data scientists. Stay up-to-date with the latest research and advancements in machine learning, recommendation systems, and ad auction techniques. Basic Qualifications Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Data Science, ML, Statistics, or other quantitative fields. Proven experience with designing and implementing machine learning models in production environments. Proficiency in using Python for developing ML models and handling large-scale data sets. Solid understanding of SQL and experience using it in a production environment. Strong grasp of Big Data architecture and experience with ETL frameworks and platforms. Hands on experience with building batch data pipelines using technologies like Spark or other map reduce frameworks. Expertise in experimental design and analysis, including A/B testing, exploratory data analysis, and statistical analysis. Experience with data visualization tools and creating insightful dashboards. Proficiency with methodologies such as sampling, statistical estimates, and descriptive statistics. Ability to synthesize complex data analyses into clear and actionable insights to influence product direction. Experience with recommendation systems. Fast learner with a passion for solving complex problems and asking thoughtful questions to ensure effective solutions. Strong communication skills to engage with technical, non technical, and executive audiences effectively. Commitment to seeking and providing timely feedback to drive continuous improvement. Preferred Qualifications 5 years of industry experience as an ML engineer or equivalent. Expertise in building sophisticated systems and knowledge of Hadoop-related technologies such as HDFS, Kafka, Hive, and Presto. Experience managing projects across large, ambiguous scopes and driving initiatives in a fast-moving, cross functional environment. Experience with enabling production scale and maintaining large ML models. Experience in one or more object oriented programming languages (e.g. Python, Go, Java, C++). Experience with REST APIs and Distributed Messaging / Kafka. Familiarity with recommendation systems and modern ad auction techniques. Experience with ad auctioning systems. Experience with state-of-the-art deep learning techniques. Advanced degree (Ph.D. or M.S.) in Data Science, ML, or related disciplines. For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 this form-

A leading technology company is seeking a Machine Learning Engineer in San Francisco, CA, to design and deploy scalable machine learning models that solve real-world business problems. The candidate will collaborate with cross-functional teams and mentor other engineers. Requirements include 3+ years in machine learning, proficiency in programming languages, and experience with ML algorithms. The salary range is between $202,000 and $224,000 annually, with additional incentives.

A leading tech company in San Francisco is looking for a Senior Staff Machine Learning Engineer to drive innovation in identity verification and fraud prevention. The successful candidate will leverage extensive experience in machine learning to design and implement robust ML solutions, collaborate with cross-functional teams, and ensure the seamless operation of ML models. This full-time mid-senior level position offers a competitive salary range of $257,000-$285,500 per year, alongside other benefits and participation in a bonus program.

Senior Staff Machine Learning Engineer - Trusted Identity at Uber About the Role We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber. The Trusted Identity org plays a crucial role in our mission to empower users with secure and seamless digital experiences by establishing industry-leading standards for identity verification, fraud prevention, and proactively safeguarding against the evolving landscape of AI driven fraud. Our continued obsession for innovation in this space is essential to ensure safety as people interact on Uber's platform. What the Candidate Will Do Work with product, data science, and engineering leadership to shape the technical roadmap and problem formulations for the team. Leverage algorithmic knowledge in machine learning, optimization, and statistics to design robust engineering solutions that positively impact Uber's business. Shape the MLE role and up level MLE talents in the organization. Be responsible for the end to end of the product-ML model pipeline & system design, implementation, A/B testing, and rollout; work with the team to productionize solutions at scale. Basic Qualifications 10+ years of industry experience developing machine learning models (both classical and deep learning) and shipping ML solutions to production. Master's degree in Computer Science, Engineering, Mathematics or related field. Strong problem solving skills, with expertise in ML methodologies. Experience applying ML, statistics, or optimization techniques to solve large scale real world problems. Industry experience in ML frameworks (e.g., TensorFlow, PyTorch, or JAX) and complex data pipelines; programming in Python, Spark SQL, Presto, Go, and Java. Preferred Qualifications Ph.D. degree in Computer Science, Engineering, Mathematics or related field. Familiarity with multi task learning, LLMs, and anomaly detection. Fraud domain knowledge. Compensation For New York, NY based roles: $257,000-$285,500 per year. For San Francisco, CA based roles: $257,000-$285,500 per year. For Seattle, WA based roles: $257,000-$285,500 per year. For Sunnyvale, CA based roles: $257,000-$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, may be offered an equity award & other types of compensation. You will also be eligible for various benefits. More details can be found at Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2 .

A leading tech company is looking for a Senior Machine Learning Engineer - Ranking and Recommendations to join their Shopping Ranking Team. In this role, you will design and build ML models, productionizing them for real-world applications while collaborating with cross-functional teams. Candidates should have a Bachelor's degree in a relevant field, plus at least 4 years of experience in ML and programming. The position offers a competitive salary range of $198,000 to $220,000 yearly along with additional benefits and bonuses.

A leading transportation technology company is seeking a Senior iOS Engineer to shape the AV rider journey from booking flows to real-time updates. This role involves leading iOS product development, mentoring junior engineers, and improving user experience through data-driven approaches. Ideal candidates will have over 5 years of iOS development experience, proficiency in Swift and UIKit, and a passion for impactful features. The position offers a competitive salary and participation in various benefits and bonus programs.