Über jobs in San Francisco, CA - 644 jobs

A leading transportation network company seeks a Senior HR Business Partner in San Francisco, CA. You will drive strategic and organizational effectiveness for Delivery Commercial Operations and Global Strategy & Planning. This role involves partnering with senior leaders, leveraging data-driven insights and implementing HR programs effectively. Applicants should have over 10 years of relevant experience and strong leadership development capabilities. The competitive salary range is between USD$186,000 and USD$207,000 annually, plus bonuses and benefits. #J-18808-Ljbffr

A global tech company is seeking a Senior Recruiting Manager to lead its early career talent strategy. This role focuses on hiring and developing interns and new college grads across various technical domains. Responsibilities include managing a team, working closely with business leaders, and defining measures of success for talent programs. Ideal candidates will have a strong background in Tech university hiring, excellent analytical skills, and proven communication abilities. The position is based in New York, offering a competitive salary and bonus eligibility. #J-18808-Ljbffr

About the Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. What You'll Do Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research. Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in‑class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 8+ years of industry experience in ML/AI. A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams. 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. #J-18808-Ljbffr

About the Role The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session. Surge plays a critical role in service of Uber's mission to make transport accessible. We generate billions of dollars in annual gross bookings for the company by optimizing network efficiency and make a significant contribution to driver earnings. In addition to pricing, the signals we generate are some of the most important features used in practically every optimization/ML system across Uber. Although we are a backend team, what we do has an outsized impact on our riders because prices and reliability are two of the most important elements of customer experience. What You'll Do You will work with a mixed team of Engineers, Operations Researchers, and Economists to build large-scale pricing optimization systems to set prices based on real-time marketplace conditions for Uber's rides products globally. Build and train machine learning models. Initiate new areas where machine learning models can make a large impact on the o Basic Qualifications PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning. 4+ years of experience in an ML role with an emphasis on data and experiment driven model development. Expertise in deep learning and optimization algorithms. Experience with ML frameworks such as PyTorch and TensorFlow. Experience building and productionizing innovative end-to-end Machine Learning systems. Proficiency in one or more coding languages such as Python, Java, Go, or C++. Strong communication skills and can work effectively with cross-functional partners. Strong sense of ownership and tenacity toward hard machine-learning projects. Preferred Qualifications Experience in serving and monitoring online training systems such as real time recommendation systems. Experience designing and implementing novel metrics for performance evaluation. Experience handling time series data and time series forecasting (experience handling spatial temporal data is plus). Deep understanding of models such as VAE (Variational Auto Encoder), SSM (State space model), and Normalizing Flow. Experience in inference optimization and monitoring model performance efficiency and being able to identify bottlenecks. Proven track record in conducting experiments and tracking models in high-complexity environments. 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 in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. #J-18808-Ljbffr

A leading mobility platform seeks a Data Analytics professional in San Francisco, California. In this role, you will provide data insights and manage reporting for advertisers, aiming to improve their performance. The ideal candidate should have over 4 years of experience in data analytics or related fields, proficiency in SQL and Python, and a Bachelor's degree in a quantitative subject. This position offers a competitive salary range of $135,000 - $150,000, alongside various benefits and bonus eligibility. #J-18808-Ljbffr

A global technology company in San Francisco seeks a Principal Engineer to lead the development of AI-driven developer tools. This senior role involves architecting long-term strategies, influencing cross-functional projects, and driving significant improvements in engineering efficiency. Candidates should have over 15 years of experience in software engineering, demonstrated technical leadership, and expertise in applying AI to enhance productivity. This role offers a competitive salary in a dynamic tech environment. #J-18808-Ljbffr

About the Role Uber's People & Places (P&P) team handles all things people-related so that our employees worldwide are empowered to do their best work. Our HR Business Partner (HRBP) organization partners closely with business leaders to enable their strategies, shape organizational effectiveness, and build high-performing teams. As a Senior HR Business Partner for Delivery Commercial Operations (DCO) and Global Strategy & Planning (S&P), you'll support two critical groups that power Uber Delivery: DCO drives sales operations, efficiency, and execution across global Delivery markets. S&P sets the strategic agenda, allocates resources, and measures performance to ensure Delivery wins in a competitive landscape. In this role, you'll be a trusted partner to senior leaders, helping them design and scale high-impact organizations that drive growth, efficiency, and strategic clarity across Uber's Delivery business worldwide. What You'll Do Strategic HR Partnership: Partner with DCO and S&P senior leaders to shape business strategy through a people lens, ensuring teams are structured, resourced, and led to deliver impact at scale. Organizational Design & Effectiveness: Drive org design discussions that enhance alignment between strategy and execution. Evaluate operating models, governance, and cross-functional interfaces to improve efficiency and decision-making. Leadership Development: Coach senior leaders and their teams, strengthen leadership pipelines, and design succession strategies to support Uber's long-term growth. Change Leadership: Guide leaders and employees through transformation, whether evolving sales ops models, centralizing processes, or shifting strategic focus. Anticipate global implications and ensure smooth adoption. Data-Driven Insights: Use people analytics and workforce data to diagnose organizational challenges, inform decision-making, and track progress against goals. Program Integration: Ensure HR programs (compensation, performance, talent development, etc.) are adopted effectively and tailored to the unique needs of DCO and S&P. Culture & Engagement: Champion Uber's cultural values and build engagement strategies that drive belonging, performance, and inclusion in highly analytical and execution-focused teams. Collaboration & Influence: Navigate a complex matrix of stakeholders across Delivery, P&P, and cross-functional partners. Influence outcomes and priorities without direct control of resources. Basic Qualifications 10+ years of either progressive HR or relevant business experience Preferred Qualifications Proven ability to influence at senior levels and drive alignment across diverse stakeholders in a fast-paced, complex environment. Strong decision-making skills with the ability to balance multiple perspectives, manage trade-offs, and align leaders to effective, principle-based outcomes. Deep business acumen with demonstrated experience translating organizational goals into impactful people strategies. Track record of driving organizational design, leadership development, and workforce planning at scale. Solid understanding of global HR programs and practices, including compensation, performance management, and leadership development. Strong analytical capabilities and comfort using data to inform decisions. Knowledge of employment laws and their application across global contexts. High emotional intelligence, cultural awareness, and interpersonal maturity with a global mindset. Excellent communication and presentation skills with the ability to distill complexity into clear, actionable insights. Experience in technology or platform businesses, ideally with a global scope and exposure to marketplace dynamics. For Chicago, IL-based roles: The base salary range for this role is USD$167,000 per year - USD$186,000 per year. For New York, NY-based roles: The base salary range for this role is USD$186,000 per year - USD$207,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$186,000 per year - USD$207,000 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 benefits information here. 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. #J-18808-Ljbffr

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The ideal candidate is someone who is passionate about customer experience and knows what it means to go above and beyond as an advocate for the Lyft community. You must be calm in the face of a storm, caring and compassionate, and able to have a strong sense of empathy in difficult situations. Our team consists of Customer Experience Associates supporting customers across chat, email and phone. Responsibilities: Create a personalized, positive and effortless experience for the Lyft community Provide friendly, timely support to Lyft drivers via chat, email and phone Troubleshoot user problems with the Lyft app Document all support contacts in a CRM system Make recommendations based on feature requests and bugs reported by users Be a community advocate for Lyft Experience: 1+ years experience in customer service, required. 1 + years experience in call center a plus, but not mandatory Computer proficiency required Friendly and enthusiastic, social personality Dependable and punctual with time management skills Strong writing skills and impeccable attention to detail Demonstrates empathy and the ability to take initiative on doing the right thing for the customer Advanced problem-solving skills with the ability to think creatively to resolve difficult situations Ability to quickly learn web -based user support applications Comfortable in a fast- paced environment, subject to rapid change and uncertainty Keen ability to work independently and in a team High level of comfort and familiarity with smartphone applications (iPhone and Android) Willingness to work a range of hours, weekends and holidays Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $20.77 - $25.34 per hour, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

**About the Role** Merchant Product Operations collaborates with operations, product, and other partners to strategize and deliver products that tackle our toughest operations problems on a global scale. You will work with our eligibility team to expand solutions for Merchants and our ops partners globally! **What the Candidate Will Need / Bonus Points** ---- What the Candidate Will Do ---- 1. Define the operating structure and processes to implement on product strategy 2. Lead a community of strategic leaders to encourage significant impact to the business 3. Maintain regular communications with key team members across the org 4. Ensure functional partners are aligned on key objectives for the program/product 5. Advise product teams on the global feasibility of products throughout the product life cycle 6. Develop an end-to-end product rollout plan, and project-manage implementation 7. Collaborate with key team members (legal, tax, policy, support, etc) to prepare products for launch 8. Track core business metrics related to the product 9. Identify key problem areas and/or geographies impacted by the product post-launch 10. Surface and advocate for key insights from the business to advise product improvement ---- Basic Qualifications ---- 1. Bachelors Degree 2. 3+ years experience in Program Management, operations, business consulting, finance or similar analytical role 3. Excellent communication, the ability to engage internal and external customers 4. Deep understanding of the merchant experience 5. Ability to leverage data to inform and support critical decisions 6. Strategic alignment, able to bring key stakeholders across functions together 7. A desire to learn, highly motivated self-starter, with an eagerness to learn and grow 8. Ability to foster collaboration and facilitate teamwork 9. Effective prioritization ---- Preferred Qualifications ---- 1. SQL proficiency 2. Deep analytical expertise 3. Prior experience working on global projects, or in an international setting 4. Integration experience For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 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 Courier Pricing team sits within Uber's Delivery Marketplace org and plays a key role in shaping pricing across food, grocery, and other delivery verticals. We work closely with cross-functional teams to develop scalable pricing products that keep our marketplace efficient, reliable, and ready to grow. As a Sr Staff Machine Learning Engineer, you'll build a world-class pricing system that efficiently prices every offer made to Uber's delivery partners-impacting hundreds of millions of consumers and millions of merchants worldwide. What You Will Do Technical Leadership & Innovation Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers Own end-to-end ML model lifecycle from research through production deployment and continuous optimization Platform & Architecture Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies Establish ML engineering best practices, monitoring, and operational excellence across the organization Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms Cross-Functional Impact Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards Influence technical roadmaps across multiple teams through technical leadership and strategic thinking Team Development Mentor and grow senior ML engineers, establishing technical standards and engineering culture Lead technical discussions and architecture reviews for complex ML systems Basic Qualifications PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience 10+ years of experience building and deploying ML models in large-scale production environments Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Spark) Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, and Algorithmic Game Theory Proven track record of leading complex ML projects from research through production with significant measurable business impact Strong programming skills in Python, Java, or Go with experience building production ML systems Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second) Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives Preferred Qualifications Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanisms Publications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamics Experience with causal inference methodologies and their application to business problems with network effects Reinforcement learning experience in production environments with long-term optimization and strategic agent considerations Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives Experience with real-time ML systems requiring low-latency inference and high-throughput model serving Background in economics, operations research, or related quantitative disciplines with application to marketplace problems For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber'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. #J-18808-Ljbffr

About the Role The 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. As a manager in the Authorization Platform/core security engineering, you will leverage your solid software engineering and security background to lead the team that is dedicated in ensuring the protection of Uber's core services, datastores, and infrastructure. We are focused on building both security primitives and products that help other engineering teams to secure their systems, build trust, and advance security to enable our global business. Your will lead a talented team of engineers who are responsible for designing, implementing, and maintaining advanced security solutions to strengthen Uber's security posture by securing Uber's infra, improving automation and efficiency, and working cross-functionally with various stakeholders to mitigate security risks. The ideal candidate has a deep understanding of software engineering fundamentals, experience with critical distributed systems/libraries, passionate about cybersecurity/IAM, excels at fostering team growth, and is not afraid to dive into the codebase to lead by example. What the Candidate Will Need Set team direction by identifying technical priorities and opportunities, managing expectations, and considering tradeoffs. Empower delivery by forming actionable plans, allocating responsibilities, and maintaining productivity across engineering teams with well-defined goals and metrics. Develop team structure in alignment with broader organizational strategy and vision, owning: hiring, performance management, and employee development of individual contributors. Empower the team to excel in their roles by providing mentorship, guidance, and professional development opportunities. Provide technical leadership on delivering impactful solutions while maintaining technical excellence. Provide thought leadership in leveraging Generative AI and Machine Learning to shift-left security. Partner with cross-functional teams, including trip related core services, software networking, various business verticals (U4B, UberHealth) and compliance(PSD2, SOX, HIPAA), to enhance the organization's security posture. Communicate security risks, architectural gaps, and solutions to stakeholders at all levels, ensuring clarity and alignment. Stay informed on emerging security threats, trends, and technologies to continuously enhance security practices. Basic Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related field. 4+ years full-time work experience in software engineering, product development and/or security engineering prior to Engineering Management experience. 3+ years full-time Engineering Management work experience. Strong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++) and code reviews. Deep understanding of software engineering fundamentals, including algorithms, data structures, distributed systems, system design, and architecture. Proven experience in owning critical and large-scale infra services/systems. Proven ability to lead technical projects end-to-end, from design through deployment. Strong problem-solving and decision-making skills with a bias for action. Ability to problems solve and make complex decisions with incomplete information in ambiguous situations and environments. Experience building and scaling teams while maintaining a culture of technical excellence. Preferred Qualifications Master's Degree or PhD in Computer Science, Engineering, or related field. Experience in collaborating with teams over multiple locations, and working across multiple in-house engineering organizations. Knowledge of cybersecurity concepts, tools, and best practices. Experience in authentication/authorization/IAM systems is a plus. Experience with modern development practices (e.g., CI/CD, microservices, cloud platforms like AWS/GCP/OCI). Experience building out integrations with open-source and vendor products. Experience with AI/ML technologies / frameworks and incorporating them into production systems. Proven track record of driving technical innovation and solving complex engineering challenges. 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 Seattle, WA-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 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- *************************************************************************************************** #J-18808-Ljbffr

A leading technology company is seeking a Senior Staff Machine Learning Engineer to lead the development of advanced ML systems for courier pricing. The role demands extensive experience in building and optimizing ML models, strong technical leadership, and collaboration with cross-functional teams. Ideal candidates will possess a PhD or a Master's with significant industry experience. This position offers a competitive salary range of $257,000 - $285,500, along with eligibility for bonuses and various benefits. #J-18808-Ljbffr

About the Role We are seeking a visionary and execution-driven Senior Recruiting Manager to lead our global uBecome strategy for hiring and developing early career (interns & new college grads) talent across our Engineering, Science and Product organizations. As the global point of contact (POC) for all early career talent across Tech, you will drive the end-to-end strategy: from headcount forecasting and org shaping, to pipeline development and business alignment. You will work closely with Tech leadership to understand emerging skillset needs, guide workforce planning conversations, and ensure the early talent pipeline is fueling innovation and long-term capability building. In addition to leading a high-performing team focused on North America, this role offers a unique opportunity to influence and collaborate with peers in other mega-regions, with potential dotted-line leadership across EMEA, APAC, and LATAM. At Uber, the work moves fast and at global scale - and your role in uBecome is to build early-career talent ready to take on that challenge, where what you shape today directly affects how Uber moves the world tomorrow. This is not just a recruiting role-it's a strategic leadership position at the intersection of talent, business, and the future of Tech at Uber. What you'll do Business Partnership Act as the primary liaison between Talent Acquisition and Tech business leaders for all early talent hiring strategy. Understand emerging skillsets, critical capabilities, and long-term talent needs On global scale : Influence and inform early careers demand planning and intern-to-full-time conversion strategy based on business goals Global Program Strategy Lead the design, delivery, and continuous improvement of scalable, high-impact early careers programs (internship, new grad, rotational programs) Own the development of innovative, forward-looking recruiting strategies and engagement models that reflect the future of work and talent Performance & Insights Define success metrics and build dashboards to track program performance, conversion rates, candidate experience, business engagement, and brand health Leverage data to make informed decisions, optimize investments, and communicate progress and value to stakeholders Conduct regular health checks of school strategies, hiring funnel, and conversion yield Team Leadership Manage and develop a team of high-performing university recruiters, coordinators and PMs Champion a culture of excellence, agility, and learning Elevate team capabilities through coaching, cross-regional exposure, and strategic collaboration with our industry teams Required Qualifications 10+ years of experience in Talent Acquisition, with at least 5 years in Tech University/early careers hiring Proven success building or scaling early talent programs in a fast-paced, global tech environment Deep understanding of Engineering, Product and Science skillsets, and how to align early talent strategy to business needs Strong understanding of US university ecosystems, technical curricula and student engagement trend Ability to navigate global complexity, influence across regions, and partner with a diverse set of internal stakeholders Exceptional communication and influencing skills; comfortable leading conversations with senior engineering/product leaders Analytical mindset with fluency in data, metrics, and workforce planning tools Demonstrated team leadership experience with a passion for mentorship and development About the Team At Uber, we're redefining what early career means. Through uBecome, we offer a journey where ambition meets real-world impact - growing emerging talent by prioritizing long-term development over short-term skills, and building from within through hands-on learning, mentorship, and clear paths to conversion. uBies fuels innovation with fresh thinking that pushes boundaries at global scale, while advancing representation early by expanding access and opportunity for talent from all backgrounds. We expect interns and new grads to drive real business impact, contributing to meaningful work that ships, scales, and shows up in the real world. uBecome will take you there - to work that moves the real world, and a career that grows with it. For New York, NY-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. For all US locations, you will be eligible to participate in Uber\'s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber\'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. #J-18808-Ljbffr

**About the Role** Uber Engineering is a high-performance culture marked by perseverance and hyperproductivity. We're looking for team players with natural customer service intuition who can work harder, faster, and smarter while taking technical excellence to a whole new level. You should be pumped about building a global transportation marketplace that spans a wide range of cities - varying from 100,000 to 10 million people in size - with unique regulatory, technical, and business requirements. L3 Service Desk Support Leads at Uber are expected to think beyond the ticket queues. You will be expected to work cross-organizationally to help develop and implement global service desk procedures and policies. Leads at this level have project management experience working with globally distributed teams, and your work will influence change that affects one or more adjacent orgs within the company. Here's your chance to be a part of Uber history! **What the Candidate Will Need / Bonus Points** ---- What the Candidate Will Do ---- What you'll be doing: 1. Resolve escalated tickets 2. Complete manager assigned projects 3. Consistently demonstrates a positive customer service demeanor 4. Contributor on Global Tech Services and Service Desk initiatives 5. Advanced understanding of key IT systems (Google, Okta, Box, AD) 6. Escalation point for L1's & L2's 7. Responsible for internal and external facing documentation 8. Analyze Service Desk data for support trends and areas for improvement 9. Ensure team procurement follows logistics team guidelines 10. Mentor Junior team members 11. Train L1 & L2 Technicians, New and Continued product specific trainings 12. Own the on-going L2 training program, including development, documentation, scheduling and implementation ---- Basic Qualifications ---- 1. Ability to script and code (e.g., Python, Bash) to automate routine IT tasks and enhance operational efficiency. 2. Familiarity with foundational AI concepts and practical experience with prompt engineering to leverage large language models for support and documentation tasks. 3. Go-to person for solving difficult issues : Escalation point for L1 and L2's with the highest level access to key systems 4. Content Approver / Writer / Trainer 5. Work with teams to solve big internal and external problems by providing great communication between team and stakeholders. Keep the Service Desk team hyper aware of products, projects, and issues that may impact them. Communication skills & Customer service skills must be impeccable. 6. Respond to technology support issues at a moment's notice and be on-call as needed. Constant monitoring of support queue and slack channels to ensure customer satisfaction and taking the extra step go above and beyond 7. Provide prompt, confidential and reliable technical support for a wide range of IT equipment and software including Google Apps, Slack, laptops, mobile phones, printers, network, cellular service, etc. 8. Accurately manage crisis escalation and activate/escalate to other support teams as appropriate 9. Provide direct feedback on issues impacting Uber Employees to IT Engineering leadership. 10. Act as the bridge between the Regional business leads, key stakeholders and IT Engineering 11. May require domestic and international travel 12. The normal hours of coverage is 8am to 5pm however, support is a 24x7 service 13. Any other duties as assigned ---- Preferred Qualifications ---- 1. 4+ years of IT experience 2. Minimum of 3-4 years' experience with escalations, process efficiency, and Tier 3 support. 3. Bachelor's Degree in Computer Science, or equivalent combination of education and experience 4. Expert knowledge with Windows, Linux, MacOS, iOS, Desktop/Laptops, networking, and A/V equipment 5. Ability to multi-task, independently manage time and execute on-time and at scale 6. Strong problem solving, organization and project management skills 7. A service-oriented attitude with the utmost discretion in handling sensitive/private technical issues and other matters. 8. Ability to thrive in a lightning-paced, highly technical environment 9. Demonstrably strong Customer Service experience 10. Ability to be on site and on call 11. Excellent verbal and written communication skills 12. Experience supporting mobile devices via Airwatch and Knox 13. Ability to communicate effectively with the local executive team as well as other international IT Eng teams. 14. Ability to take initiative and work independently, as well as part of a team 15. Willing to work after hours and weekends as required (on-call) For San Francisco, CA-based roles: The base hourly rate range for this role is USD$44.24 per hour - USD$49.05 per hour. 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- ***************************************************************************************************

The Financial Risk Management SOX Assurance team plays a critical role in safeguarding Uber's financial integrity and ensuring compliance with the Sarbanes-Oxley Act. As a member of this team, you will be at the forefront of protecting the company's financial data and maintaining the trust of our stakeholders. You will work to assess, evaluate, and improve internal controls related to financial reporting, in alignment with Uber's commitment to doing the right thing and upholding the highest standards. This team plays a critical role in upholding FRM's core values-placing the right people in the right roles to ask the right questions, acting with integrity, and boldly approaching risk management to drive meaningful outcomes. This team is essential in upholding Uber's core values of putting people first, acting with integrity, and being bold in our approach to risk management. Specifically, the FRM Assurance team is responsible for monitoring the effectiveness of the design, implementation, and operating effectiveness of internal controls to mitigate financial reporting risks in accordance with the 2013 COS Framework to satisfy SOX requirements. What You'll Do: Strategic Leadership: Execute the overall SOX compliance strategy, aligning with Uber's financial risk management objectives and business goals. Program Management: Lead the planning, execution, and monitoring of the SOX program for the relevant areas, ensuring timely completion of all activities and deliverables. Risk Assessment: Oversee the identification and assessment of financial reporting risks for the relevant areas, and ensure appropriate controls are in place to mitigate those risks. Control Evaluation: Evaluation of the design and operating effectiveness of internal controls over financial reporting (ICFR) for IT controls, including collaboration with BP control specialists. Stakeholder Management: Build and maintain strong relationships with key stakeholders, including internal and external auditors, and control owners across Engineering, Product, and Finance. Deficiency Remediation: Manage the identification, tracking, and remediation of control deficiencies, ensuring timely resolution and implementation of corrective actions. Continuous Improvement: Drive continuous improvement initiatives to enhance the efficiency and effectiveness of the IT SOX program, including the use of technology and automation. Champion process automation and controls modernization through tooling, data analytics, and risk intelligence. Partner with FRM's Compliance Engineering team to design and implement scalable, technology-enabled solutions (including AI) that enhance control monitoring, reduce manual effort, and improve audit readiness. Team Leadership: Lead, mentor, and develop your direct reports, fostering a culture of collaboration, accountability, and professional growth. Regulatory Compliance: Stay abreast of changes in SOX and other related regulations and best practices, and ensure the company's compliance program is updated accordingly. This includes monitoring changes to PCAOB auditing standards and SEC guidance. Reporting: Prepare and present regular reports to key stakeholders and FRM leadership on the status of SOX compliance, key risks, and control effectiveness for related areas. Audit Tools and Techniques: Oversee the utilization of audit software and tools to enhance the efficiency and effectiveness of SOX testing and monitoring. Basic Qualifications: Bachelor's degree in Information Systems, Computer Science, Accounting or a related field. 6+ years of relevant experience in SOX, internal audit, or public accounting. Preferred Qualifications: Prior experience auditing or operating within platform-based technology companies, particularly those with distributed systems architectures such as microservices, containerized environments (e.g., Docker, Kubernetes), cloud-native platforms, and API-driven services. Familiarity with modern DevOps and CI/CD pipelines and automated provisioning and monitoring tools. Experience with IT and business process controls related to revenue recognition under ASC 606, including system design and reporting implications. CISA, CISSP , CPA or other relevant professional certification is highly preferred. Communication and Interpersonal Skills: Ability to communicate effectively with diverse stakeholders, including senior management, auditors, and team members. This includes strong written and verbal communication, active listening, and the ability to present complex information clearly and concisely. Analytical and Problem-Solving Skills: Strong analytical skills to identify and assess complex issues, evaluate risks, and develop effective solutions. This includes critical thinking, attention to detail, and the ability to make sound judgments under pressure. Adaptability and Change Management: Ability to adapt to changing regulatory requirements, business environments, and organizational priorities. This includes flexibility, resilience, and the ability to drive change effectively. Business Acumen: Understanding of Uber's business operations, financial performance, and strategic objectives, and the ability to align SOX activities with these goals. Ethical Judgment and Integrity: Strong ethical judgment and integrity, with a commitment to upholding the highest standards of professional conduct and compliance. Passionate about your work and a desire to have a big impact. Enthusiastic about Uber! For San Francisco, CA-based roles: The base salary range for this role is USD$160,000 per year - USD$178,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** 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- *************************************************************************************************** #J-18808-Ljbffr

About the Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. What You'll Do Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research. Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in‑class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 8+ years of industry experience in ML/AI. A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams. 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. #J-18808-Ljbffr

A global tech company is seeking a Senior Recruiting Manager to lead its early career talent strategy. This role focuses on hiring and developing interns and new college grads across various technical domains. Responsibilities include managing a team, working closely with business leaders, and defining measures of success for talent programs. Ideal candidates will have a strong background in Tech university hiring, excellent analytical skills, and proven communication abilities. The position is based in New York, offering a competitive salary and bonus eligibility. #J-18808-Ljbffr

About the Role We are seeking a Manager II, FinTech AI Application Development (L5B) to join Uber's FinTech team. This role sits at the intersection of finance and AI innovation, driving how generative AI, machine learning, and automation reshape Finance and Accounting at Uber. This position emphasizes leadership, product vision, and domain expertise, while also valuing the ability to engage in technical exploration when appropriate. You will define the roadmap for AI in Finance, guide teams in exploring high-value use cases, and partner closely with stakeholders across Finance, Accounting, Engineering, and Uber's central AI teams to ensure scalable, impactful adoption of AI solutions. This is a high-visibility role for a leader who understands both enterprise finance systems and emerging AI technologies, and who can bridge technical possibilities with business priorities. What You'll Do #### AI Strategy & Roadmap 1. Own and drive the AI roadmap for Finance and Accounting, in partnership with Finance leadership. 2. Establish structured frameworks for identifying, evaluating, and prioritizing AI opportunities based on ROI, scalability, and risk. 3. Stay ahead of AI and ML advancements, translating them into practical applications for Finance and Accounting. #### Stakeholder Partnership 1. Act as the primary liaison between Finance/Accounting and Engineering, ensuring AI initiatives align with business goals. 2. Champion AI adoption across Finance by influencing stakeholders, shaping narratives, and demonstrating value. 3. Partner with central AI platform teams to leverage infrastructure, tools, and best practices. #### Leadership & Execution 1. Manage and mentor a small but growing AI-focused team, fostering a culture of innovation and learning. 2. Guide the design and validation of AI proofs-of-concept (developed by technical contributors), ensuring alignment with Finance needs. 3. Engage with technical details as needed to evaluate approaches and ensure sound design. 4. Oversee the transition of successful POCs into production through close collaboration with Engineering. 5. Track adoption, measure impact, and report outcomes to senior leadership. Basic Qualifications 1. Bachelor's or Master's degree in Finance, Accounting, Computer Science, Data Science, or related field. 2. Strong knowledge of enterprise finance platforms (e.g., Oracle EPM, SAP, data warehouses) and finance workflows. 3. Demonstrated ability to lead cross-functional programs and influence senior stakeholders. Preferred Qualifications 1. 10+ years of professional experience, including 5+ years in Finance/Accounting systems, processes, or technology. 2. At least 2+ years of direct experience with AI/ML concepts, including generative AI, LLMs, or related technologies. 3. CPA, CFA, or advanced degree in Finance, Accounting, or Data Science. 4. Prior experience delivering AI/ML solutions in Finance or Accounting contexts. 5. Familiarity with modern AI tools and techniques (e.g., prompt engineering, RAG, synthetic data). 6. Excellent communication and storytelling skills to translate technical concepts for Finance leaders. 7. Experience managing and mentoring technical teams. For San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [****************************************************************************** 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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems by leveraging optimization and inference to shape critical business decisions. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing. We are hiring a New Grad Data Scientist to join the Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. In this role, you will report to a Data Science Manager. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Prioritize and lead deep dives into our data to uncover new product and business opportunities Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production Design, implement, and analyze different types of experiments, and facilitate and foster data-driven and informed decision-making and prioritization Establish metrics that measure the health of our products, as well as rider and driver experience Drive collaboration and coordination with cross-functional teams Provide coaching and technical guidance for other teammates Experience: Ph.D. in Operations Research (Optimization), or similar quantitative fields or related work experience Proven experience with building and evaluating optimization models Proficiency with Python and working in a production coding environment Passion for solving unstructured and non-standard mathematical problems End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco Bay Area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.