Staff Software Engineer jobs at Über - 156 jobs

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 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

A leading transportation network company in San Francisco is seeking a Machine Learning Engineer to tackle strategic marketplace problems. The ideal candidate will shape technical roadmaps with leadership, design algorithms using large-scale data, and oversee the product lifecycle from model pipeline to implementation. This role requires a PhD in a relevant field and 4+ years of experience in machine learning. Competitive salary and bonuses included. #J-18808-Ljbffr

A leading tech company in San Francisco is seeking an experienced Machine Learning Engineer to optimize pricing systems for rides. You will collaborate with Engineers, Operations Researchers, and Economists, developing scalable systems to forecast demand and set prices based on real-time conditions. The ideal candidate holds a PhD and has at least 4 years of experience with deep learning and optimization. A competitive salary package is offered, including eligibility for bonuses and equity awards. #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. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don't just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen. The Mapping organization at Lyft has spent the last few years building up Lyft's mapping assets and capabilities by combining many internal and external data sources and services into an increasingly powerful and mission-critical technology stack. In doing so, we've also enabled new user experiences and features across all of Lyft's products, including rideshare industry leading firsts like CarPlay, Android Auto, and real-time driver feedback! Responsibilities: Set the technical vision and strategy for a rapidly evolving product area Co-own the product strategy with the product partner and ensure a timely delivery with high quality of the engineering solutions Lead a team of talented engineers who like to ship code and tackle hard engineering problems Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Provide continuous feedback, address performance, and recognize the individual strengths and contributions of your team members Create plans for prioritizing technical and resourcing challenges in your organization Maintain a balance between building sustainable, high-impact projects and shipping things quickly Instill a spirit of continuous improvement in the team's code, architecture, and processes Work closely with the Lyft recruiting team to hire high potential candidates from diverse backgrounds Work with your engineers and/or product managers to maintain a prioritized backlog and create short term and long-term goals Own your team's deliverables and ensure we continue to ship scalable, highly-available products that delight our passengers and drivers Experience: Bachelor's degree in Computer Science, a related field, or equivalent practical experience 10+ years of experience in software engineering 3+ years of experience managing engineering teams Experience architecting, building, and scaling distributed systems Experience both launching consumer facing products and also leading backend and ML-focused teams You have experience leading a team of engineers and guiding them through their career development You enjoy working in a collaborative environment, and you're committed to driving projects to completion creatively You can motivate and instill a strong sense of ownership in your team You have experience guiding teams through planning, prioritization, and execution of work You are able to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure You work well with product and science partners and help set the product vision for an ambiguous project Very strong written and verbal communications and presentation skills and aptitude to engage directly and effectively with company executives 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 $176,000 - $220,000 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.

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. Lyft connects people to transportation to change the way we live and get around our communities. Lyft's engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust. The security team designs and builds Lyft's security architecture, consults with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from an engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at ************************************ to learn more about some of the things we've built. The Cloud Security team's mission is to improve Lyft's maturity and protect our employees, partners, and intellectual property by architecting and executing on a comprehensive security model relative to our cloud infrastructure. As Staff Software Engineer, you'll help us build this team and deliver on high impact objectives. This role will drive security reviews, implement detections, remediate findings, implement and enforce least privilege, separation of development environments, secure design, operation, and configuration of our multi-cloud and container environments. Responsibilities: Establish and execute a roadmap for secure cloud architecture Write readable, efficient, and maintainable code Design security protocols to secure Cloud infrastructure and Kubernetes at scale Lead large projects from inception to implementation Unblock, support and communicate with internal partners to achieve results Partner with teams across Lyft on organizational security initiatives Design and implement cloud security solutions for monitoring, vulnerability remediation, and attack surface analysis and risk reduction Collaborate with engineering organizations to build inherently secure cloud architecture solutions Exercise sound judgment and thrive in ambiguous situations Experience: 6+ years of relevant industry experience Experience with modern programing languages (e.g., Python, Java, Go) and distributed systems Deep expertise with one or more major cloud service providers like Amazon Web Services (AWS), Google Cloud(GCP), Oracle Cloud, etc Expertise in cloud service architecture and cloud security concepts Experience with Kubernetes and container security Familiarity with securing and hardening Linux hosts Able to write clear, scalable and clear design documentation 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 $176,000 - $220,000, 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.

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. About the Team The Risk Tech engineering organization is dedicated to tangibly reducing accident frequency, saving lives, and controlling costs to make rides safer & more affordable. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, reserves, regulatory processes, and large financial liabilities. This role is an opportunity to shape an industry-leading claims management system. Our vision is to establish a single, Unified Risk Platform where end-to-end claims workflows across all business lines are efficiently managed, communications are consolidated, and data is organized for data-driven intelligence. This enables cost-efficient claims operations, drives down risks and costs as Lyft scales, and ensures people receive the help they need quickly and accurately. About the Role We are seeking a Staff Software Engineer to set the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from backend, frontend, data, product, mobile, and operations to deliver end-to-end solutions. Responsibilities: * Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Operations, Science, and other stakeholders. * Provide architectural leadership, make informed design tradeoffs, and guide strategic platform decisions across multiple engineering teams. * Deliver scalable, reliable, and well-tested solutions, writing maintainable code and raising engineering standards * Collaborate closely with internal claims operation teams, external insurance partners, and cross-functional engineering groups to ensure technical alignment and scalable integrations. * Drive platform innovation through AI adoption and automation. * Mentor team members within and outside of the team * Have a good grasp and ability to explain the various trade offs made in decisions * Lead code reviews, design reviews, production on-call support and incident triaging process. * Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: * B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience * 8+ years of professional experience building scale distributed systems with high availability, observability and reliability requirements * Prior experience in insurance, claims management, or workflow orchestration is a strong plus. * Proven ability to build end-to-end products and platforms, collaborating effectively with backend, frontend, data, operations, and product teams. * Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost. * Prior experience in Insurance, Claims management, Workflow orchestration is a strong plus. * Experience driving AI adoption or automation initiatives to improve operational efficiency. * Proficiency in Python. Knowledge of React/Next.js is a plus. * Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc * Strong oral and written interpersonal skills 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 $176,000 - $220,000 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.

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. We care deeply about delivering the best transportation experience; this means the best experience for the rider and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets... how they evolve, how they breathe. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. + You're an enthusiastic and aspiring app developer looking to take your skills to the next level by joining our iOS team as an intern + Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases + Our codebase is written entirely in Swift with modern design patterns and coding standards **Responsibilities:** + Own your project, while checking in with other team members throughout the day with questions and updates + You leave the code in a better state than when you found it (progressive refactor) + You value reliability, ensured by testing (unit, integration and load tests) + Participate in code reviews to ensure code quality and distribute knowledge + Continuous integration and deployment + Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft rider! **Experience:** + Currently pursuing a **Bachelor's or Master's degree in Computer Science** , with a **graduation date between December 2026 and Summer 2027 (required).** For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience. + Available during **Summer 2026** for an internship in San Francisco + Strong knowledge of CS fundamentals + **Strong knowledge of Swift** + Excellent communication skills + Passion for community, sustainability, and/or transportation + Ability to thrive in a startup environment + Experience with real-time technology problems + Contributions to open source projects + Experience working with databases + Experience solving real-time technology problems + Experience with mobile development + Previous work with social networks **Benefits:** + Great medical, dental, and vision insurance options + Mental health benefits + In addition to holidays, interns receive 2 days paid time off and 3 days sick time off + 401(k) plan to help save for your future + Pre-tax 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. The expected base pay range for this position in the San Francisco area is $52 - $58/hour USD. 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.

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. We care deeply about delivering the best transportation experience; this means the best experience for the rider and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. You're an enthusiastic and aspiring app developer looking to take your skills to the next level by joining our iOS team as an intern Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases Our codebase is written entirely in Swift with modern design patterns and coding standards Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft rider! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science, with a graduation date between December 2026 and Summer 2027 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience. Available during Summer 2026 for an internship in San Francisco Strong knowledge of CS fundamentals Strong knowledge of Swift Excellent communication skills Passion for community, sustainability, and/or transportation Ability to thrive in a startup environment Experience with real-time technology problems Contributions to open source projects Experience working with databases Experience solving real-time technology problems Experience with mobile development Previous work with social networks Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Pre-tax 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. The expected base pay range for this position in the San Francisco area is $52 - $58/hour USD. 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** The Consumer Incentives team is responsible for the profitability and growth trajectory of Uber's business across various verticals, including food and grocery. Our objective is to enhance the customer experience by making it more pleasant and affordable. The team addresses complex challenges in machine learning, optimization, and distributed systems to power products that serve hundreds of millions of individuals globally. ---- What You Will Do ---- In this role, you will provide technical leadership, help identify gaps/opportunities, and influence the direction of technical solutions to enhance incentive efficiency, while optimizing user experience across various verticals, including food and grocery. Key responsibilities include: 1. Identifying strategic technical investments to push the efficiency frontier and boost business growth. 2. Leading teams to design and implement technical solutions to meet ambitious business goals. 3. Managing end-to-end project execution, covering ideation, scoping, development, experimentation, productionization, and post-launch operation. 4. Collaborating with cross-functional teams, including product, operations, and science partners. ---- Basic Qualifications ---- 1. 7+ years of experience delivering, scaling, and owning highly successful and innovative software products with your fingerprints all over them 2. Proven record of engineering skills. Ability to write high-performance production-quality code. Experience in Go, Python, Java, or other equivalent languages. 3. Experience building scalable distributed systems 4. Perseverance to get things done with a focus on shipping online features backed by experiments. 5. Drive to always learn new things and go above and beyond the call of duty. 6. Strong communication skills and a collaborative approach to problem-solving. Always working to improve yourself and constructively support the team around you. ---- Preferred Qualifications ---- 1. Demonstrated leadership skills, with experience in mentoring and guiding junior engineers. 2. Proven experience in data analytics and experimentation tools 3. Strong sense of ownership 4. Ability to work effectively in a fast-paced, team-oriented environment. 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 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- ***************************************************************************************************

**About the Role** The Ads Demand Platform team owns the end-to-end advertiser-side systems that power ad creation, management, and lifecycle across all ad formats and advertiser types. We build scalable APIs, workflows, and core systems that unblock and accelerate product teams spanning SMB, Enterprise, CPG, display, and non-endemic ads. As a Staff Backend Engineer, you'll shape foundational architecture, set technical direction across multiple teams, and have outsized impact by enabling the next generation of ads products at Uber scale. **What You Will Do** + Lead the design and evolution of core backend systems that power the advertiser experience across all ads products and formats + Define and drive platform architecture, APIs, and shared services used by multiple ads feature teams + Partner closely with product, frontend, and feature teams to translate complex business needs into scalable technical solutions + Provide technical leadership through design reviews, mentorship, and setting engineering best practices across the org + Own system reliability and operational excellence, including performance, scalability, and long-term maintainability **Basic Qualifications** + 7+ years of backend engineering experience building and operating large-scale, distributed systems in a production environment + Strong proficiency in designing APIs, data models, and workflows with an emphasis on scalability, reliability, and maintainability + Proven track record of technical leadership, including driving architecture decisions, mentoring senior engineers, and influencing across multiple teams **Preferred Qualifications** + Experience building ads platforms or demand-side systems, such as ad creation, targeting, bidding, budgeting, pacing, or measurement + Strong background in designing multi-tenant, high-scale platform systems that serve diverse product teams and advertiser types For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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- ***************************************************************************************************

**About the Role** The Consumer Incentives team is responsible for the profitability and growth trajectory of Uber's business across various verticals, including food and grocery. Our objective is to enhance the customer experience by making it more pleasant and affordable. The team addresses complex challenges in machine learning, optimization, and distributed systems to power products that serve hundreds of millions of individuals globally. ---- What You Will Do ---- In this role, you will provide technical leadership, help identify gaps/opportunities, and influence the direction of technical solutions to enhance incentive efficiency, while optimizing user experience across various verticals, including food and grocery. Key responsibilities include: 1. Identifying strategic technical investments to push the efficiency frontier and boost business growth. 2. Leading teams to design and implement technical solutions to meet ambitious business goals. 3. Managing end-to-end project execution, covering ideation, scoping, development, experimentation, productionization, and post-launch operation. 4. Collaborating with cross-functional teams, including product, operations, and science partners. ---- Basic Qualifications ---- 1. 7+ years of experience delivering, scaling, and owning highly successful and innovative software products with your fingerprints all over them 2. Proven record of engineering skills. Ability to write high-performance production-quality code. Experience in Go, Python, Java, or other equivalent languages. 3. Experience building scalable distributed systems 4. Perseverance to get things done with a focus on shipping online features backed by experiments. 5. Drive to always learn new things and go above and beyond the call of duty. 6. Strong communication skills and a collaborative approach to problem-solving. Always working to improve yourself and constructively support the team around you. ---- Preferred Qualifications ---- 1. Demonstrated leadership skills, with experience in mentoring and guiding junior engineers. 2. Proven experience in data analytics and experimentation tools 3. Strong sense of ownership 4. Ability to work effectively in a fast-paced, team-oriented environment. 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 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- ***************************************************************************************************

**About the Role** The Conversational Assistants team brings together Uber's products, state of the art cognitive technologies and Uber's engineering infrastructure to deliver automated conversational assistants a.k.a chatbots to provide enhanced customer experience. Our chatbots are capable of interacting with customers, performing cognitive analysis of customer interactions in real time and responding and interacting automatically with the customers. Our automated assistants are built on dialog management frameworks, Uber's support logic, natural language understanding models and customer communication data to deliver automated support experience that reduces burden on human agents and provides faster response to the customers. We constantly thrive on providing the next generation of customer assistants which are a result of Uber's big bold bets. As a result we are building the next generation chatbots leveraging GenAI models to provide more personalized, empathetic, human-like conversations that are also compliant with Uber's business policies . **What the Candidate Will Need / Bonus Points** ---- What the Candidate Will Do ---- We are seeking a strong and passionate software engineer with experience in building chatbots. You will be responsible for creating scalable, reliable, manageable chatbots that deliver on conversational requirements at Uber by bringing together LLM prompts and Assistant building platforms at Uber. You will be owning customer facing chatbots that impact the support experience of millions of customers. You will also be leading the NLP based chatbot to GenAI based chatbot migrations as well as augmenting the existing GenAI chatbots with new features and capabilities. Your responsibility will include identifying required changes across Uber's engineering ecosystem, collaborating with engineering teams, driving consensus, implementing extensible, maintainable changes required to build state-of-the-art support experiences. We are looking for someone who has passion for designing and driving large projects from inception to production. The right person will work with stakeholders, product managers, scientists, partner engineering teams to gather requirements and translate them into a platform feature. Must be a great communicator, team player, and a technical powerhouse. ---- Basic Qualifications ---- 1. Bachelors Degree, or above, in Comp Science or related field 2. Scalable system architecture design 3. Production-quality services, deployment, monitoring, and reliability. 4. Microservice designs, gRPC or REST API development 5. Ability to decompose complex business problems into clean, extensible, performant services and systems 6. Logging, monitoring, performance troubleshooting and tuning experience 7. Excellent problem-solving skills and the ability to work in a collaborative team environment 8. Comfortable in navigating multi-disciplinary teams with respect 9. Focus on code quality in terms of coverage, code reviews 10. Excellent technical writing skills to communicate design, requirements, flows, architecture 11. Fluent in one of these programming languages: Golang, Scala, Java, 12. Comfortable in one of these scripting languages: Javascript, python 13. Solid understanding of algorithms, data structures, and software design principles. 14. Experience with version control systems such as Git. ---- Preferred Qualifications ---- 1. Experience in machine learning, GenAI, or LLM technologies. 2. Experience with building conversational assistants 3. Dialog management systems like Google Dialogflow, Amazon Alexa 4. Familiarity with large scale distributed systems like Kafka and cloud platforms like AWS, GCP, or Azure. 5. Familiarity with communication channel interfaces eg: WhatsApp, SMS, slack For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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- ***************************************************************************************************

**About the Role** The Financial Products team is a highly focused growth team with a mission to build out Uber's financial services. As one of the company's core strategic initiatives, the team is responsible for launching high-impact projects that push the boundaries of Uber's services and offerings and has a direct impact on the company's performance. On this team, we build user-facing fintech products and services that interface with the entire Uber platform. We ship on a global scale and pursue strategic projects in various markets to empower Uber's business. **What the Candidate Will Need / Bonus Points** ---- What the Candidate Will Do ---- 1. Lead and execute on web projects that span across multiple engineering teams 2. Collaborate closely with product, design, and business teams to design and implement new product ideas and business needs with a scalable solution 3. Drive adoption of best practices in code health, testing, and maintainability 4. Play an active role in the team's technical design choices, code reviews, and documentation ---- Basic Qualifications ---- 1. Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent practical experience. 2. 7+ years working with Web technology and technical software engineering experience; 3. Proficiency in JavaScript/TypeScript 4. Experience developing web applications using frameworks like React or Node.js 5. Familiarity with microservices and API design 6. Architecting, building, and maintaining web applications 7. Experience with data analytics and experimental design in an engineering context. ---- Preferred Qualifications ---- 1. Great sense of ownership 2. Ability to work effectively in a fast-paced, team-oriented environment. 3. Robust understanding of client-side performance optimizations and modern browser capabilities. 4. Solid experience with modern js frameworks, such as Fusion/React. 5. Demonstrated fluency with one or more general-purpose programming languages, including: C++, Python, Java, Go, particularly as it relates to supporting front-end tooling or infrastructure. 6. Experience and interest in the broader front-end ecosystem, including build tools, testing frameworks, and state management libraries For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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- ***************************************************************************************************

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 Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is essential for maintaining a balanced and an efficient marketplace. We do so by developing foundational models, business datasets, and decision-making applications that support a wide range of teams across Lyft. These critical platforms and tools power our pricing logic, operational alignment, and regional strategies, enabling us to compete effectively in the Rideshare landscape. As a Senior Software Engineer on the Foundational Models team, you will collaborate with Product, Data Science, and Operations to build and deploy tools that accelerate iteration and drive business efficiency. This role requires infusing AI capabilities into our existing workflows and demonstrating agility in adopting emerging AI models. Responsibilities: Partner with scientists, analysts, and business users to build and productionize foundational models and tools for running our Marketplace Help define the roadmap and architecture based on technology and business needs Help lead large projects from idea to positive execution Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Design, build and improve a set of team owned components Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines Collaborate with internal and external partners to remove blockers, provide support, and achieve results Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: 5+ years of software engineering industry experience Proficiency in Python and experience with object-oriented programming Experience in distributed systems Experience working with relational or NoSQL databases Demonstrated ability to write scalable and clear design documentation Excellent communication skills and fluency in English Prior experience working closely with Data Scientists, Analysts, and Business decision-makers Preferred Qualifications: Experience deploying or maintaining ML models in production (MLOps) Familiarity with data processing and orchestration frameworks (e.g., Spark, Airflow) Exposure to modern AI/ML frameworks or integration patterns 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 $148,000 - $185,000, 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.

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. Lyft's engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. About Our Org: The security team designs and builds Lyft's security architecture, consults with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at ************************************ to learn more about some of the things we've built. About This Position: We're looking for an engineer with a strong networking background who's excited about growing and securing distributed systems throughout the company. You'll play a part in shaping how service networking works at Lyft, with significant impact and visibility. Responsibilities: Work on our network security initiative such as our Internet edge proxies (Envoy), Web Application Firewall, service-to-service authentication and authorization. Architect and build services that improve the security of our systems with an eye towards scalability and avoiding unnecessary friction. Evangelize our shared security responsibility model by collaborating with other Infrastructure teams at Lyft to ensure that our services and workflows are secure by default. Work on embedding security best practices such as least privilege, isolation, monitoring, authentication and authorization across our entire infrastructure (systems, application, networking). Develop critical services that Lyft depends on such as our credential management service that provides secrets to all our services at Lyft. Experience: Solid experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts) Strong understanding of networking concepts (TCP/IP, HTTP, TLS, DNS) and working experience with edge or sidecar proxies. Identity and Access Management (IAM): provisioning least privilege access to users and services. Familiarity with authn/authz and frameworks and concepts related to SSO, SAML, OAuth, OpenID. Experience with Amazon Web Services (AWS) or another major cloud service provider Kubernetes and container security and running fleets of endpoints or servers in the cloud. Cryptography, PKI, or key/certificate distribution Running multi-tier or distributed web services at scale Soft Skills When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities You understand that security work must be prioritized because all teams have finite resources. You have good judgment and a sense of when to compromise and when to hold your ground 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 #non_promo_job The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, 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.

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. You'll be joining the Driver Loyalty & Rewards team, which is focused on creating meaningful value for drivers every time they drive. We build features that recognize, reward, and strengthen drivers' connection to the platform, making their driving experience more engaging and rewarding. You're an enthusiastic app developer looking to take your skills to the next level by joining our Android team. We build apps used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases. Within the teams, backlog grooming, planning meetings, daily stand-ups, demos and retrospectives keep us agile, and accountable. Continuous integration with automated testing allows us to run a bi-weekly release train. Our beta release process gives us useful insight into user behavior and heavy use of analytics, A/B testing and feature flagging allows for rapid iteration. With a focus on delightful user experiences, we balance building new features, refactoring code, and tweaking existing features based on analytics data. Every line of code gets reviewed by other developers, every pixel inspected by designers, and every feature hammered on by manual and automated QA. Responsibilities: * Keep up-to-date with Android and industry developments * Build great UX for millions of users * Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution * Write well-crafted, well-tested, readable, and maintainable code * Analyze our internal systems and processes and locate areas for improvement/automation * Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices * Identify, triage, debug and resolve issues/bugs across our various applications and platforms * Participate in code, product and design reviews to provide feedback to ensure best practices Experience: * 3+ years of software engineering industry experience * Worked on and shipped large scale Android applications * Experience with Kotlin. Java experience is nice-to-have but not required. * Experience with architecture paradigms like unidirectional and reactive programming, and other patterns commonly used in the industry * Experience with Jetpack Compose, unit and snapshot testing, and creating shared components * Great product sense; you care about usability and good design * Ability to work with a low-ego, highly collaborative, and cross-functional team * Bonus points: experience pursuing side projects or open-source projects 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 $128,000-$160,000, 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.

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. Lyft is looking for product-focused Android software engineers for our Rider Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers. The Rider Golden Path team builds the core user-facing app experience for requesting and completing a ride. You'll help bring the next iterations of our home screen, ride mode selector, driver matching states and more to life. Responsibilities: * Keep up-to-date with Android and industry developments * Build great UX for millions of users * Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution * Write well-crafted, well-tested, readable, and maintainable code * Analyze our internal systems and processes and locate areas for improvement/automation * Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices * Identify, triage, debug and resolve issues/bugs across our various applications and platforms * Participate in code, product and design reviews to provide feedback to ensure best practices Experience: * BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience * Worked on and shipped large scale Android applications * Experience with Kotlin. Java experience is nice-to-have but not required. * Experience with architecture paradigms like unidirectional and reactive programming, and other patterns commonly used in the industry * Experience with Jetpack Compose, unit and snapshot testing, and creating shared components * Great product sense: you care about usability and good design * Ability to work with a low-ego, highly collaborative, and cross-functional team * Bonus points: experience pursuing side projects or open-source projects 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 $108,000 - $135,000, 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.

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. Lyft is looking for product-focused server software engineers for our Rider Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers. The Rider Golden Path team builds the core user-facing app experience for requesting and completing a ride. You'll help bring the next iterations of our home screen, ride mode selector, driver matching states and more to life. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our team's on call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience Experience with Python and/or Go. Proficiency in object-oriented programming Experience working with data structures or algorithms Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source projects 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 $108,000 - $135,000, 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.