lyft

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 software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As a Software Engineer&nbsp;on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge&nbsp; Participate in our team's oncall 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, Go Proficiency in object-oriented programming Experience working with data structures or algorithms&nbsp; 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 Seattle area is $99,360 - $124,200, 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. &nbsp;

Software Engineer, Driver Earnings

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 software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As a Software Engineer&nbsp;on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge&nbsp; Participate in our team's oncall 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, Go. Proficiency in object-oriented programming Experience working with data structures or algorithms&nbsp; 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. &nbsp;

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! We are hiring a Frontend Software Engineer to join our Mapping experiences team that next generation tooling. This role is ideal for someone who cares deeply about frontend architecture, user experience, and developer ergonomics, while still enjoying full-stack ownership and system-level thinking. In this role, you'll collaborate with engineering, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences. Responsibilities: Lead the design and development of modern, high-quality frontend experiences for advertiser-facing and internal tools, with a strong focus on usability, performance, accessibility, and maintainability Own full-stack features end-to-end, collaborating closely with product managers, designers, and data partners to translate complex requirements into intuitive workflows Set frontend engineering standards and architecture, influencing patterns, tooling, testing strategy, and long-term technical direction across the team Mentor and support mid-level and junior engineers, providing thoughtful code reviews, technical guidance, and career growth support Drive operational excellence, helping automate workflows, reduce manual effort, and improve the reliability and scalability of campaign management systems Experience: BSc/MSc in Computer Science, Computer Engineering, or equivalent practical experience. 5+ years of industry experience in frontend or full-stack engineering roles, with a demonstrated emphasis on frontend development. Proven experience building modern, production-grade frontend applications, ideally using React, TypeScript, Next.js, or similar frameworks. Strong command of frontend fundamentals: JavaScript/TypeScript, HTML, CSS, accessibility (a11y), performance optimization, and component architecture. Experience designing and consuming APIs (REST, GraphQL) and collaborating closely with backend services. Comfort working in a fast-paced, evolving environment, balancing technical excellence with delivery. Experience building or contributing to cloud-based systems (AWS) and collaborating within CI/CD and DevOps-enabled teams. Familiarity with distributed systems concepts, microservices, and data stores (SQL/NoSQL); hands-on backend expertise is a plus. Preferred: Working knowledge of AI/ML/GenAI technologies and technique and apply them. Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service&nbsp; Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. Subsidized commuter benefits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.&nbsp; Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request. 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 at least 3 days per week, including 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 Toronto area is CAD $108,000 - CAD $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. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.

Software Engineer, Frontend

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! We are hiring a Software Engineer to join our Mapping experiences team that builds end user features to enhance drivers and riders experience on Lyft’s platform by using our in house navigation system. We are looking for an engineer with expertise in system architecture, cross team collaboration, and experience in building scalable solutions in the cloud environments. In this role, you'll collaborate with engineering, product, data science, analytics, operations, and AI/ML teams on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Unblock, support and communicate with internal partners to achieve results Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering/production infrastructure industry experience Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.) Experience working with databases, relational or NoSQL Led a set of components from design to launch Benefits: Professional and stable working environment. The latest technology and equipment you need. Potential to work remotely, including out of country (dependent on work authorizations). 28 calendar days for vacation and up to 5 paid sick days. 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible. Mental health benefits. Family building benefits. This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote

Software Engineer, Server

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 &amp; AI (CMM&amp;AI) team, a key part of the broader Rideshare Experience &amp; 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.&nbsp; 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.

Senior Software Engineer, Central Market Management & AI

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 engineering team is growing rapidly, and we are looking for a Machine Learning Engineer. As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment. An ML SWE in the Integrity team is a specialized role focusing on the application of machine learning to enhance fraud detection and prevention. This role operates at a leadership and system ownership level comparable to a general SWE but with a deep specialization in ML. The individual will contribute significantly to the team's engineering excellence and operational responsibilities. This role is a highly specialized engineering position that leverages deep machine learning expertise to directly impact the Integrity team's core mission: reducing fraud, ensuring trust and safety on the Lyft platform, and contributing to the development of cutting-edge AI-driven fraud-fighting platforms. Responsibilities: Core Responsibilities: Develop &amp; Lead ML Project Initiatives for Integrity, Identity and Pay: Partner with Engineers, Data Scientists, Product Managers, and Business Partners across the organization to apply machine learning for business and user impact, specifically in areas such as (supervised) fraud risk scoring, (unsupervised) anomaly detection and other applications. Drive the end-to-end lifecycle of ML projects within the Integrity domain. Drive ML Engineering Excellence: Write production-quality code to deploy and scale machine learning models. Lead investments in architecture, observability, performance, platforms, shared libraries, and tools that support robust and efficient ML operations within the Integrity team. Collaborate Cross-functionally on ML Solutions: Drive effective collaboration with cross-functional partners, including other engineering teams (e.g., Driver, Mapping, Security, Mobile Infra for signal integration), data scientists, product managers, and business partners, to define and implement comprehensive ML solutions for integrity challenges. Mentor Junior Engineers in ML: Provide technical guidance and mentorship to junior engineers, support their onboarding processes, and actively participate in hiring efforts, particularly for candidates interested in machine learning and fraud prevention. Specific ML-Focused Responsibilities &amp; Experience (aligned with Integrity Roadmap): Lead Core 2026 ML Initiatives for Risk Management: Agentic AI &amp; KarmaAI Workflows: This supports the "Agentic workflows to scale human workloads" and the broader Karma AI (kAI) goal of an end-to-end fraud fighting loop. Risk Score &amp; Model Lifecycle: Lead the retraining of the foundational fraud risk score model and the strategic sunsetting of legacy chargeback/debt models, ensuring adherence to RTB platform health standards for ML model lifecycle management. Driver Fraud Model Development: Drive the development and deployment of the Location Spoofing ML model, including ingestion of map matching results and advanced feature sets. Advance Foundational Signals: Behavioral Fingerprinting: Investigate and build proof-of-concept models for Behavior Fingerprinting using client signals and sequence modeling, with an early use case in signup behavior to target card testing. Data-Driven Problem Solving: Exhibit a strong passion for solving complex business problems using large-scale data, specifically focusing on identifying, analyzing, and mitigating diverse fraud vectors. Drive ML Engineering Excellence (Enhance Platform RTB): ML Infrastructure &amp; MLOps: Demonstrate hands-on experience with robust ML infrastructure components, including 1-click deployment systems and auto-retraining pipelines. This supports the migration of ML pipelines to the latest MLP platforms and ensures high Platform Health for all maintained models. Impact Evaluation: Rigorously evaluate the performance of deployed ML models against critical business metrics (PMM, fraud loss rate) to ensure direct alignment with Integrity’s strategic objectives to Reduce fraud and abuse and Strengthen trust. Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Passion for building impactful machine learning models leveraging expertise in one or multiple fields. Proficiency in Python, Golang, or other programming language Excellent communication skills and fluency in English Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits 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 $140,800 - $176,000. 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.

ML Software Engineer, Integrity

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 engineering team is growing rapidly, and we are looking for a Machine Learning Engineer. As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment. An ML SWE in the Integrity team is a specialized role focusing on the application of machine learning to enhance fraud detection and prevention. This role operates at a leadership and system ownership level comparable to a general SWE but with a deep specialization in ML. The individual will contribute significantly to the team's engineering excellence and operational responsibilities. &nbsp; This role is a highly specialized engineering position that leverages deep machine learning expertise to directly impact the Integrity team's core mission: reducing fraud, ensuring trust and safety on the Lyft platform, and contributing to the development of cutting-edge AI-driven fraud-fighting platforms. Responsibilities: Core Responsibilities: Develop &amp; Lead ML Project Initiatives for Integrity, Identity and Pay: Partner with Engineers, Data Scientists, Product Managers, and Business Partners across the organization to apply machine learning for business and user impact, specifically in areas such as (supervised) fraud risk scoring, (unsupervised) anomaly detection and other applications. Drive the end-to-end lifecycle of ML projects within the Integrity domain. Drive ML Engineering Excellence: Write production-quality code to deploy and scale machine learning models. Lead investments in architecture, observability, performance, platforms, shared libraries, and tools that support robust and efficient ML operations within the Integrity team. Collaborate Cross-functionally on ML Solutions: Drive effective collaboration with cross-functional partners, including other engineering teams (e.g., Driver, Mapping, Security, Mobile Infra for signal integration), data scientists, product managers, and business partners, to define and implement comprehensive ML solutions for integrity challenges. Mentor Junior Engineers in ML: Provide technical guidance and mentorship to junior engineers, support their onboarding processes, and actively participate in hiring efforts, particularly for candidates interested in machine learning and fraud prevention. Specific ML-Focused Responsibilities &amp; Experience (aligned with Integrity Roadmap): Lead Core 2026 ML Initiatives for Risk Management: Agentic AI &amp; KarmaAI Workflows: This supports the "Agentic workflows to scale human workloads" and the broader Karma AI (kAI) goal of an end-to-end fraud fighting loop. Risk Score &amp; Model Lifecycle: Lead the retraining of the foundational fraud risk score model and the strategic sunsetting of legacy chargeback/debt models, ensuring adherence to RTB platform health standards for ML model lifecycle management. Driver Fraud Model Development: Drive the development and deployment of the Location Spoofing ML model, including ingestion of map matching results and advanced feature sets. Advance Foundational Signals: Behavioral Fingerprinting: Investigate and build proof-of-concept models for Behavior Fingerprinting using client signals and sequence modeling, with an early use case in signup behavior to target card testing. Data-Driven Problem Solving: Exhibit a strong passion for solving complex business problems using large-scale data, specifically focusing on identifying, analyzing, and mitigating diverse fraud vectors. Drive ML Engineering Excellence (Enhance Platform RTB): ML Infrastructure &amp; MLOps: Demonstrate hands-on experience with robust ML infrastructure components, including 1-click deployment systems and auto-retraining pipelines. This supports the migration of ML pipelines to the latest MLP platforms and ensures high Platform Health for all maintained models. Impact Evaluation: Rigorously evaluate the performance of deployed ML models against critical business metrics (PMM, fraud loss rate) to ensure direct alignment with Integrity’s strategic objectives to Reduce fraud and abuse and Strengthen trust. Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Passion for building impactful machine learning models leveraging expertise in one or multiple fields. Proficiency in Python, Golang, or other programming language Excellent communication skills and fluency in English Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits 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 New York City area is $140,800 - $176,000. 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.

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.&nbsp; Core Services powers the passenger and driver state machines from request and accept through drop-off and payment completion. The team enables a multitude of ride variations like autonomous vehicles, taxis, scheduled, business concierge, health and more. The “Core Services” are a suite of distributed Python and Golang systems central to Lyft’s backend.&nbsp; As a software engineer on the team, you will work on integrating new rider and driver products and features onto the state machine and enhancing the performance and reliability of ride state transitions. If you are excited about solving back-end distributed systems problems and owning a mission-critical part of Lyft’s operations, this team is for you. As a software engineer at Lyft, you will collaborate with other engineers and cross-functional teams, such as product, data science, and analytics, to lead and execute large projects—from concept to efficient execution. We are looking for a motivated Software Engineer who is passionate about solving challenging technical problems and excited to work in a fast-paced, innovative, and cross-functional environment. In this role, you will tackle some of the most interesting and impactful problems in ridesharing. Key traits for success include being passionate about Lyft’s business and product, a quick learner, a collaborative mindset, and an eagerness to drive initiatives both within and across teams. You'll be joining a small, close-knit team with passionate, collaborative co-workers. Responsibilities Design, develop, deploy, monitor, operate and maintain existing or new elements of the Fulfillment tech stack Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge&nbsp; Lead projects from idea to positive execution Proactively participate in resolving ongoing incidents&nbsp; Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 2+ years of software engineering industry experience Proficiency in object-oriented programming Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.) Proficiency in scripting languages to use APIs to automate manual processes Experience with common CI tools (Jenkins, Buildkite, CircleCI, TeamCity), and proficiency in at least one of those tools Solid knowledge of distributed systems, relational and NoSQL databases Ability to communicate in English in writing, meetings, and presentations Fulfillment owns services written in Golang and Python 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 Seattle 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.

Software Engineer, Fulfillment Core Services

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 software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. About the Role: The Applied AI team is looking for a Backend Engineer to join the AI Entries team. You will build the foundational infrastructure that connects Lyft to emerging AI ecosystems and devices and architect the APIs and orchestration layers that allow third-party agents and multimodal interfaces to interact with Lyft. By building these robust integration, you will help make Lyft available where our riders are. Responsibilities Drive high-impact projects and innovate new solutions to provide the best user experience. Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge&nbsp; Participate in our teams 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. 2+ years of software engineering/production infrastructure industry experience. Experience with Python and 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 with LLM orchestration (LangChain, etc.), Vector Databases, or building APIs for conversational agents. Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service&nbsp; Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. Subsidized commuter benefits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.&nbsp; Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request. 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 at least 3 days per week, including 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 Toronto area is CAD $108,000 - CAD $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. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.

Software Engineer, Search & AI Entry

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.

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