At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You'll collaborate with highly cross-functional teams such as product, data science, analytics, and design to deliver on that promise. As the Software Engineer in Test in Rider Quality team, you will help Lyft re-imagine what quality means in the age of AI. You will be responsible for building a new set of test automation and ML-enabled tooling to ensure a high-quality Lyft app. A Software Engineer in Test (SET) will be the driving force behind a comprehensive automation strategy defining test implementation and increasing coverage. This is a hands-on position. You will schedule and participate in internal testing efforts, collaborate closely with product feature teams as they develop new features, and ensure every release happens on time without regression. Responsibilities: Collaborate with product teams to understand the testing needs, identify test scenarios, perform exploratory testing, and design test automation. Create testing plans, both manual and automated, for new and existing products and features in line with product goals. Improve our existing test automation frameworks and infrastructure and support engineers in writing automated tests. Test complex API, web, and mobile-based applications that reference database back-end systems. Maintain existing UI and API tests, monitor failures and report bugs. Build and maintain systems to monitor test stability and report stability issues back to engineers. Experience: 3+ years of hands-on industry experience as an SET, developer, or strong Automation Engineer. Strong object-oriented programming experience. Proficiency in Java/Kotlin or Swift for mobile platforms. Familiarity with Espresso/XCUItest is strongly desired. Proficiency in Java/Python for API testing (integration testing). Solid experience in building automation frameworks and writing reliable, scalable, and reusable automated tests. Solid experience with design patterns. Have worked on mobile platforms and have a very good understanding of and ability to troubleshoot the testing ecosystem. Strong experience in developing and documenting test plans, test cases, and reporting bugs for complex features. Track record of improving efficiency, especially through automation, balancing short-term and long-term priorities. Have significant experience and willingness to work with other teams such as engineering, product, and release teams. Forward and proactively thinking ahead, and building for future changes in an ever-changing mobile ecosystem. Shows a passion for learning, especially through looking at new processes and tools that have significant impact on engineering teams. Experience in prioritizing and coordinating work across a large number of product teams is a plus. Excellent communication skills. Experienced in developing metrics against test coverage. 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. 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 proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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. 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 $108,000-148,500 CAD. 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. #J-18808-Ljbffr
At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We are looking for experienced Server Software Engineers to join our First Notice of Loss (FNOL) Tech engineering team which is part of Risk organization. Our vision is to tangibly reduce risk on the Lyft platform, and build the best tools and workflows for both internal and external parties to collect and report accident details quickly, accurately and provide people with the help they need. Our team is dedicated to establishing a single, Unified Risk Platform where the end to end claim workflows across all teams/business lines are efficiently managed, all communications are consolidated, all data is organized for data-driven intelligence, which enables a cost efficient claim operation and ultimately drives down risks and cost as Lyft businesses scale. Responsibilities: Lead and drive high-impact projects and innovate new solutions to provide the best user experience. Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices. Own some of the key systems and components, taking responsibility for their development, deployment, operation, and maintenance. Provide technical leadership through architectural reviews, system design discussions, and driving improvements in team processes and engineering best practices. Unblock, support and communicate with internal and external partners to achieve results. Participate in on-call rotations, proactively monitor systems, lead post-incident reviews, and drive operational excellence initiatives. Experience: 4+ years of software engineering industry experience, with a strong focus on Backend development. BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience. Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems. Led a set of components from design to launch. Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.). Demonstrated ability to write clear, scalable design documentation and lead architectural discussions. Experience working with databases, both SQL and NoSQL. 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. 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 proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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. 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 136,000-187,000 CAD. 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. #J-18808-Ljbffr
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features. The Verticals team encompasses 3 critical and unique products / marketplaces within Lyft: airports, scheduled rides, and events. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. Scheduled rides allow riders to book a ride in advance with high reliability, and enable drivers to add structure to their work schedule. Lastly, events such as concerts or sporting games require similar considerations of special operations to ensure a seamless experience for both riders and drivers. As a Senior Data Analyst on the Verticals team, you will collaborate with engineering, product, design, operations, and marketing to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: Which airports are underperforming and which key metrics can we use to identify and classify airport performance? What targets should we set for these key metrics? What is driving high cancellation rates today and which types of riders/drivers are cancelling? What product changes can we implement to reduce cancellation rates for scheduled rides? How are riders and drivers using different ride modes at airports and events, and how do we design products to address this behavior? How are riders and drivers discovering scheduled rides and are there entry point optimizations we can implement? Responsibilities: Leverage data and analytic frameworks to identify opportunities for growth and efficiency across Verticals products, recommending solutions to drive business impact. Understand the complex business dynamics across the Verticals product areas, specifically how these products differ from traditional rideshare marketplaces, to propose enhancements that complement Lyft-wide products. Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action. Develop dashboards and analytical frameworks to monitor business and product performance. Establish metrics that measure the health of our products, the business, as well as the rider and driver experiences. Experience: 5-7+ years of experience in data analytics in a high-growth environment. Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (an asset, advanced degrees also an asset). End-to-end experience with data, including querying, aggregation, analysis, and visualization. Ability to manage, influence, negotiate, and inspire others in a fast-moving environment. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions. Outcome-driven approach to developing recommendations and demonstrated ability to develop a story and execution plan to support goals and objectives. Exceptional communication (listening, written, and oral) skills with the ability to present findings and recommendations targeted to the audience in question. A drive to understand the core issues along with the determination to uncover the solution. Thrives within ambiguity and context-switching. Strong oral and written communication skills, and ability to collaborate with cross-functional partners. 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. 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 proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. The expected base pay range for this position in the Toronto area is CAD $129,000 - $161,250. 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. #J-18808-Ljbffr
At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. We support Kafka as our primary data streaming platform and offer a number of services to manage data and make it available to our internal customers. Responsibilities: Maintain and analyze metrics from operating systems, control planes, and applications to assist in fault detection and performance enhancement. Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform. Balance feature development speed and reliability with service-level objectives. Operate and improve our Infrastructure using industry best practices and tools. Participate in design and production readiness reviews, platform management and capacity planning ceremonies with cross-functional teams. Document Infrastructure operations process and insights, identify repeatable actions and ruthlessly automate repetitive tasks. Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events. Experience: 2+ years experience working on teams responsible for software development, automation and systems engineering. Ability to create production ready code in one or more high level languages, such as Go Lang, Python. Experience operating large scale infrastructure in public cloud environments, such as AWS. Prior infra experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context). Experience identifying nascent problems, performance bottlenecks and areas for improvement and developing and executing plans to mitigate 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. 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 proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $149,000. 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. #J-18808-Ljbffr
At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. You will report into a Data Science Manager based in Toronto. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code; collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields. 3+ years professional experience. Passion for solving unstructured and non-standard mathematical problems. End-to-end experience with data, including querying, aggregation, analysis, and visualization. Proficiency with Python, or another interpreted programming language like R or Matlab. Willingness to collaborate and communicate with others to solve a problem. 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, allowing 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. 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 proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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. 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. 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. #J-18808-Ljbffr
At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. Lyft is looking for experienced and product-focused software engineers. 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 cross-functionally with product, data science, analytics, and operations on code that empowers 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 Senior Software Engineer for Rider, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to increase the adoption & usage of Lyft. Responsibilities: Write well-crafted, maintainable code and collaborate with product managers, designers, and engineering teams to deliver complex features from idea to execution. Manage project priorities, deadlines, and deliverables, while considering business context and failure modes in design decisions. Participate in code reviews, ensuring code quality, sharing knowledge, and mentoring junior engineers. Join the on-call rotation, triaging and resolving incidents/issues across applications and platforms. Contribute to defining the roadmap and architecture, and identify opportunities for process improvement and automation. Experience: 5+ years of software engineering experience with high-level programming languages; experience with Python and Go is a plus. BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience. Strong background in distributed systems, and proficient in both relational and NoSQL databases. Proven experience in designing, debugging, and managing fault-tolerant, highly available, large-scale distributed systems. Hands-on experience with public cloud platforms (AWS, GCP, Azure) and Kubernetes for scalable system deployment and container management. Benefits: Extended health and dental coverage options, along with life insurance and disability benefits. Mental health benefits. Family building benefits. Access to a Health Care Savings Account. In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service. 4 Floating Holidays each calendar year prorated based off of date of hire. 10 paid sick days per year regardless of province. 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible. Lyft proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. The expected base pay range for this position in the Toronto area is $124,800 - $172,000 CAD. 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. #J-18808-Ljbffr
At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. 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: Work within our product teams to build exciting features Implement pixel-perfect designs with advanced animations Extend and implement our APIs Implement unit and UI automation tests Experience: Experience using design and architecture patterns Understand unit testing Knowledge of Java, Kotlin, or .NET Good sense of usability and product Generalist engineer experience. Experience building web services and accessing data storages Experience pursuing side projects or open-source projects Shipped Android apps available on Google Play Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Access to a Health Care Savings Account In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service 4 Floating Holidays each calendar year prorated based on the date of hire 10 paid sick days per year regardless of province 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Lyft proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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, Thursdays, and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. The expected base pay range for this position in the Toronto area is CAD $108,000- $135,000. 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. #J-18808-Ljbffr
About Us At Prenuvo , we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience of our clinics across North America, have allowed us to lead the charge against “we caught it too late again.” Prenuvo operates preventative screening clinics in Vancouver, Silicon Valley, Dallas, Houston, Boca Raton, Seattle, Minneapolis, Los Angeles, San Diego, New York City, Buffalo, Bethesda, Chicago, and Atlanta, with more clinics in North America and internationally in the next 2 years. We are looking for a Senior Machine Learning Applied Scientist . You will be responsible for designing, implementing, and evaluating machine learning models for a variety of applications, with a focus on addressing challenges related to label noise, unsupervised learning, and diffusion denoising. In this role, you will collaborate closely with other members of our AI team, as well as with radiologists, product managers, and support engineers, to build end-to-end analytics solutions that deliver actionable insights to our customers. Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! What You’ll Do Design, implement, and evaluate machine learning models for a variety of applications, with a focus on addressing challenges related to label noise, unsupervised learning, and diffusion denoising Collaborate with other members of our AI team, as well as with radiologists, product managers, and support engineers, to build end-to-end analytics solutions that deliver actionable insights to our customers Stay up-to-date with the latest advances in machine learning and data science, and apply these techniques to our work as appropriate Participate in code reviews and help ensure that code quality and best practices are maintained across the team Work with cross-functional teams to ensure that our data science solutions are well integrated with other products and services What You’ll Bring Master's or PhD degree in Computer Science, Statistics, Mathematics, Physics, or a related field 5+ years of industry experience in machine learning or related field Strong background in machine learning, deep learning, and computer vision Experience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learning Experience with label noise mitigation techniques, such as co-teaching or mentor-guided learning Familiarity with transformer-based architectures such as BERT or GPT Experience with diffusion denoising techniques Strong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlow Strong communication and teamwork skills Nice to Have: Familiarity with cloud computing platforms such as AWS or Google Cloud Experience with medical imaging and/or healthcare data Strong publication record in top-tier machine learning or computer vision conferences/journals Our Values First: we are Pioneers Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work What We Offer An avenue to make a positive impact on people's lives and their health We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! Retirement made easy! We offer a 401(k) plan to our US employees to help you save for the future, with company contributions to support your financial goals. Plan for tomorrow while you grow with us today! We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family The base salary for this role ranges from $150,000 to $218,000 in local currency, depending upon experience
This role will be hybrid (3-4 days per week) based in our Vancouver office. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain ( prenuvo.com ). If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to . #J-18808-Ljbffr
At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We are seeking a Software Engineer to join the Localization team, responsible for processing all GPS signals of our users to better understand their location. The team owns the services and infrastructure that map-matches in real-time to connect drivers and riders and to provide a location-aware guidance experience for our users. Additionally, the team processes location data at the end of the ride to produce the distance and time that a driver spent on the ride. The team is also responsible for the toll traversals of our drivers and ensuring accurate toll payments for them. Overall, the team is very technical and goes deep into problems to ensure we deliver high-quality experiences to our customers. Localization is a critical function for Lyft, and in this role, you will be helping to ensure the reliable operations of services that are crucial for Lyft. We are looking for an engineer with proven expertise in system architecture, microservices, and big-data processing, and experience in building scalable solutions in cloud environments. Additionally, we are looking for someone with experience and interest in mapping, map-matching, HMMs, and Kalman filters. Our technology stack runs on AWS, Kubernetes, Python, Go, and C++. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning, and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: 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. Utilize your expertise in Python, Golang, AWS, C++, and SQL to deliver robust and scalable solutions. 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. Interest and experience with Map matching, Kalman filters, and HMMs. Interest in Mapping technologies. If you are a seasoned engineer with a passion for innovation, microservices, and possess the skills to ensure the ongoing maintenance and improvement of services, we invite you to join our dynamic team. Apply now to be part of an exciting journey in the world of mapping technology. 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. 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 proudly pursues and hires a diverse workforce. 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. 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 now if you wish to make such a request. 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $148,000. 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. #J-18808-Ljbffr
About Us At Prenuvo , we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience of our clinics across North America, have allowed us to lead the charge against “we caught it too late again.” Prenuvo operates preventative screening clinics in Vancouver, Silicon Valley, Dallas, Houston, Boca Raton, Seattle, Minneapolis, Los Angeles, San Diego, New York City, Buffalo, Bethesda, Chicago, and Atlanta, with more clinics in North America and internationally in the next 2 years. We are seeking anMRI Radiologist - Director of AI to lead and manage our ground truth generation efforts for AI model development and regulatory compliance. This role is essential in ensuring the high-quality labeling of medical imaging data, which is crucial for our AI product development and FDA submissions. The ideal candidate will be a Board-Certified Radiologist who is passionate about both clinical radiology and AI, with strong leadership skills and experience in regulatory pathways for medical devices. The role balances 25% clinical work (performing radiological reads) and 75% leadership and strategic development of ground truth generation initiatives . This position plays a key role in ensuring that the data used in our AI model development is accurate, standardized, and meets both AI development and regulatory requirements. We are open to candidates located in the following regions: British Colombia, Ontario, California, Illinois, New York, Florida, Texas, Maryland, Minneapolis, Georgia, Massachusetts Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! What You’ll Do Leadership and Strategy: Lead the development of AI ground truth generation processes, including data annotation and labeling, to support AI product development and regulatory submissions (e.g., FDA 510(k)) Ensure all ground truth generation processes are standardized, reproducible, and align with FDA regulatory standards and requirements Collaborate with cross-functional teams including radiologists, data scientists, and regulatory teams to ensure seamless development of AI models Mentor and expand the team of radiologists, physicians, and clinical researchers working on data annotation and AI ground truth generation Define and maintain data quality standards (labeling manuals) for AI training datasets, ensuring clinical relevance and accuracy through quality control Develop internal training programs for the labeling team to ensure consistency and high standards across all AI ground truth generation efforts Clinical Contribution: Perform clinical reads (25% of the role), focusing on advanced imaging cases, contributing to both clinical practice and the quality of AI models Regulatory and Compliance: Oversee the preparation of clinical evidence and ground truth data for FDA and other regulatory body submissions What You’ll Bring Board-Certified Radiologist with a minimum of 3 years of clinical reading experience Proven leadership experience, particularly in managing clinical teams or research departments focused on data annotation and AI Strong knowledge of regulatory standards for medical devices (FDA, IDE, etc.) and experience with clinical trials Experience with AI-driven diagnostics and data labeling for AI model development is a plus Excellent communication and collaboration skills, with the ability to work across clinical, engineering, and regulatory teams Our Values First: we are Pioneers Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work. What We Offer An avenue to make a positive impact on people's lives and their health We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our well-being - we have a flexible vacation policy and we will encourage you to use it We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family The base salary for this role ranges from $450,000- $550,000 in local currency, depending upon experience We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain ( prenuvo.com ). If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to #J-18808-Ljbffr
