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.With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants contemporary ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.If you are a critical thinker with experience in machine learning workflows, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.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.ResponsibilitiesPartner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impactPerform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problemsDevelop statistical, machine learning,



or optimization modelsWrite production quality code to launch machine learning models at scaleEvaluate machine learning systems against business goalQualificationsS., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience3+ years of Machine Learning experiencePassion for building impactful machine learning models leveraging expertise in one or multiple fields.Proficiency in Python, Golang, or other programming languageExcellent communication skills and fluency in EnglishStrong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed banditsBenefitsExtended health and dental coverage options, along with life insurance and disability benefitsMental health benefitsFamily building benefitsAccess to a Health Care Savings AccountIn addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service4 Floating Holidays each calendar year prorated based off of date of hire10 paid sick days per year regardless of province18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligibleLyft 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. #J-18808-Ljbffr

📌 Machine Learning Engineer (Toronto)
🏢 Lyft
📍 Toronto