Senior Machine Learning Engineer, Recommendations

Overview Lyft is hiring a Senior Machine Learning Engineer, Recommendations in San Francisco. The role focuses on building and launching machine learning models and systems that impact core products, including recommendations and other business-critical areas. Responsibilities Work with engineers, data scientists, product managers, and business partners to apply machine learning for business and user impact. - Perform data analysis and build proof-of-concept solutions for new and existing problems - Develop statistical, machine learning, or optimization models - Write production-quality code to launch machine learning models at scale - Evaluate machine learning systems against business goals Requirements Candidates should have a B.S., M.S., or Ph.D. in Computer Science or a related quantitative field, or equivalent work experience, along with at least 5 years of machine learning experience. - Experience building impactful machine learning models - Proficiency in Python, Golang, or another programming language - Excellent communication skills and fluency in English - Strong understanding of supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits Benefits Lyft offers a range of benefits including insurance, mental health support, family-building and child care benefits, retirement savings, and paid time off. - Medical, dental, and vision insurance - Mental health benefits - Family building, child care, and pet benefits - 401(k) with company match - Paid time off and 18 weeks of paid parental leave - Subsidized commuter benefits - Monthly Lyft credits and complimentary Lyft Pink membership Other Relevant Heading This is a hybrid role based in San Francisco, with in-office work expected 3 days per week on Mondays, Wednesdays, and Thursdays. The expected base pay range is $162,800 to $203,500. - Hybrid schedule with up to 4 weeks per year work-from-anywhere flexibility - Base pay range: $162,800 - $203,500 Source https://app.careerpuck.com/job-board/lyft/job/8430552002?gh_jid=8430552002