The friendly ride-sharing alternative to Uber
Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...
Lyft • New York, NY
Lyft is seeking a Machine Learning Engineer to develop and launch algorithms that enhance fraud detection and prevention on their platform. You'll work with Python and machine learning techniques to solve diverse problems in transportation and safety. This role requires expertise in machine learning and data analysis.
You have a strong background in machine learning and data analysis, with experience in developing algorithms that solve complex problems. You understand the intricacies of building reliable ML systems and are excited about applying your expertise to enhance fraud detection and prevention. You thrive in collaborative environments and are eager to contribute to a team focused on innovation and excellence.
You possess a deep understanding of machine learning principles and have hands-on experience with relevant technologies. Your ability to analyze data and derive actionable insights is complemented by your passion for creating impactful solutions. You are motivated by the opportunity to work on diverse challenges that span across various domains, including transportation and safety.
Experience with fraud detection systems or similar applications is a plus. Familiarity with cloud platforms and data engineering practices will enhance your contributions to the team. You are open to learning new technologies and methodologies that can improve the effectiveness of your work.
As a Machine Learning Engineer at Lyft, you will be responsible for developing and launching algorithms that power the platform's core services. You will work closely with cross-functional teams to identify opportunities for applying machine learning to enhance user safety and trust. Your role will involve designing experiments, analyzing results, and iterating on models to improve performance.
You will contribute to the Integrity team's mission by leveraging your expertise in machine learning to build systems that detect and prevent fraud. This includes collaborating with software engineers to integrate ML models into production systems and ensuring their reliability and scalability. You will also be involved in monitoring the performance of deployed models and making necessary adjustments based on real-world data.
Your contributions will directly impact the safety and trustworthiness of the Lyft platform, making it a safer place for users. You will have the opportunity to work on cutting-edge AI-driven fraud-fighting platforms, pushing the boundaries of what is possible in the field of machine learning.
Lyft offers a competitive salary range for this position, between $140,800 and $176,000, depending on qualifications and experience. In addition to salary, you will have access to potential equity offerings, bonuses, and comprehensive benefits. We foster a culture of belonging and support, ensuring that all team members have the opportunity to thrive in their roles. Join us in making transportation safer and more reliable for everyone.
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