Flex, a NYC-based FinTech innovator, is revolutionizing the rent payment landscape by offering flexible payment solutions that empower renters. As a Senior Staff Machine Learning Engineer, you'll be at the forefront of developing cutting-edge ML systems that drive business growth and innovation. This role combines technical leadership with hands-on development, requiring expertise in building and deploying production-grade machine learning models.
The position offers a competitive salary range of $188,000-$225,000 (varying by location) and comes with comprehensive benefits including full medical coverage, equity, and unlimited PTO. You'll work remotely while collaborating with a diverse, highly skilled team spread across the US, Australia, Canada, and South America.
Your responsibilities will span the entire ML lifecycle - from data collection and preprocessing to model deployment and monitoring. You'll build scalable data pipelines, implement state-of-the-art algorithms, and ensure optimal model performance in production. The role requires strong technical expertise in Python, ML frameworks, and cloud platforms, combined with the ability to work effectively across teams.
The ideal candidate brings 6+ years of ML engineering experience, advanced education in Computer Science or related fields, and a proven track record of delivering production-ready ML systems. You'll need to demonstrate not just technical excellence, but also strong collaboration skills as you work with data scientists, engineers, and product teams to drive innovation.
Join Flex to be part of a mission-driven company that's transforming how people manage their largest recurring expense, while working with cutting-edge technology in a flexible, remote environment with excellent growth opportunities.