Narvar, a leading post-purchase experience platform serving over 1300+ retail brands including GameStop, Neiman Marcus, Sonos, and Nike, is seeking a Staff Software Engineer specializing in Machine Learning. The role offers a unique opportunity to impact millions of users through sophisticated ML solutions in e-commerce and logistics.
The position requires a 'full-stack' ML Engineer who can write production-level code and own machine learning operations. You'll work on diverse challenges from natural language processing to user modeling, handling large-scale data (TB) in production environments. The role demands expertise in Python, PyTorch, Tensorflow, and various ML packages, along with strong software engineering principles.
The ideal candidate brings 5+ years of hands-on experience shipping ML models to production, complemented by an MS in a quantitative field. You'll join a company with hubs in San Francisco, Atlanta, London, and Bangalore, serving 125+ million consumers across 38 countries and 55 languages.
At Narvar, you'll be part of a mission to simplify consumers' everyday lives through post-purchase experiences. The company culture emphasizes innovation while maintaining a balanced, inclusive environment that celebrates professional and personal milestones. This remote position offers the opportunity to work with cutting-edge technologies while solving real-world problems in e-commerce and logistics.
The role combines technical expertise with leadership opportunities, requiring someone who can multiply the team's effectiveness through frameworks, tools, and methodologies. If you're passionate about machine learning, have a strong technical background, and want to impact global e-commerce, this position offers an excellent opportunity to shape the future of post-purchase experiences.