Senior Machine Learning Engineer

Your responsibilities, Design, develop, and maintain production-grade machine learning systems., Own the end-to-end ML lifecycle, including data preparation, model training, evaluation, deployment, inference, and iteration., Build robust and scalable training and inference pipelines., Translate research ideas into reliable production solutions., Monitor, debug, and improve ML models using real-world production signals., Continuously optimize models for accuracy, latency, reliability, efficiency, and cost., Collaborate closely with Research, Product, and Engineering teams to deliver impactful AI features., Mentor fellow ML engineers through technical leadership, code reviews, and knowledge sharing., Ensure ML systems meet production requirements around scalability, performance, safety, and maintainability. What we offer, Full-time employment, 100% remote work, Opportunity to build an AI-native product with global ambitions, Work with state-of-the-art AI technologies and modern backend infrastructure, High ownership and autonomy from day one, Collaboration with an exceptional engineering team passionate about innovation, Fast-paced environment where your ideas have real impact, Opportunity to solve complex engineering challenges at scale