Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should have 7+ years of hands-on experience in machine learning or AI engineering, with strong Python programming skills and experience in PyTorch, TensorFlow, or equivalent frameworks. A proven track record of designing, training, and deploying ML systems in production, preferably for recommendation, fraud, or autonomous decision workflows, is required. Knowledge of data engineering, model serving, performance optimization, and experience mentoring engineers and leading technical projects are also necessary.
The Staff Machine Learning Engineer will build and deploy state-of-the-art ML models for personalized recommendations, fraud detection, transaction automation, and user behavior prediction. They will architect and scale ML systems for agentic commerce workflows, lead technical initiatives, guide other engineers, and influence the roadmap for core AI infrastructure. Collaboration with product, design, and research teams to implement ML ideas, experimentation with novel algorithms, and end-to-end ownership of projects from conception through deployment and optimization are key duties.
Provides seamless one-click payment solutions
Bolt improves the online shopping experience by providing secure payment solutions for e-commerce businesses. Its main product is a one-click checkout system that simplifies the payment process for online shoppers. This system includes features like Passkey, which allows users to log in and check out using methods such as PIN, Touch ID, and Face ID, making transactions faster and more secure. Bolt differentiates itself from competitors by guaranteeing a 20% increase in conversion rates for merchants, or they offer a money-back guarantee, showcasing their confidence in their technology. The goal of Bolt is to help online retailers enhance customer satisfaction and boost sales through a seamless checkout experience.