Supports the development and deployment of production AI systems by fine-tuning and evaluating machine learning models, integrating AI features, working with training and evaluation data, running experiments, monitoring performance, and collaborating with engineering and product teams. Requires current enrollment in a relevant bachelor's or master's program, Python proficiency, familiarity with PyTorch or TensorFlow, and foundational machine learning knowledge.

Define the vision, roadmap, and priorities for AI-powered products. Translate customer needs and ambiguous AI capabilities into product requirements and user experiences, partnering with engineering, research, design, sales, and marketing to launch and improve products. Use customer feedback, usage data, and performance metrics to drive iteration and product value.

Build, fine-tune, deploy, and optimize production machine learning systems. Design scalable training, inference, evaluation, monitoring, and data pipelines; integrate models with enterprise systems and APIs; improve performance, reliability, latency, throughput, and cost efficiency; and collaborate with research, product, and engineering teams to deliver end-to-end AI features.