Senior AI Engineer - Machine Learning (US)

Partner with AI Scientists to build and productionize our tabular foundation models — owning the pretraining, fine-tuning, serving, and monitoring infrastructure and scaling it from research prototype to large-scale production.

Build reliable, performant ML infrastructure across research, staging, and production: data, training, and inference pipelines, CI/CD, observability, and reproducible workflows, tuned for latency, throughput, and resource usage.

Design evaluation and monitoring that reflect how models are actually used, including handling real-world data challenges such as distribution shift and limited labels.

Set engineering standards, lead design and architecture reviews, and drive adoption of new modeling approaches, algorithms, and infrastructure.

Partner with product and engineering teams to integrate ML into user-facing systems.

Define scope and roadmap for multi-team initiatives, drive cross-team and cross-functional alignment across AI Science, engineering, and product, and mentor senior engineers to raise the organization's technical bar.