Top AI & Machine Learning Jobs in Austin, TX

Own and evolve Braze’s ML platform for globally scaled training pipelines, model serving, deployment, orchestration, and observability. Lead complex infrastructure initiatives, improve reliability and cost efficiency, manage incident response, and establish production quality standards. Partner across teams, shape technical strategy, mentor senior engineers and data scientists, and connect platform decisions to customer and business outcomes.

Leads end-to-end development of production machine learning systems, including model training, serving, lifecycle management, and high-throughput APIs. Drives technical vision, distributed ML platform initiatives, cross-team programs, engineering quality, and mentorship. Designs predictive and generative AI solutions at scale, ensuring reliability, cost efficiency, and alignment with customer and business outcomes.

Embed with non-revenue teams to discover high-leverage workflows, build and ship AI agents/automations on shared infrastructure, coach teams to self-sufficiency, productize durable solutions, and scale reproducible playbooks across the company.

Design, build, and operate AI agents and decision-support systems embedded in GTM workflows. Conduct stakeholder research, prioritize problems, ship and iterate on agent outputs, monitor adoption and quality, and scale reusable solutions across sales and customer-success motions while staying closely embedded with field teams.