Top Machine Learning Engineer Jobs in Austin, TX

Dropbox is seeking a Machine Learning Engineer to design, code, train, test, deploy, and iterate on large scale machine learning systems. The role involves building products alongside a multi-functional team and shaping the direction of machine learning and AI at Dropbox.

Build cloud-based AI/ML solutions to power intelligent enterprise services. Collaborate with a team to produce quality software. Own code from design to delivery of high-quality solutions.

Build cloud-based AI/ML solutions for enterprise services, collaborate with a team of developers, product managers, and quality engineers, work with product owners to deliver high-quality solutions.

Work as a Senior Machine Learning Engineer specializing in Transformational AI at a leading global enterprise software company. Responsibilities include AI exploration, POC data set creation, data pipeline development, rapid prototyping, automated feature engineering, collaboration, and monitoring AI trends. Join a team dedicated to leveraging cutting-edge AI technologies to shape the future of work.

The Machine Learning Engineer will be responsible for deploying, managing, and supporting ML Applications & Services on Kubernetes, collaborating with Data Scientists and Data Engineers, and leveraging Cloudflare products and services for AI & ML initiatives.

Seeking a Machine Learning Engineer to design, develop, and implement Machine Learning algorithms for Cloudflare's security products. Responsibilities include collaborating with Data Scientists, deploying ML models, improving model performance, and contributing to the MLOps platform. Desirable skills include understanding machine learning concepts and experience with Deep Learning and NLP applications.

Seeking a Senior Machine Learning Engineer to build and maintain a machine learning platform, deploy ML models, introduce new infrastructure, collaborate with peers, ensure proper deployment and monitoring of models, and deliver efficient microservices. Must have 5+ years of experience, strong communication skills, and knowledge of ML algorithms and techniques.

Lead the deployment, management, and support of machine learning applications and services on Kubernetes. Collaborate with Data Scientists, Data Engineers, and internal teams to deliver ML solutions globally. Utilize Cloudflare products and services for AI & ML initiatives and applications. Implement software engineering best practices to publish model scores and insights at scale.