Top Machine Learning Engineer Jobs in Austin, TX

The Principal Machine Learning Engineer will lead AI platform development, focusing on technical roadmap, architecture, and mentoring, while driving innovation in machine learning systems at Visa.

Lead the development and maintenance of Visa's Machine Learning Platform, facilitating infrastructure support for machine learning models and mentoring junior developers.

Develop specialized software for real-world machine learning use cases, optimize system performance, and manage production environment health.

Join the Hugging Face Special Ops team to bridge AI models with hardware, design user-friendly APIs, and enhance performance and deployment efficiency.

As a Staff Machine Learning Engineer, you will enhance bidding optimization systems, build advertiser products, and analyze system performance via experiments, collaborating with multiple teams.

The Staff Machine Learning Engineer will design scalable ML systems and improve model performance, collaborating on architecture and MLOps strategies while ensuring code quality.

The Cloud Machine Learning Engineer will build ML solutions on cloud platforms, integrate Hugging Face libraries, ensure performance, and develop robust APIs.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Lead the design and integration of Generative AI in Firefox. Build training infrastructure for language models and optimize performance.

The Senior Machine Learning Engineer will implement cloud observability solutions, monitor AI/ML model performance, automate DevOps practices, document processes, respond to incidents, and explore new cloud technologies.

The Staff Machine Learning Engineer leads the development of AI and machine learning systems, mentors teams, and ensures scalable, production-grade solutions while enhancing user engagement.

The Senior/Staff Machine Learning Engineer will design scalable data pipelines, implement ML algorithms, and work on microservice architectures for ad optimization.

As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and collaborate with data scientists and engineers at StackAdapt.

Lead the creation and optimization of machine learning algorithms for mobile advertising, focusing on data-driven strategies to enhance user acquisition and ROI.

As a Senior Machine Learning Engineer, you will focus on the development and maintenance of machine learning infrastructure, deploying scalable models, collaborating with teams, and mentoring junior engineers.

As a Senior Machine Learning Engineer, you will design and implement ML systems across various sectors, lead technical discussions, and collaborate with data scientists to drive innovative solutions.