Top Machine Learning Engineer Jobs in Austin, TX

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.

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

The Senior Staff Machine Learning Scientist will develop AI-powered products, build ML models and pipelines at scale, and lead the applied science team in an agile environment.

The Machine Learning Engineer will develop scalable ML systems, create APIs, and write production-quality code while collaborating with cross-functional teams to deliver business solutions.

As a Senior Data/ML Engineer, you'll design and improve data retrieval and ranking pipelines for content discovery, running experiments and collaborating cross-functionally.

The Senior Machine Learning Engineer will design, build, and deploy NLP models, focusing on large language models and MLOps practices.

The Staff Data Engineer will design and build large-scale ML systems, oversee the full ML lifecycle, develop scalable solutions, and collaborate with teams to implement ML models and features effectively.

The role focuses on developing LLM solutions, optimizing ML pipelines, advising data teams on architecture and tooling, and collaborating cross-functionally.

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

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, and partner with cross-functional teams.

Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.

Design and optimize data pipelines and infrastructure for advanced analytics and machine learning solutions, collaborating with various teams to ensure efficient data flows.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.