Top Machine Learning Jobs in Austin, TX

The Research Scientist will lead the development of Latent Space Models to advance voice AI capabilities. Responsibilities include creating neural audio codecs, generative models for human speech synthesis, embedding systems for data control, and optimizing architecture for scalable performance in real-time applications.

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.

The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.

The Real-Time Cloud Data Integration Engineer will design and develop real-time data integration solutions, ensuring data integrity and efficient processes. Responsibilities include working with cloud technologies, analyzing and troubleshooting SQL queries, collaborating with stakeholders, and maintaining existing data integration tools.

The Senior Machine Learning Engineer will develop and deploy NLP models for webAI's platform, focusing on LLMs, and applying state-of-the-art techniques. Responsibilities include collaborating with teams, optimizing models for structured and unstructured data, implementing MLOps practices, and preparing datasets for training.

The Principal Machine Learning Scientist will be responsible for scaling business initiatives through machine learning, including data ETLs, modeling, and analytics. This role involves improving the job recommendation process using big data processing and natural language models, ensuring better candidate-job matching.

As a Senior Machine Learning Engineer at Visa, you will lead the development of AI capabilities, collaborating with product and technical teams to deliver high-quality, data-driven solutions. Responsibilities include designing, developing, and refactoring systems for performance and maintainability, while ensuring timely delivery and effective communication with stakeholders.